CN113132424B

CN113132424B - Method and device for obtaining abnormality evaluation information and electronic equipment

Info

Publication number: CN113132424B
Application number: CN201911392984.1A
Authority: CN
Inventors: 钱琨
Original assignee: Alibaba Group Holding Ltd
Current assignee: Alibaba Group Holding Ltd
Priority date: 2019-12-30
Filing date: 2019-12-30
Publication date: 2023-04-11
Anticipated expiration: 2039-12-30
Also published as: CN113132424A

Abstract

The embodiment of the application discloses a method and a device for obtaining abnormal evaluation information and electronic equipment. The method comprises the following steps: the method comprises the steps that a first server side obtains a first information base, and at least one abnormal evaluation mode information related to an evaluation object related to a commodity object circulation process is stored in the first information base; if the identification information of the target entity store submitted by the first client is obtained, determining target abnormity evaluation information related to the commodity object in the target entity store from the first information base, wherein the target abnormity evaluation information comprises the identification information of the target evaluation object and corresponding target abnormity evaluation mode information; and sending the target abnormity evaluation information to a second server so that the second server can evaluate and analyze the circulation process of the commodity objects in the target entity shop according to the target abnormity evaluation information to obtain evaluation result information corresponding to each commodity object and send the evaluation result information to a second client. Therefore, the abnormal positioning of the commodity object circulation process is conveniently and quickly realized.

Description

Method and device for obtaining abnormality evaluation information and electronic equipment

Technical Field

The application relates to the technical field of new retail, in particular to a method, a device and electronic equipment for obtaining abnormal evaluation information, and a data processing method, a device and electronic equipment for a commodity object circulation process.

Background

In a "new retail" business model, a retailer may open an off-line physical store, and a consumer user may make a purchase of a merchandise object directly to the off-line physical store. Meanwhile, the retailer can also provide an online shop corresponding to the physical shop through an online application program (App), and relevant information of commodity objects provided by the physical shop is displayed to the consumer user through the online shop, so that the consumer user can perform online ordering and ordering operations.

For the entity shop and the on-line shop, when providing services for the consumer user, the normal circulation of the commodity object is taken as the basic premise, so that the supervision of the circulation process of the commodity object is very important. Generally, the circulation process of commodity objects involves the mutual cooperation among a plurality of operating systems, and different operating systems are used for realizing task processing and data maintenance of different circulation links. For example, the purchase, registration and warehousing of the commodity object can be realized through an ordering operation system, the shelving management, display and placement of the commodity object can be realized through a warehousing operation system, the sales management of the commodity object can be realized through a sales operation system, and the fulfillment service is provided for the online order through a fulfillment operation system.

The operator (for example, a store manager, a department manager, etc.) can check the data maintained by the operating system, know the specific situation of the commodity object in each circulation link, and determine whether there is an abnormality in the circulation process.

Taking the commodity ordering link as an example, the ordering operation system can calculate the automatic ordering amount of the stores according to the actual sales condition of the stores, and the ordering operation personnel can issue ordering tasks to suppliers according to the automatic ordering amount to purchase commodity objects. When a store keeper checks the purchasing condition of a certain commodity object through an ordering operation system, the automatic ordering order quantity calculated by the operation system for the commodity object and the actual ordering order quantity issued by ordering operation personnel for the commodity object can be obtained, if the difference between the automatic ordering order quantity and the actual ordering order quantity is found to be large through comparison, the automatic order acceptance rate is abnormal, and the commodity object can be determined to be abnormal in an ordering link.

That is to say, for the circulation process of the commodity objects, the operator needs to check the corresponding operation data from different operation systems, and then determines whether the abnormality occurs in the circulation process of the commodity objects and which abnormality specifically occurs based on the abnormality, so that the consumption of the supervision mode on the labor cost and the time cost is very high, and particularly when the number of the commodity objects associated with the physical store is large, the abnormality treatment is not timely due to incomplete supervision, the normal operation of the downstream operation link is affected, and the related services provided by the store to the consumer user are affected.

Disclosure of Invention

The application provides a method and a device for obtaining abnormality evaluation information and electronic equipment, and a data processing method and a device for a commodity object circulation process and electronic equipment. The commodity circulation process can be evaluated and analyzed based on the abnormity evaluation information configured for the commodity objects in the entity stores, the evaluation result information of the commodity objects is obtained, the evaluation result information is displayed in a full link view mode, the operation of operators is facilitated to be simplified, the abnormity positioning of the commodity object circulation process can be conveniently and rapidly realized, and the labor cost and the time cost are saved.

The present application provides the following:

a method for obtaining anomaly evaluation information, comprising:

a first server obtains a first information base, wherein at least one abnormal evaluation mode information related to an evaluation object related to a commodity object circulation process is stored in the first information base;

if the identification information of the target entity store submitted by the first client is obtained, determining target abnormity evaluation information related to the commodity object in the target entity store from the first information base, wherein the target abnormity evaluation information comprises the identification information of the target evaluation object and corresponding target abnormity evaluation mode information;

and sending the target abnormity evaluation information to a second server so that the second server can evaluate and analyze the circulation process of the commodity objects in the target entity shop according to the target abnormity evaluation information to obtain evaluation result information corresponding to each commodity object and send the evaluation result information to a second client.

A method for obtaining anomaly evaluation information, comprising:

the third client provides operation options for submitting abnormal evaluation information, wherein the abnormal evaluation information comprises identification information of an evaluation object and corresponding abnormal evaluation mode information;

and after obtaining the abnormal evaluation information through the operation options, submitting the abnormal evaluation information to a first service end so that the first service end can be stored in a first information base, and after obtaining the identification information of the target entity shop submitted by a first client, determining the target abnormal evaluation information associated with the target entity shop from the first information base.

A data processing method for a commodity object circulation process comprises the following steps:

a second server obtains a second information base, wherein the second information base stores identification information of evaluation objects related to commodity objects in different entity shops, and data type information and abnormal evaluation mode information which are needed by evaluation analysis of the evaluation objects, and the evaluation objects related to the commodity objects and the corresponding abnormal evaluation mode information are determined by the first server;

if a data processing request submitted by a second client associated with a target entity store is obtained, determining a target evaluation object associated with the commodity object in the target entity store from the second information base;

obtaining target data under a data type corresponding to the target evaluation object from operation data related to a circulation process of the commodity object in the target entity shop;

and obtaining evaluation result information corresponding to each commodity object according to the target data and the abnormal evaluation mode information corresponding to the target evaluation object, and sending the evaluation result information to the second client.

a second client associated with the entity shop submits a data processing request to a second server;

obtaining evaluation result information corresponding to the commodity object in the entity shop issued by the second server, wherein the evaluation result information is determined by the second server according to the abnormal evaluation information associated with the commodity object, and the abnormal evaluation information comprises an evaluation object determined by the first server and corresponding abnormal evaluation mode information;

and determining a display area where the business domain associated with the evaluation object is located, and displaying the evaluation object and the evaluation result information of the corresponding commodity object in the display area.

A method for obtaining anomaly evaluation information, comprising:

acquiring a data processing request submitted by a third server, wherein the data processing request comprises identification information of a third-party shop related to the third server;

determining target abnormality evaluation information associated with the commodity objects in the third-party shops from the first information base, wherein the target abnormality evaluation information comprises identification information of target evaluation objects and corresponding target abnormality evaluation mode information;

and sending the target abnormity evaluation information to a second server so that the second server can evaluate and analyze the circulation process of the commodity objects in the third-party shop according to the target abnormity evaluation information to obtain evaluation result information corresponding to each commodity object and send the evaluation result information to the third server.

the method comprises the steps that a second server side obtains identification information of an evaluation object related to a commodity object in a third-party shop, data type information and abnormal evaluation mode information which are needed for evaluation and analysis of the evaluation object are obtained, and the evaluation object related to the commodity object and the corresponding abnormal evaluation mode information are determined by a first server side;

if the job data associated with the third-party shop and submitted by a third server is obtained, determining target data in a data type corresponding to the evaluation object from the job data;

and obtaining evaluation result information corresponding to each commodity object according to the target data and the abnormal evaluation mode information corresponding to the evaluation object, and issuing the evaluation result information to the third server.

An apparatus for obtaining anomaly evaluation information, applied to a first service end, includes:

an information base obtaining unit configured to obtain a first information base in which at least one piece of abnormality evaluation manner information associated with an evaluation object related to a commodity object circulation process is stored;

the system comprises an abnormality evaluation information determining unit, a first information base and a second information base, wherein the abnormality evaluation information determining unit is used for determining target abnormality evaluation information related to commodity objects in a target entity store from the first information base when identification information of the target entity store submitted by a first client is obtained, and the target abnormality evaluation information comprises the identification information of a target evaluation object and corresponding target abnormality evaluation mode information;

and the abnormity evaluation information sending unit is used for sending the target abnormity evaluation information to a second server so that the second server can evaluate and analyze the circulation process of the commodity objects in the target entity shop according to the target abnormity evaluation information to obtain evaluation result information corresponding to each commodity object and send the evaluation result information to a second client.

An apparatus for obtaining anomaly evaluation information, applied to a third client, includes:

the system comprises an operation option providing unit, a processing unit and a processing unit, wherein the operation option providing unit is used for providing operation options for submitting abnormal evaluation information, and the abnormal evaluation information comprises identification information of an evaluation object and corresponding abnormal evaluation mode information;

and the abnormality evaluation information submitting unit is used for obtaining the abnormality evaluation information through the operation options, submitting the abnormality evaluation information to the first service end so that the first service end can store the abnormality evaluation information in the first information base, and determining the target abnormality evaluation information associated with the target entity store from the first information base after obtaining the identification information of the target entity store submitted by the first client.

A data processing device for a commodity object circulation process is applied to a second server and comprises:

the information base obtaining unit is used for obtaining a second information base, wherein the second information base stores identification information of an evaluation object related to commodity objects in different entity shops, and data type information and abnormal evaluation mode information which are needed by evaluation analysis of the evaluation object, and the evaluation object related to the commodity objects and the corresponding abnormal evaluation mode information are determined by the first service terminal;

an evaluation object determining unit, configured to determine, from the second information base, a target evaluation object associated with the commodity object in the target physical store when a data processing request submitted by a second client associated with the target physical store is obtained;

a target data obtaining unit, configured to obtain target data in a data type corresponding to the target evaluation object from job data related to a circulation process of the commodity object in the target entity store;

and the evaluation result information obtaining unit is used for obtaining the evaluation result information corresponding to each commodity object according to the target data and the abnormal evaluation mode information corresponding to the target evaluation object, and sending the evaluation result information to the second client.

A data processing device of a commodity object circulation process is applied to a second client associated with a physical shop, and comprises the following steps:

the data processing request submitting unit is used for submitting a data processing request to the second server;

an evaluation result information obtaining unit, configured to obtain evaluation result information corresponding to a commodity object in an entity store issued by the second server, where the evaluation result information is determined by the second server according to abnormality evaluation information associated with the commodity object, and the abnormality evaluation information includes an evaluation object determined by the first server and corresponding abnormality evaluation mode information;

and the evaluation result information display unit is used for determining a display area where the business domain associated with the evaluation object is located, and displaying the evaluation result information of the evaluation object and the corresponding commodity object in the display area.

an information base obtaining unit configured to obtain a first information base in which at least one abnormality evaluation manner information associated with an evaluation object related to a commodity object circulation process is stored;

the data processing request obtaining unit is used for obtaining a data processing request submitted by a third server, and the data processing request comprises identification information of a third-party shop related to the third server;

an abnormality evaluation information determination unit configured to determine target abnormality evaluation information associated with the commodity object in the third-party store from the first information base, the target abnormality evaluation information including identification information of the target evaluation object and corresponding target abnormality evaluation mode information;

and the abnormality evaluation information sending unit is used for sending the target abnormality evaluation information to a second server, so that the second server can evaluate and analyze the circulation process of the commodity objects in the third-party shop according to the target abnormality evaluation information, and obtain evaluation result information corresponding to each commodity object and send the evaluation result information to the third server.

the system comprises an abnormal evaluation information obtaining unit, a first service end and a second service end, wherein the abnormal evaluation information obtaining unit is used for obtaining identification information of an evaluation object related to a commodity object in a third-party shop, and data type information and abnormal evaluation mode information which are needed by evaluation analysis of the evaluation object, and the evaluation object related to the commodity object and the corresponding abnormal evaluation mode information are determined by the first service end;

the target data obtaining unit is used for determining target data under the data type corresponding to the evaluation object from the job data associated with the third-party shop submitted by a third server;

and the evaluation result information obtaining unit is used for obtaining the evaluation result information corresponding to each commodity object according to the target data and the abnormal evaluation mode information corresponding to the evaluation object, and sending the evaluation result information to the third server.

An electronic device, comprising:

one or more processors; and

a memory associated with the one or more processors for storing program instructions that, when read and executed by the one or more processors, perform operations comprising:

obtaining a first information base, wherein at least one abnormal evaluation mode information related to an evaluation object related to a commodity object circulation process is stored in the first information base;

An electronic device, comprising:

one or more processors; and

providing operation options for submitting abnormal evaluation information, wherein the abnormal evaluation information comprises identification information of an evaluation object and corresponding abnormal evaluation mode information;

An electronic device, comprising:

one or more processors; and

memory associated with the one or more processors, the memory for storing program instructions that, when read and executed by the one or more processors, perform operations comprising:

acquiring a second information base, wherein identification information of an evaluation object associated with commodity objects in different entity shops, data type information and abnormal evaluation mode information required by evaluation analysis of the evaluation object are stored in the second information base, and the evaluation object associated with the commodity object and the corresponding abnormal evaluation mode information are determined by a first service terminal;

if a data processing request submitted by a second client associated with a target entity shop is obtained, determining a target evaluation object associated with the commodity object in the target entity shop from the second information base;

An electronic device, comprising:

one or more processors; and

submitting a data processing request to a second server;

obtaining evaluation result information corresponding to a commodity object in an entity shop issued by the second server, wherein the evaluation result information is determined by the second server according to abnormal evaluation information associated with the commodity object, and the abnormal evaluation information comprises an evaluation object determined by the first server and corresponding abnormal evaluation mode information;

An electronic device, comprising:

one or more processors; and

and sending the target abnormity evaluation information to a second server, so that the second server can evaluate and analyze the circulation process of the commodity objects in the third-party shop according to the target abnormity evaluation information, and obtain evaluation result information corresponding to each commodity object and send the evaluation result information to the third server.

An electronic device, comprising:

one or more processors; and

obtaining identification information of an evaluation object associated with a commodity object in a third-party shop, and data type information and abnormal evaluation mode information required for evaluation and analysis of the evaluation object, wherein the evaluation object associated with the commodity object and the corresponding abnormal evaluation mode information are determined by a first service terminal;

and obtaining evaluation result information corresponding to each commodity object according to the target data and the abnormal evaluation mode information corresponding to the evaluation object, and sending the evaluation result information to the third server.

According to the specific embodiments provided by the application, the application discloses the following technical effects:

in the embodiment of the application, the first service end can perform information configuration for each entity shop, determine the abnormality evaluation information related to the commodity object in the entity shop, and send the abnormality evaluation information to the second service end. Correspondingly, the second server side can automatically perform evaluation analysis according to the operation data generated by the commodity object in the circulation process and the associated abnormal evaluation information to obtain the evaluation result information corresponding to the commodity object, and the evaluation result information is issued to the second client side associated with the entity shop for display. By the data processing scheme, digital management of shops can be truly realized, and the data processing process does not depend on specific operators, so that the effectiveness of an evaluation result is improved; meanwhile, the commodity objects with abnormal circulation states can be timely and comprehensively positioned, and the circulation efficiency of the commodity objects is improved.

Of course, it is not necessary for any product to achieve all of the above-described advantages at the same time for practicing the present application.

Drawings

In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required in the embodiments will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.

FIG. 1 is a schematic diagram of a system provided by an embodiment of the present application;

FIG. 2 is a flow chart of a first method provided by an embodiment of the present application;

FIG. 3 is a flow chart of a second method provided by an embodiment of the present application;

fig. 4 is a schematic diagram of a full link view provided by an embodiment of the present application;

FIG. 5 is a schematic diagram of another full link view provided by an embodiment of the present application;

FIGS. 6-12 are flow diagrams of other methods provided by embodiments of the present application;

FIGS. 13-18 are schematic views of an apparatus provided by an embodiment of the present application;

FIG. 19 is a schematic diagram of an architecture of a computer system provided by an embodiment of the present application;

fig. 20 is a schematic diagram of an architecture of an electronic device provided in an embodiment of the present application.

Detailed Description

The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments that can be derived from the embodiments given herein by a person of ordinary skill in the art are intended to be within the scope of the present disclosure.

In order to facilitate understanding of a specific implementation scheme provided in the embodiment of the present application, an example of a circulation process of a commodity object related to the embodiment of the present application is first described below.

Taking the physical store 1 as an example, the order job system can calculate the automatic order amount of the commodity object according to the sales condition of the commodity object (for example, the daily sales number, stock quantity of the commodity object, expiration date, and the like). Taking the hairy crab as an example, the order operation server can calculate the automatic order quantity of the hairy crab and send the automatic order quantity to the order operation client associated with the order operator, for example, the automatic order quantity of the hairy crab is 200 sheets.

Correspondingly, after checking the automatic order quantity, the ordering operator can issue an ordering task to a goods supply system associated with the provider (also called supplier) of the live crabs through the ordering client. Specifically, the ordering operator can issue the ordering task to the goods supply system strictly according to the automatic ordering amount; or, the actual order quantity can be flexibly adjusted according to actual conditions, for example, order operators find that price of the live crabs rises obviously compared with yesterday through a supply system, daily sales of the live crabs may be affected, and therefore the order quantity of the live crabs can be adjusted down appropriately, for example, the actual order quantity in an order task issued by the live crabs is 150 orders.

In addition, the order operation server can also generate a receiving task and issue the receiving task to the order operation client associated with the receiving operator, so that when the supplier delivers the ordered commodity object to the physical store 1, the receiving operator can perform approval and receiving and warehousing on the commodity object according to the receiving task. Therefore, the ordering operation server can submit the warehousing information to the warehousing operation server, and the warehousing operation server generates the racking task and issues the racking task to the warehousing operation client related to the back-end operators, so that the back-end operators can carry out back-end operation and put the warehoused commodity objects on the shelves.

Correspondingly, after the back-end worker completes one racking task, the warehousing operation client side can submit the completed racking task processing result to the warehousing operation server side through the associated warehousing operation client side. Generally, the racking process is required to be completed within a certain time limit, so the warehousing operation server can also obtain the operation duration of the racking task, and accordingly, whether the rear field operators complete the racking operation within the specified time limit is determined.

For the commodity objects which are finished with the racking operation, the warehousing operation server can also determine whether the intra-field migration is needed according to the information of the remaining quantity of the commodity objects on the front field display rack (for example, the remaining quantity of the commodity objects can be reported by front field operators, or the remaining quantity of the commodity objects can be determined according to the sales volume of the commodity objects recorded by the sales operation system), that is, the commodity objects on the shelves are placed on the front field display rack.

For the commodity objects needing to be subjected to interior field migration, the warehousing operation server can generate display tasks and send the display tasks to the warehousing operation client associated with the front field operators, so that the front field operators can place a specified number of commodity objects on the display shelves according to the placement requirements of the commodity objects, and submit the processing results of completed tasks to the warehousing operation server through the warehousing operation client after the display tasks are completed. Thus, the consumer user can purchase the commodity object in the physical store.

When a consumer user performs a purchase operation of a commodity object through a physical store or an online store, the consumer user can submit related information (for example, identification information of the purchased commodity object, purchase quantity information, and the like) to the sales operation system to perform sales management. For example, when cash is collected and settled through the POS machine, information can be submitted through the POS machine; or after the online order is submitted through the App, the information can be submitted by the App. For the online order, a fulfillment operation system can also provide fulfillment services to perform and distribute the goods objects purchased online by the consumer user.

As can be seen from the above description, a lot of operation data are generated in the commodity object circulation process, and some of the operation data play a crucial role in the normal circulation of the commodity object, so that the evaluation object capable of evaluating the circulation state of the commodity object can be determined according to the data, and the circulation state can be supervised and managed.

In order to conveniently and quickly monitor the circulation process of the commodity objects, the embodiment of the application provides a scheme for pushing evaluation results to an operator in a full link view mode, so that the operator can quickly find the commodity objects with the abnormalities (which commodity objects have the abnormalities in the circulation process, which links have the abnormalities, and the like), and quickly locate the abnormalities.

Specifically, the abnormality evaluation information associated with the commodity objects in each physical store may be determined (the abnormality evaluation information may include the evaluation object and the abnormality evaluation mode information corresponding to the evaluation object), and then the circulation process of the commodity objects in the physical store is evaluated and analyzed, and the evaluation result information is obtained and pushed to the operator associated with the store for viewing.

Correspondingly, the present application may provide a tool for obtaining abnormality evaluation information, referring to the system diagram shown in fig. 1, where the tool may include: the system comprises a first service end, a first client and a third client. The first server deployed on the cloud server can create a first information base, store the abnormal evaluation information submitted by the third client into the first information base, further determine target abnormal evaluation information required for evaluating and analyzing the circulation process of the commodity object of the target entity shop from the first information base after acquiring the identification information of the target entity shop submitted by the first client, and send the target abnormal evaluation information to the second server.

The following explains an implementation process of determining target abnormality evaluation information with reference to the flowchart shown in fig. 2.

Example 1

S101: the first server side obtains a first information base, and at least one abnormal evaluation mode information related to an evaluation object related to a commodity object circulation process is stored in the first information base.

In the embodiment of the application, the types of the evaluation objects needing abnormal supervision can be determined by combining the commodity object circulation process, and then the corresponding abnormal evaluation mode information is determined for each type of evaluation object. Taking the shelf aging as an example, the corresponding abnormality evaluation mode information may be: if the racking operation is completed within 30 minutes, the operation is considered to be normal, otherwise, the operation is considered to be abnormal; taking the automatic order acceptance rate as an example, the corresponding anomaly evaluation mode information may be: and when the automatic order taking rate is less than 90%, the automatic order taking rate is regarded as abnormal.

In the first information base, one abnormality evaluation mode information may be correspondingly stored for the same type of evaluation object, or a plurality of abnormality evaluation mode information may be correspondingly stored, which may be determined by actual use conditions. As an example, the anomaly evaluation information saved by the first server for the shelf aging and the automatic order taking rate may be as shown in table 1 below.

TABLE 1

As an example, the abnormality evaluation information may be determined by an operator associated with the entity store according to the use requirement, and submitted to the first service end through the associated third client; alternatively, it may be determined empirically by the service expert and submitted to the first service through its associated third client. Specifically, the third client may provide an operation option for submitting abnormality evaluation information, where the abnormality evaluation information may include identification information of an evaluation object and abnormality evaluation mode information corresponding to the evaluation object; and after obtaining the abnormal evaluation information through the operation options, submitting the abnormal evaluation information to the first service end. Correspondingly, the first server may create a first information base for storing the anomaly evaluation information submitted by the third client.

Preferably, the third client may obtain a weight value associated with each piece of abnormality evaluation information, and submit the weight value to the first service end. Correspondingly, the first server may perform initial configuration on the commodity objects in the target entity stores according to the weight values, determine target abnormality evaluation information associated with each commodity object, and dynamically adjust the target abnormality evaluation information according to the weight values, and the specific implementation process may be described below, which is not described in detail herein.

The weight value submitted by the operator associated with the shop can be determined by combining the characteristics of the shop. For example, the weight value associated with the abnormality evaluation information that is more concerned by the store may be set slightly larger, so that when the first service end initially configures the commodity object associated with the store, the abnormality evaluation information with a larger weight value may be preferentially determined as the target abnormality evaluation information; in addition, when the first service end dynamically adjusts the target abnormality evaluation information for the store, the part of abnormality evaluation information with large weight value can be preferentially reserved and not replaced.

It is understood that, the attention points of different stores may be different, and the submitted weight values may also be different, so that when the first service end performs initial configuration for different entity stores based on the weight values, the determined target abnormality evaluation information may be different.

For the weight values submitted by the service experts, comprehensive analysis and determination can be performed on a plurality of stores, and universality is achieved, so that the weight values can be applied to all entity stores, and therefore, when the first service end performs initial configuration on different entity stores based on the weight values, the determined target abnormality evaluation information may be the same.

For the example given above, the weight values submitted by the business expert may be as shown in table 2 below.

TABLE 2

It should be noted that, if the first server not only stores the weight value submitted by the operator associated with the store, but also stores the weight value submitted by the service expert, the priority of the first server and the priority of the service expert can also be set. Taking the target abnormality evaluation information associated with the commodity object in the entity store 1 as an example, initial configuration may be preferentially performed according to a weight value submitted by an operator associated with the entity store 1, and if the operator does not set a weight value for some abnormality evaluation information(s), initial configuration may be performed according to a weight value submitted by a service expert.

Preferably, the third client may obtain the impact factor associated with the evaluation object and the corresponding abnormal evaluation mode information of the evaluation object under different state information of the impact factor, and submit the information to the first server. As an example, the influence factor may be weather information, road condition information, job processing capability information, change information of the class characteristics of the commodity object, or the like.

At least two abnormal evaluation mode information associated with the evaluation object will be explained below by taking the evaluation object (the performance time limit) associated with the performance delivery service domain as an example.

If the influence factor is weather information, the associated anomaly evaluation mode information may be: when the state information is that the weather is normal, the abnormal evaluation mode information corresponding to the performance timeliness is that the performance is performed for 30 minutes; and when the state information is abnormal weather, the abnormal evaluation mode information corresponding to the performance timeliness is 50 minutes of performance.

If the influence factor is the traffic information, the associated abnormal evaluation mode information may be: when the state information is that the road condition is normal, the abnormal evaluation mode information corresponding to the performance timeliness is 30 minutes of performance; and when the state information is abnormal road conditions, the abnormal evaluation mode information corresponding to the performance timeliness is 50 minutes of performance.

If the impact factor is job processing capability information, the associated abnormality evaluation mode information may be: when the state information is strong in operation capacity, the abnormal evaluation mode information corresponding to the performance timeliness is 30 minutes of performance; when the state information indicates that the operation capability is weak, the abnormality evaluation mode information corresponding to the performance timeliness is 50 minutes of performance.

If the influence factor is the variation information of the class characteristics of the commodity object, for example, for a commodity object supplied throughout the year, taking fish as an example, the season keeping time in summer and the like where the temperature is high is short, and the deterioration is easy, and the season keeping time in winter and the like where the temperature is low is relatively long, the abnormality evaluation manner information determined based on this may be: the state information is high-temperature seasons (or high temperature), and the abnormal evaluation mode information corresponding to the performance timeliness is 30 minutes of performance; the state information is the low-temperature season (or the temperature is low), and the abnormality evaluation mode information corresponding to the performance timeliness is 50 minutes of performance.

The implementation process of the evaluation analysis of the circulation process of the commodity object according to the influence factor can be referred to the following description, and will not be detailed here.

S102: and if the identification information of the target entity store submitted by the first client is obtained, determining target abnormality evaluation information associated with the commodity object in the target entity store from the first information base, and sending the target abnormality evaluation information to the second server.

As an example, when performing store information initialization, a developer submits a configuration request to a first server through a first client associated with the developer, and triggers the first server to determine target anomaly evaluation information associated with a commodity object in a target entity store, that is, a target evaluation object and corresponding target anomaly evaluation mode information required for evaluation and analysis of a commodity object circulation process in the target entity store. In this example, the first client may request the first server for initial configuration of at least one target entity store a single time.

Or, in another example, the physical store operator may submit a configuration request to the first server through its associated first client, and trigger the first server to determine associated target abnormality evaluation information for the commodity object in the store.

When the target entity store is initially configured, all types of evaluation objects stored in the first information base can be determined as target evaluation objects, and then one piece of target abnormality evaluation mode information is determined from at least one piece of abnormality evaluation mode information associated with each target evaluation object, so as to obtain target abnormality evaluation information associated with the commodity object in the target entity store. That is, if N types of evaluation objects are stored in the first information base, each commodity object may be associated with N items of target abnormality evaluation information.

Alternatively, a part of types of evaluation objects stored in the first information base may be determined as target evaluation objects, and then one piece of target abnormality evaluation manner information may be determined from at least one piece of abnormality evaluation manner information associated with each target evaluation object, so as to obtain target abnormality evaluation information associated with the commodity object in the target entity store. That is, if N types of evaluation objects are stored in the first information base, each commodity object may be associated with M entry label abnormality evaluation information, where N > M.

As an example, the first service end may determine, by means of default configuration, a target evaluation object from all types of evaluation objects, and determine, from at least one piece of abnormality evaluation method information associated with each target evaluation object, one piece of target abnormality evaluation method information, which is used to perform initial configuration on the target entity store.

In the embodiment of the application, the target abnormality evaluation mode information can be configured in a default mode in multiple modes. For example, in one mode, the abnormality evaluation manner information having the highest weight value may be determined as the target abnormality evaluation manner information. Taking the automatic order acceptance rate shown in table 2 as an example, in this manner, an abnormality of less than 90% may be determined as the target abnormality evaluation manner information.

Or, in another mode, the abnormality evaluation manner information associated with most of the entity stores may be determined as the target abnormality evaluation manner information. By taking the shelf aging as an example, if the time limit requirement of 40 minutes can be met when most of the entity stores are subjected to shelf loading operation, the 40 minutes of shelf loading can be determined as the target abnormality evaluation mode information.

In addition, it should be noted that the embodiment of the present application may determine the target abnormality evaluation information based on different granularities. For example, in one mode, the target abnormality evaluation information may be determined with the physical store as a base unit. Specifically, the evaluation object configured by default and the corresponding abnormality evaluation mode information may be determined as the target abnormality evaluation information. That is, when the evaluation analysis is performed on the circulation process of all the commodity objects related to the target entity shop, the same target abnormality evaluation information may be used. For example, all the shelf-on work periods of all the commodity objects are evaluated for abnormality on the basis of 40-minute shelf-on.

Or, in another mode, the target abnormality evaluation information may be determined with the commodity object as the basic unit. Specifically, commodity objects associated with the target entity store may be obtained, and an evaluation object configured by default under each commodity object and corresponding abnormality evaluation mode information may be determined as target abnormality evaluation information. That is, when performing evaluation analysis on the circulation process of different commodity objects associated with the target entity store, different target abnormality evaluation information may be used.

Different commodity objects correspond to different target abnormality evaluation information, and may correspond to the same type of target evaluation object, but target abnormality evaluation mode information associated with the target evaluation object may be different. For example, seafood commodity objects have a higher requirement on the freshness date than standard product commodity objects, so for the shelf life, the target abnormality evaluation mode information associated with the seafood commodity objects may be 30 minutes for shelf life, and the target abnormality evaluation mode information associated with the standard product commodity objects may be 40 minutes for shelf life.

Alternatively, different commodity objects correspond to different target anomaly evaluation information, or correspond to different types of target evaluation objects, that is, a commodity object may be associated with a common target evaluation object that is the same as another commodity object, or may be associated with an individual target evaluation object that is different from another commodity object. Still taking seafood class commodity objects as an example, compared with other class commodity objects, the following target evaluation objects can also be associated: the seafood expiration rate and the corresponding target abnormality evaluation mode information may be that the seafood expiration rate is abnormal when being greater than 30%.

In response to this, the first information base may store an association between the commodity object and the abnormality evaluation information. For example, the commodity object may be used as a basic unit, and the association relationship between the commodity object identification information and the abnormality evaluation information is stored; or, the department to which the commodity object belongs can be used as a basic unit, and the association relationship between the department identification information and the abnormal evaluation information is stored; or, the item type of the commodity object can be used as a basic unit, and the association relationship between the item type identification information and the abnormality evaluation information can be stored, and the like.

As an example, the association relationship related to the shelf aging saved by the first service end may be as shown in table 3 below.

TABLE 3

Besides, besides the initial configuration is completed in the above default configuration mode, personalized customized configuration can be performed according to the use requirements of the entity shop. For example, the first server may send identification information of an evaluation object related to a commodity object circulation process to the first client, and a user associated with the first client selects a target evaluation object associated with a target entity store from the identification information and submits the target evaluation object to the first server, so that the first server may determine the target evaluation object and corresponding default configuration abnormality evaluation mode information as target abnormality evaluation information. That is, for different entity shops, the target evaluation object for abnormal supervision can be determined according to the focus of attention required by the entity shops, and the personalized supervision service among the shops is realized.

Or, further, the first server may issue the anomaly evaluation mode information corresponding to the target evaluation object to the first client, so that a user associated with the first client selects the target anomaly evaluation mode information corresponding to the target evaluation object.

S103: and updating and dynamically adjusting the target abnormality evaluation information.

After determining the target anomaly evaluation information associated with the commodity objects in the target entity store, the first service end can send the target anomaly evaluation information to the second service end, so that the second service end can evaluate and analyze the circulation process of the commodity objects in the target entity store according to the target anomaly evaluation information, obtain evaluation result information corresponding to each commodity object, and send the evaluation result information to the second client end associated with the target entity store for display. According to the scheme, the operator can timely find the abnormity and quickly process the abnormity, and the circulation efficiency of the commodity object is improved.

Preferably, the first server can also optimize the target abnormality evaluation information according to the use requirements of the target entity stores. For example, when the evaluation demand of the commodity object in the target entity store changes, the target abnormality evaluation information may be updated, and the updated target abnormality evaluation information is sent to the second server, so that the second server evaluates and analyzes the circulation process of the commodity object in the target entity store according to the updated target abnormality evaluation information.

As one example, the assessment change in demand may be a change in an association between the target physical store and the target merchandise object. Correspondingly, the first server side can obtain the change mode information of the incidence relation between the target entity shop and the target commodity object submitted by the second client side; and updating the target evaluation object associated with the target commodity object and the corresponding target abnormal evaluation mode information according to the change mode information. That is, the target evaluation information may be automatically updated as the merchandise object associated with the target entity store changes.

The commodity object associated with the physical store may be a commodity object that is subjected to shelving processing, that is, an association relationship between the target physical store and the target commodity object is newly established. Correspondingly, the first server side can determine an evaluation object associated with the target commodity object and abnormal evaluation mode information corresponding to the evaluation object from the first information base, and add the evaluation object and the abnormal evaluation mode information to the target abnormal evaluation information.

For example, the steamed crab is generally good in quality in 9 to 11 months, if the steamed crab is shelved by the shop 1 at this time, the association relationship between the shop 1 and the steamed crab can be established, and the association relationship is submitted to the first service end through the second client end. Therefore, the first service end can determine the evaluation object associated with the live fresh water crabs and the corresponding abnormal evaluation mode information from the first information base, add the evaluation object and the corresponding abnormal evaluation mode information into the target abnormal evaluation information associated with the shop 1, and obtain the updated target abnormal evaluation information.

Alternatively, the commodity object associated with the physical store may be changed by performing a shelf-off process on the commodity object, that is, canceling the association between the target physical store and the target commodity object. Correspondingly, the first server may delete the target evaluation object associated with the target commodity object and the corresponding target abnormality evaluation mode information from the target abnormality evaluation information.

For example, in 12 months, the quality of the live crabs is poor, the sales volume is poor, the store 1 can perform the off-shelf treatment on the live crabs, and the second client can submit the information for releasing the association relationship between the store 1 and the live crabs to the first service end. In this way, the first server may delete the target evaluation object associated with the live crabs and the corresponding target abnormality evaluation mode information from the target abnormality evaluation information associated with the shop 1, and obtain updated target abnormality evaluation information.

In the implementation manner, when the commodity object associated with the target entity store changes, the second client actively submits information related to the change to the first service end, and the first service end is triggered to update the target abnormal evaluation information. Or, in another implementation manner, after the first service end determines the target commodity object, the first service end may generate the prompt information according to the change manner of the association relationship between the target entity store and the target commodity object, and send the prompt information to the second client end for confirmation, and update the target abnormality evaluation information according to the confirmation information submitted by the second client end.

Similarly, the change manner of the association relationship between the target entity store and the target merchandise object may include a disassociation relationship or a new association relationship, which will be described in the following.

For the case of releasing the association relationship, the first server may perform statistical analysis on the evaluation result information of the target entity store to obtain abnormal frequency information of each commodity object in a preset time period, determine the commodity object with the abnormal frequency exceeding a preset frequency (regarding the preset frequency, the value may be the same as or different from the value of the preset frequency during the replacement processing of the evaluation information, and the specific value may be determined in combination with the actual application requirement) as the target commodity object, and generate prompt information for releasing the association relationship between the target entity store and the target commodity object and send the prompt information to the second client.

Correspondingly, the target entity store can perform shelf unloading processing on the target commodity object, and confirmation information for releasing the association relationship between the target entity store and the target commodity object is returned to the first server through the second client. Therefore, the first server can delete the target evaluation object associated with the target commodity object and the corresponding target abnormality evaluation mode information from the target abnormality evaluation information.

Alternatively, the target entity store may continue to maintain the on-sale state of the target merchandise object, and return confirmation information that maintains the association between the target entity store and the target merchandise object to the first server via the second client. At this time, the first server may not update the target abnormality evaluation information.

Preferably, when determining that the association relationship between the target entity store and the target commodity object is reserved, the operation reason information corresponding to the operation mode may be obtained and submitted to the first service end. The operation cause information may be abnormality cause information in which an abnormality occurs in the circulation of the target commodity object, or may be information related to the operation of the target commodity object (for example, information related to a sales volume attribute, a profit attribute, a user demand attribute, and the like of the target commodity object).

In the embodiment of the application, the second client may submit the operation reason information to the first service terminal through various implementation manners. For example, in one mode, the first service end may obtain the optional operation reason information in advance, and issue the optional operation reason information to the second client end, so that the second client end may display the optional operation reason information after obtaining the confirmation information that maintains the association relationship between the target entity store and the target commodity object, and obtain the target operation reason information selected by the user, and submit the target operation reason information to the first service end. That is, the operation cause information can be obtained by way of information clicking.

Or, in another mode, after obtaining the confirmation information that maintains the association relationship between the target entity store and the target commodity object, the second client may provide an operation option for submitting the operation reason information, and submit the operation reason information obtained through the operation option to the first service end. That is, the operation cause information can be obtained by way of user editing.

In this way, the first server may establish an association relationship between the target commodity object and the operation reason information, so that when the abnormal frequency of the target commodity object exceeds the preset frequency again, whether to issue the prompt information to the second client may be determined according to the operation reason information.

For example, the operation reason information is that rainfall causes the target commodity object to flow abnormally, when the abnormal frequency of the target commodity object exceeds the preset frequency again, the first server side can obtain real-time weather information of the place where the target entity shop is located, and if the weather information indicates that the weather is normal, it can be determined that the rainfall does not cause the target commodity object to flow abnormally at present, and prompt information can be generated and sent to the second client side. If the weather information indicates that the weather is abnormal (for example, severe weather such as rainfall, snowfall, typhoon and the like), the prompt information is not pushed to the second client; or, the first server may generate prompt information including weather anomaly information and send the prompt information to the second client for the second client to confirm.

Understandably, if the target commodity object circulation is abnormal due to abnormal weather, the confirmation information can be submitted to the first service end through the second client end; if the target commodity object flow is abnormal due to other reasons, providing an operation option for obtaining new operation reason information, and submitting the new operation reason information obtained through the operation option to the first service terminal.

Preferably, the first server may perform summary analysis on the operation reason information, determine an action range corresponding to the operation reason information, and establish an association relationship between the operation reason information and the commodity objects within the action range. For example, the operation reason information is traffic control, and the information may be applied to all commodity objects, so that an association relationship between the operation reason information and all commodity objects in the target entity shop may be established.

Preferably, the first server may uniformly associate the operation reason information with the commodity objects corresponding to the other entity stores when the operation reason information satisfies a preset condition. That is, the commodity object in the action range corresponding to the operation cause information may be a commodity object in the target physical store or a commodity object in another physical store.

As an example, the preset condition may be that the number of the physical stores that submit the operation reason information reaches a preset number. For example, if a certain commodity object (or a commodity object of a certain category) has a circulation abnormality for 100 physical stores, 50 stores submit the same operation reason information, and the first server can collectively arrange the operation reason information to commodity objects corresponding to 100 stores.

The first service end can determine a target commodity object capable of being subjected to shelf unloading processing according to the evaluation result information of the target store, and can also determine a target commodity object capable of being subjected to shelf unloading processing, and the target commodity object is issued to the second client end to be confirmed.

Specifically, the first server may obtain historical evaluation result information and historical transaction information (for example, information related to sales attributes, profit attributes and the like of the commodity objects) corresponding to the commodity object, determine the commodity object with a good historical evaluation result (for example, the abnormal frequency of the commodity object is lower than a preset value, or the number of the evaluation objects in an abnormal state is lower than a preset number) and good historical transaction information (for example, the attribute values of sales, profits and the like exceed preset values) as a target commodity object capable of being subjected to shelf loading, and generate prompt information for newly establishing an association relationship between the target entity and the target commodity object and send the prompt information to the second client.

Correspondingly, the target entity store can perform shelving processing on the target commodity object, and confirmation information for establishing the association relationship between the target entity store and the target commodity object is returned to the first server side through the second client side. Therefore, the first service end can determine the evaluation object associated with the target commodity object and the abnormal evaluation mode information corresponding to the evaluation object from the first information base and add the evaluation object and the abnormal evaluation mode information to the target abnormal evaluation information.

In addition, for the case that the target entity store does not perform the shelving processing on the target commodity object, the second client may submit the operation reason information corresponding to the operation mode to the first server for explaining the reason for not performing the shelving processing. For the manner of submitting the operation reason information by the second client, the processing procedure of the first service on the operation reason information, and the like, reference may be made to the above description, and no further description is given here.

The target commodity object that can be shelved may be a commodity object that has been shelved in history in the target physical store, and accordingly, it may be determined whether the target commodity object can be identified by performing data analysis based on history data of the commodity object in the target physical store. Alternatively, the target commodity object that can be shelved may be a commodity object that is not shelved in the target physical store, and correspondingly, data analysis may be performed based on the history data of the commodity object in other physical stores, and if the history data in most stores is good, the commodity object may be determined to be the target commodity object.

Or, as another example, the evaluation requirement changing may be that target abnormality evaluation manner information associated with the target commodity object changes. Correspondingly, the first server side can obtain an updating request submitted by the second client side, wherein the updating request can comprise identification information of a target commodity object, identification information of a target evaluation object to be updated and corresponding new abnormal evaluation mode information; and updating the target abnormality evaluation information associated with the target commodity object according to the updating request. That is to say, the target abnormality evaluation mode information corresponding to the target evaluation object to be updated associated with the target commodity object may be updated according to the actual situation of the target entity store.

For example, in the target abnormality evaluation information determined by the first server for the live action crabs in the entity shop 1, the abnormality evaluation mode information related to the aging of putting on the shelf is 30 minutes, but in the actual evaluation process, because the number of field workers who perform the putting on the shelf processing in the shop 1 is small, the problem that the putting on the shelf is not timely often occurs, when the problem cannot be solved temporarily, the operator related to the shop 1 may request the first server to update the abnormality evaluation mode information corresponding to the aging of putting on the shelf related to the live action crabs, for example, the update of the abnormality evaluation mode information to 40 minutes of putting on the shelf may be requested.

In this example, the new abnormality evaluation mode information corresponding to the target evaluation object to be updated may be stored in the first information base, and for example, the abnormality evaluation mode information corresponding to the on-shelf aging may be updated to 40 minutes or 50 minutes according to the example illustrated in table 1. Or, the new anomaly evaluation mode information may be customized by an operator according to actual requirements, for example, the anomaly evaluation mode information corresponding to the on-shelf aging may be requested to be updated to 45 minutes, and accordingly, it may be considered that one piece of anomaly evaluation information is newly added, and the first server may store the new anomaly evaluation information in the first information base, so that 4 pieces of anomaly evaluation mode information are associated with the on-shelf aging.

In addition, the target abnormality evaluation information is optimized, and can be dynamically adjusted according to a preset period. Similarly, the first server may send the adjusted target abnormality evaluation information to the second server, so that the second server evaluates and analyzes the circulation process of the commodity object in the target entity store according to the adjusted target abnormality evaluation information.

As an example, the dynamic adjustment of the target abnormality evaluation information may be that, based on the actual demand of the target entity store, part of the target evaluation objects and the corresponding target abnormality evaluation mode information are deleted on the basis of the target abnormality evaluation information, which is helpful for reducing the calculation amount when the second server performs abnormality evaluation and saving the processing resource of the second server.

In one mode, the target anomaly evaluation information can be dynamically adjusted according to the attention of the operator. Specifically, the access frequency information of the user associated with the second client on the evaluation result of the target evaluation object in a preset period can be obtained; and determining the target evaluation object to be processed with the access times lower than the preset times, and deleting the target evaluation object to be processed and the corresponding target abnormality evaluation mode information from the target abnormality evaluation information.

For the evaluation objects frequently visited by the user, the evaluation objects are generally closely related to the actual supervision requirements of the stores, and the user needs to pay important attention in the supervision process, so that the number of times of visiting the evaluation results of the target evaluation objects by the user in a preset period can be obtained. For the target evaluation object with the access frequency lower than the preset frequency, the target evaluation object to be processed which is not interested by the user can be determined, and the first service end is requested to delete the target evaluation object to be processed and the corresponding target abnormality evaluation mode information from the target abnormality evaluation information. The access number information may be embodied as UV (Unique visitor) and PV (Page View).

Or, in another mode, the target abnormality evaluation information may be dynamically adjusted according to the abnormality frequency of the target evaluation object. Specifically, statistical analysis may be performed on the evaluation result information in a preset period to obtain abnormal frequency information of the target evaluation object in an abnormal state; and determining a target evaluation object to be processed with an abnormal frequency lower than a preset frequency, and deleting the target evaluation object to be processed and corresponding target abnormal evaluation mode information from the target abnormal evaluation information.

For an evaluation object with a high abnormal frequency, an operator is usually required to be reminded to pay important attention so that the operator can timely perform abnormal processing, and therefore, the evaluation result of the target entity shop can be subjected to statistical analysis to obtain the abnormal frequency of the target evaluation object in a preset period. For a target evaluation object with an abnormal frequency lower than the preset frequency, the target evaluation object to be processed which does not need to be concerned by the user can be determined, and the first service end is requested to delete the target evaluation object to be processed and the target abnormal evaluation mode information corresponding to the target evaluation object from the target abnormal evaluation information. The evaluation result information of the target entity store can be submitted to the first service end by the second service end, or can be submitted to the first service end by the second client end.

In the above example of deleting part of the target evaluation objects and the target abnormality evaluation mode information corresponding to the target evaluation objects, the target evaluation objects and the target abnormality evaluation mode information corresponding to the target evaluation objects may be deleted from the abnormality evaluation information associated with all the commodity objects in the store, that is, all the commodity objects do not use the target evaluation objects to be processed and the target abnormality evaluation mode information corresponding to the target evaluation objects any more to perform evaluation analysis; or, the evaluation result may be deleted from the abnormality evaluation information associated with part of the commodity objects, that is, the commodity object may be used as a basic unit to obtain the number of access times of the evaluation result of the associated target evaluation object; or acquiring abnormal frequency information of the associated target evaluation object, and performing dynamic adjustment.

As another example, the dynamic adjustment of the target abnormality evaluation information may be to determine new target abnormality evaluation information for the commodity objects in the target physical store according to the actual needs of the target physical store, where the target evaluation object, the corresponding target abnormality evaluation mode information, and the like may change compared to the initially configured target abnormality evaluation information.

Specifically, the first server may obtain the following three pieces of information: the evaluation object in the first information base and the weight value associated with the corresponding abnormal evaluation mode information, the abnormal frequency information of the evaluation object in the first information base and the corresponding abnormal evaluation mode information in a preset period, and the access frequency information of the user associated with the second client to the evaluation result of the evaluation object in the preset period, so that the evaluation values of the evaluation object and the corresponding abnormal evaluation mode information are determined according to the weight value, the abnormal frequency information and the access frequency information, and the evaluation object with the high evaluation value and the corresponding abnormal evaluation mode information are determined to be the adjusted target abnormal evaluation information.

That is to say, the second server may determine new abnormality evaluation information for the commodity object in the target entity store according to the weighted value of the abnormality evaluation information and the usage requirement of the target entity store in the preset period. The weight value of the abnormality evaluation information may be provided by the business specialist as introduced above, used as a guide opinion, or may be provided by the operator of the target entity shop; the use requirement of the target entity shop in the preset period can be represented as the abnormal frequency of the evaluation object and the visit times of the operator.

Specifically, the abnormal frequency information may be determined based on evaluation result information corresponding to the commodity object in the target entity store obtained by the second server. For example, the second server may obtain all the abnormal evaluation information stored in the first information base, determine evaluation result information corresponding to each evaluation object according to the job data generated in the commodity object circulation process, further perform statistics to obtain abnormal frequency information of each evaluation object in a preset period, and submit the abnormal frequency information to the first server. Or, the second service end may submit evaluation result information corresponding to each evaluation object to the first service end, and the first service end counts abnormal frequency information of each evaluation object in a preset period.

As an example, the second server may perform the above operation when obtaining the data processing request submitted by the second client, that is, in addition to obtaining the evaluation result corresponding to the commodity object in the target entity store according to the target abnormal evaluation information and issuing the evaluation result to the second client, the second server may also statistically obtain the abnormal frequency information of each evaluation object in the preset period and submit the abnormal frequency information to the first server. Or, a timing task may be set, the second service end is triggered to execute the above operations at a timing, and the abnormal frequency information of each evaluation object in the preset period is submitted to the first service end.

Or, the abnormal frequency information may be determined based on the evaluation result information corresponding to the commodity object in the target entity store obtained by the first server. For example, the second server may submit job data generated in the commodity object circulation process to the first server when obtaining a data processing request submitted by the second client, or may submit the job data to the first server according to the trigger of the timing task, so that the first server determines evaluation result information corresponding to each evaluation object according to the abnormal evaluation information stored in the first information base, and obtains information about the abnormal frequency of each evaluation object in a preset period through statistics.

After obtaining the above three information, the first server may perform logical operation on the three information to obtain the scoring values of each evaluation object and the corresponding abnormal evaluation mode information, for example, the three information may be normalized and then summed.

Generally, the larger the weight value associated with the evaluation object and the corresponding abnormal evaluation mode information is, the more important the supervision on the commodity circulation is; the higher the abnormal frequency associated with the evaluation object and the corresponding abnormal evaluation mode information is, the more the operator of the shop needs to pay key attention; the more the access times of the evaluation objects and the corresponding abnormal evaluation mode information are, the more the evaluation objects and the corresponding abnormal evaluation mode information are closely related to the supervision requirement of the shop, so the score values can be sorted, the adjusted target abnormal evaluation information corresponding to the commodity object in the target entity shop in the current preset period is determined from the abnormal evaluation information with high score values, and the adjusted target abnormal evaluation information is issued to the second server.

Taking the shelf aging as an example, in the target abnormality evaluation information associated with the commodity objects in the entity store 1, the abnormality evaluation mode information corresponding to the shelf aging is 40 minutes for shelving, and if it is found during subsequent statistical analysis, the commodity objects in the entity store 1 can complete shelving tasks within 30 minutes, that is, for three pieces of abnormality evaluation information, namely 30 minutes for shelving, 40 minutes for shelving, and 50 minutes for shelving, the corresponding abnormality frequencies are the same, and then, in combination with the weight values associated with the abnormality evaluation information, the abnormality evaluation mode information corresponding to the shelf aging can be adjusted to 30 minutes for shelving. That is, when the circulation efficiency of the commodity object is good, the abnormality evaluation may be performed in a manner with a high requirement, for example, as in the above example, the abnormality evaluation manner information with a high requirement may be determined for the evaluation object associated with the commodity object; or more types of evaluation objects can be configured for the commodity object, and then more-dimensional evaluation analysis is performed on the circulation process of the commodity object according to the abnormal evaluation mode information corresponding to the evaluation objects.

Or, in another example, if the abnormal frequency corresponding to the shelf-on for 30 minutes of the commodity objects in the physical store 1 is higher than the abnormal frequency corresponding to the shelf-on for 40 minutes, when the second server performs dynamic adjustment, the abnormal evaluation mode information corresponding to the shelf-on timeliness may be adjusted to be 30 minutes for shelf-on based on the abnormal frequency information and the weight value, so that the operator of the store 1 optimizes the circulation process of the commodity objects, and the problem of high abnormal frequency of the shelf-on timeliness is solved.

Correspondingly, the embodiment of the present application further provides a tool for evaluating and analyzing the circulation process of the commodity object, which may include: a second client and a second server. The second server deployed on the cloud server can obtain the abnormal evaluation information configured by the first server for the commodity objects in each entity shop, so that the abnormal evaluation information associated with the target entity shop can be determined after the data processing request submitted by the second client associated with the target entity shop is obtained, the circulation process of the commodity objects in the target entity shop is evaluated and analyzed, the evaluation result information corresponding to each commodity object is obtained, and the evaluation result information is issued to the second client for displaying. The following explains an implementation of data processing with reference to the flowchart shown in fig. 4.

Example 2

S201: and the second server acquires a second information base, wherein the second information base stores evaluation objects related to the commodity objects in different entity shops, and data type information and abnormal evaluation mode information which are required by evaluation and analysis of the evaluation objects.

In the embodiment of the application, the second server can obtain the abnormality evaluation information associated with the commodity objects in each entity store through the first server, and accordingly determine the evaluation object used for performing abnormality evaluation on the circulation process of the commodity objects in the entity store and the abnormality evaluation mode information corresponding to the evaluation object. In addition, the second server can also obtain the association relationship between the evaluation object and the corresponding data type information. Therefore, when the second server-side performs the abnormal evaluation on the circulation process of the commodity object, after the evaluation object associated with the commodity object is determined, the evaluation result corresponding to the commodity object can be obtained according to the data type information and the abnormal evaluation mode information corresponding to the evaluation object.

As an example, the association relationship between the identification information of the evaluation object, the data type information, and the abnormality evaluation mode information may be stored in a data table; alternatively, the identification information of the evaluation target and the corresponding data type information may be stored in one data table, and the identification information of the evaluation target and the corresponding abnormality evaluation mode information may be stored in the other data table. The embodiment of the present application does not specifically limit this, as long as the association relationship between the three can be clarified.

Taking the shelf aging time associated with the commodity object in the physical store 1 as an example, the information stored by the second server may be as shown in table 4 below.

TABLE 4

Physical shop	Evaluation object	Type of data	Method of evaluating abnormality
				Physical store 1	On shelf aging	Duration of operation	Abnormality in more than 40 minutes

S202: and obtaining a data processing request submitted by a second client associated with the target entity shop.

In the above example, the store manager of the physical store 1 may serve as an operator to submit a data processing request to the second server through its associated second client.

As an example, the second client may submit a data processing request to the second server when receiving a user trigger to start, so that the user can directly view an evaluation result returned by the second server after entering the second client. Or, the second client may provide an operation option for submitting the data processing request, and submit the data processing request submitted by the user to the second server after obtaining the data processing request submitted by the user through the operation option, that is, the second client may submit the data processing request to the second server when the user wants to view the monitoring result according to the user requirement.

S203: and determining a target evaluation object associated with the commodity object in the target entity store from the second information base, and obtaining target data under the data type associated with the target evaluation object from the operation data related to the circulation process of the commodity object in the target entity store.

After the second server side obtains the data processing request submitted by the second client side, a target evaluation object corresponding to the commodity object in the target entity shop associated with the second client side can be determined, and then the abnormal evaluation is carried out on the circulation process of the commodity object according to the data type information corresponding to the target evaluation object and the abnormal evaluation mode information.

Specifically, the second server may obtain target data to be evaluated from job data of the target entity store according to the data type information corresponding to the target evaluation object. As an example, the second server may provide a plurality of data interfaces, each of which may correspond to a type of operating system, and the operating system is configured to store operation data generated during the commodity object circulation process. In one mode, the operating system can submit the operating data generated by the operating system to the second server for storage through the corresponding interface, so that the second server can read the target data from the local area when data processing is needed. Or, in another mode, the second server may extract the target data from the corresponding operating system through the interface when data processing is required.

S204: and obtaining the evaluation result information corresponding to each commodity object according to the target data and the abnormal evaluation mode information corresponding to the target evaluation object, and sending the evaluation result information to the second client.

In the following, the implementation process of obtaining the evaluation result information corresponding to the commodity object is explained in conjunction with the above example.

The second server may obtain, through the order operation system, that the automatic order quantity associated with the live action crabs in the physical store 1 is 200 orders, and the actual order quantity is 150 orders, that is, the automatic order taking rate is 150/200=75%, and according to the abnormality evaluation mode information corresponding to the automatic order taking rate, the following evaluation result information may be obtained: the status of the automatic order acceptance rate of hairy crabs was abnormal and the evaluation value was 75%.

The second server can obtain the operation duration of the task on shelf related to the live fresh water crabs in the entity shop 1 through the warehousing operation system, and if the operation duration is 20 minutes, the following evaluation result information can be obtained according to the abnormal evaluation mode information corresponding to the aging on shelf: the aging state of the live fresh water crabs on the shelf was normal, and the evaluation value was 20 minutes.

That is, for a data processing request submitted by the store master of the physical store 1, the second server may return the following information for the live crabs: the state of the automatic order acceptance rate is abnormal, and the state of the time effect of putting on the shelf is normal. Preferably, the evaluation result information may further include evaluation values corresponding to the respective evaluation objects.

Preferably, if the target evaluation object is associated with at least two abnormal evaluation mode information, and each abnormal evaluation mode information corresponds to state information with different influence factors, the current target state information of the influence factors can be obtained, and the target abnormal evaluation mode information for evaluation and analysis is determined according to the current target state information.

Next, a process of determining the target abnormality evaluation manner information based on the influence factor is explained by taking the performance time as an example.

If the influence factor is weather information, and the abnormality evaluation mode information related to the performance time efficiency is as follows: when the state information is that the weather is normal, the abnormal evaluation mode information corresponding to the performance timeliness is that the performance is performed for 30 minutes; and when the state information is abnormal weather, the abnormal evaluation mode information corresponding to the performance timeliness is 50 minutes of performance. When the second server performs evaluation processing, the real-time weather information of the place where the target entity shop is located, that is, the current target state information of the influence factor, can be obtained, and if the weather information indicates that the weather is normal, abnormal evaluation can be performed according to 30-minute fulfillment; if the weather information indicates weather anomalies, then an anomaly assessment may be made based on a 50 minute performance agreement.

If the influence factor is road condition information and the abnormal evaluation mode information related to the performance timeliness is as follows: when the state information is that the road condition is normal, the abnormal evaluation mode information corresponding to the performance timeliness is that the performance is performed in 30 minutes; and when the state information is abnormal road conditions, the abnormal evaluation mode information corresponding to the performance timeliness is 50 minutes of performance. The second server may determine the target abnormality evaluation mode information corresponding to the performance timeliness according to the road condition of the distribution path. For example, when the traffic information indicates abnormal traffic (e.g., traffic control on distribution routes), the abnormal evaluation may be performed according to 50 minutes of performance.

If the influence factor is job processing capacity information and the abnormality evaluation mode information related to the performance time efficiency is as follows: when the state information is that the operation capacity is strong, the abnormal evaluation mode information corresponding to the performance timeliness is that the performance is performed in 30 minutes; and when the state information is weak in operation capacity, the abnormal evaluation mode information corresponding to the performance timeliness is 50 minutes of performance. The second server may determine, according to the delivery job capability, target abnormality evaluation manner information corresponding to the performance timeliness. For example, when the number of operators at distribution stations associated with a store is small, abnormality evaluation may be performed based on 50-minute performance.

If the influence factor is the change information of the class characteristics of the commodity object and the abnormal evaluation mode information related to the performance timeliness is as follows: the state information is high-temperature season (or high temperature), and the abnormal evaluation mode information corresponding to the performance timeliness is 30-minute performance; the state information is the low-temperature season (or the temperature is low), and the abnormality evaluation mode information corresponding to the performance timeliness is 50 minutes of performance. The second server may determine the target abnormality evaluation manner information corresponding to the performance timeliness according to the seasonal information (or the temperature information). For example, an anomaly assessment may be made on a 30 minute performance basis during the summer.

S205: and determining a display area where the business domain associated with the target evaluation object is located, and displaying the evaluation result information of the target evaluation object and the corresponding commodity object in the display area.

In the embodiment of the application, the business domain is mainly divided according to important links in the circulation process of the commodity object. For example, the following traffic domains may be partitioned: the system comprises an ordering business domain, a receiving and returning business domain, a store and storage business domain, a front field operation business domain and a fulfillment and delivery business domain. The service domains associated with the evaluation objects of various types can be predetermined, so that the second client can display the evaluation result information in the service domain associated with the evaluation object after obtaining the evaluation result information issued by the second server. Taking the automatic order taking rate as an example, the evaluation object can be associated to an order operation domain; taking shelf aging as an example, the evaluation object may be associated with a receiving and returning business domain. The dividing mode of the service domains, the number of the service domains and the types of the evaluation objects associated with the service domains can be determined by combining actual application requirements.

Specifically, after obtaining the evaluation result information issued by the second server, the second client may determine a display area where the service domain associated with the evaluation object is located, and then display the evaluation object and the evaluation result information of the corresponding commodity object in the display area. Therefore, the operator can determine which commodity objects in the circulation link are abnormal, specifically which link is abnormal, and what specific abnormal information is.

In the actual application process, the second client can display information through multiple implementation modes. For example, in one mode, only the service domain and the evaluation result information associated with the evaluation object that meets the preset condition may be displayed, and the related information of other evaluation objects that do not meet the preset condition may be hidden. Preferably, for the hidden evaluation object, an operation option for information viewing may be provided, that is, the user may adjust the information related to the hidden evaluation object to the display state through the operation option.

The evaluation object meeting the preset condition may be an evaluation object in an abnormal state. As shown in fig. 4, an operator can only check the related information of the evaluation object with the abnormality, find the abnormality in time, and quickly process the abnormality. Alternatively, the evaluation object meeting the preset condition may be an evaluation object specified by a user associated with the second client. Namely, the operator can specify the evaluation object focused on by combining with the actual supervision requirements of the shop, and the second client can perform information display on the specified evaluation object.

Or, in another mode, in order to facilitate an operator to perform global check on the distribution and proportion of the evaluation objects with the abnormality, the second client may display the service domains and evaluation result information associated with all the evaluation objects, and mark the evaluation objects in different states in different modes. For example, the evaluation object in the normal state may be indicated by a green symbol, and the evaluation object in the abnormal state may be indicated by a red symbol.

The state of the evaluation object can be divided into a normal state and an abnormal state; alternatively, the evaluation method can be divided into a normal state, an early warning state and an abnormal state, that is, when the evaluation method changes from the normal state, the early warning can be given to the operator to remind the operator to pay attention to the evaluation object, so as to prevent the evaluation object from further deteriorating into the abnormal state. Wherein, for the evaluation object of the early warning state, the evaluation object can be marked by a yellow symbol.

In addition, the display position of the evaluation object with the abnormality can be adjusted. For example, the evaluation object of the abnormal state may be set to the top, so that the operator can notice the abnormality in time.

In addition, the method and the device can also realize the quick positioning of the abnormal evaluation object. Specifically, after the operator selects an evaluation object to be checked from the evaluation objects in the abnormal state, the second client may submit the identification information of the selected evaluation object to be checked to the second server, so that the second server issues the job data related to the evaluation object to the second client for display. For example, the automatic order taking rate is determined as the evaluation object to be viewed, the second server may send the job data of all commodity objects with abnormal automatic order taking rate to the second client, and for the example illustrated in fig. 4, the store manager of the store 1 may view the automatic order amount and the actual order amount of the live crabs.

Preferably, for an evaluation object in an abnormal state, the second client may correct the evaluation result information in combination with the actual situation. For example, in the above-mentioned example, since the price of the live action crabs obviously rises, the actual order quantity of the live action crabs is reduced, which causes the automatic order taking rate to be abnormal, the "automatic order taking rate" may be determined as the evaluation object to be adjusted, and the status information of the automatic order taking rate may be adjusted to the normal status and submitted to the second server. It can be understood that, if the second client needs to submit the evaluation result information of the target entity store to the first service end for the first service end to count the abnormal frequency information, and after the state correction, the adjusted state information corresponding to the evaluation object to be adjusted can be submitted to the first service end.

Preferably, when the state information is corrected, the abnormal reason information corresponding to the evaluation object to be adjusted can be obtained and submitted to the second server for explaining the reason that the evaluation object to be adjusted is abnormal. In the above example, the abnormality cause information may be "hairy crab price up may affect sales volume and order quantity down 50". Thus, the second server can update the automatic order taking rate of the physical store 1 to a normal state.

Preferably, the operator can request to check the evaluation results of a specific commodity object in addition to checking the evaluation results of all the commodity objects in the store in the manner shown in fig. 4, so that the operator can visually know the circulation condition of the commodity object. Specifically, the second client may provide selectable commodity object information through the target interface, and display the evaluation object associated with the target commodity object and the corresponding evaluation result information in the display area of each business domain under the condition that the target commodity object is selected.

Taking the hairy crab as an example, after the store keeper of the store 1 determines the hairy crab as a target commodity object, the second client can determine the evaluation object and the evaluation result corresponding to the hairy crab according to the evaluation result information returned by the second server, and then display the corresponding evaluation result information in the display area where the business domain associated with the evaluation object is located, so as to obtain the schematic diagram shown in fig. 5.

In addition, it should be noted that, in an actual application process, one commodity object may be associated with at least two provider users, and when performing an abnormal evaluation on the circulation process of the commodity object, the commodity object may be used as a basic unit, or the commodity object and the associated provider may be used as a basic unit. The following examples are given.

Taking a steamed crab in the physical store 1 as an example, if there are two provider users of the steamed crab: the method comprises the steps that a provider 1 and a provider 2 can perform data summarization on operation data of live fresh water crabs delivered to an entity shop 1 by the 2 providers, and then the circulation process of the live fresh water crabs is evaluated and analyzed to obtain evaluation results corresponding to the live fresh water crabs. Or, the circulation process may be evaluated and analyzed according to the job data of the live crabs distributed to the entity store 1 by the provider 1 and the job data of the live crabs distributed to the entity store 1 by the provider 2, so as to obtain evaluation results corresponding to the live crabs distributed by the provider 1 and evaluation results corresponding to the live crabs distributed by the provider 2. Therefore, an operator can compare the evaluation result information of the live fresh water crabs delivered by the two providers, determine the difference point, optimize the circulation process according to the difference point, and take the evaluation result information as the basis for selecting the providers. Preferably, the evaluation result information can also be sent to the corresponding provider, so that the provider can determine an optimizable point, the circulation process of the commodity object can be optimized from the entity shop and the provider, and the abnormality occurring in the circulation process can be solved.

The data processing scheme provided by the embodiment of the application can be applied to entity shops opened by new retail service providers and can also be applied to other entity shops with data processing requirements (which can be called as third party shops). The following explains a specific implementation process with reference to a flowchart shown in fig. 6.

Example 3

S301: the first server obtains a first information base, and at least one piece of abnormal evaluation mode information related to an evaluation object related to the commodity object circulation process is stored in the first information base.

S302: and acquiring a data processing request submitted by a third server, wherein the data processing request comprises identification information of a third-party shop associated with the third server.

S303: and determining target abnormality evaluation information associated with the commodity objects in the third-party shop from the first information base, and sending the target abnormality evaluation information to the second server.

In this embodiment, for a third-party store that needs data processing, a data processing request may be submitted to the first server through the associated third server, so that the first server performs evaluation information configuration for the third-party store.

Specifically, the first server may determine target abnormality evaluation information for the third-party store in a default configuration manner as described in embodiment 1 above; or, the identification information of the evaluation object related to the commodity object circulation process can be issued to a third server, and then forwarded to a fourth client associated with the third-party store through the third server, and a user associated with the fourth client determines the target evaluation object according to the actual use requirement of the third-party store, so that personalized customized configuration is realized.

In this embodiment, the target evaluation object may be determined in various ways, which will be described below as an example.

In one mode, the target evaluation object can be determined by using the business domain as a basic unit. For example, a circulation link in which the third party store lacks processing capability or a circulation link in which the processing capability is weak, and an evaluation object associated with the corresponding business domain are determined as target evaluation objects.

Taking a circulation link lacking processing capacity as an example, if the entity shop 2 is not configured with an ordering operation system, but adopts a manual purchasing mode to perform ordering and receiving management, which causes frequent errors in the ordering link, an evaluation object related to an ordering business domain can be determined as a target evaluation object, a second service end is requested to perform abnormal supervision on the circulation link, determine that ordering and receiving are abnormal, and provide an abnormal solution.

Taking a circulation link with weak processing capability as an example, if the physical store 3 has problems of processing delay of non-saleable commodities (for example, current commodities, temporary commodities, returned commodities, and the like) and serious commodity loss in spite of configuring a full-link operating system for the commodity object circulation process, the evaluation objects related to the store storage business domain and the front work business domain can be determined as target evaluation objects, a second service end is requested to perform exception supervision on the circulation link related to storage and sales, an exception point is determined, and an exception solution is provided.

Or, in another mode, the evaluation object may determine a target evaluation object for the base unit, that is, a part of the evaluation objects associated with the business domain may be selected as a target evaluation object focused by the third-party store.

S304: and obtaining the operation data associated with the third-party shop and submitted by the third server, and determining target data in the data type corresponding to the target evaluation object.

S305: and obtaining evaluation result information corresponding to each commodity object according to the target data and the abnormal evaluation mode information corresponding to the target evaluation object, issuing the evaluation result information to the third server, and forwarding the evaluation result information to the fourth client for display through the third server.

In this embodiment, the job data associated with the third party store may be obtained in various ways, which will be described below as an example.

For a third party store lacking an associated operating system, the third server may request that the user associated with the fourth client provide corresponding data. Taking the entity store 2 as an example, the second server may issue a query request to the third server, where the query request may include data type information required for evaluating and analyzing a target evaluation object corresponding to the ordering business domain, and the third server may issue the data type information to the fourth client, and a user associated with the fourth client provides corresponding job data and submits the job data to the second server via the third server.

For a third-party shop configured with a relevant operating system, the third server can extract corresponding data from the operating system. Taking the physical store 3 as an example, the second server may issue an inquiry request to the third server, where the inquiry request may include data type information required for evaluating and analyzing a target evaluation object corresponding to the store business domain and the front field work business domain, and the third server may extract corresponding job data from the warehousing operation system and the sales operation system according to the data type information, and submit the job data to the second server.

It can be understood that, if the operating system configured by the third-party store is matched with the operating system supported by the second server, that is, the two operating systems are the same in data type dividing mode and the fields defined by the data types are also the same, after the third server obtains the query request issued by the second server, the third server can directly extract the corresponding operating data according to the type information included in the request.

If the operating system configured by the third-party store does not match the operating system supported by the second server, the association and conversion of the data types can be performed between the second server and the third server in advance, and the second server can be ensured to correctly obtain the operating data of the entity store associated with the third server.

In one mode, the second server may store the corresponding relationship between the data types of the second server and the third server. Therefore, when the second server sends the query request to the third server, the first data type required by the evaluation and analysis of the second server can be converted into the second data type which can be recognized by the third server according to the corresponding relation.

Or, in another mode, if the second server provides data processing services for a plurality of third-party stores, in order to reduce the data maintenance amount of the second server, the third server associated with each third-party store may store the corresponding relationship between the data type of the third server and the data type of the second server. Specifically, the third server may obtain first data type information, which is sent by the second server and is required for evaluating and analyzing the evaluation object, and match the first data type information with the second data type of the third server to obtain a corresponding relationship between the first data type and the second data type. Therefore, after the third server obtains the query request issued by the second server, the first data type included in the request can be converted into the corresponding second data type according to the corresponding relation, and then the operation data under the second data type is extracted from the operation system and submitted to the second server.

The exception evaluation process of the second server, the information display scheme of the fourth client, the corresponding exception handling manner, and the like, may be introduced with reference to the above embodiments, and are not illustrated here.

Example 4

Embodiment 4 is a method corresponding to embodiment 1, and from the perspective of the first service end, a method for obtaining the abnormality assessment information is provided, and referring to fig. 7, the method may specifically include:

s401: a first server side obtains a first information base, wherein at least one abnormal evaluation mode information related to an evaluation object related to a commodity object circulation process is stored in the first information base;

s402: if the identification information of the target entity store submitted by the first client is obtained, determining target abnormity evaluation information related to the commodity object in the target entity store from the first information base, wherein the target abnormity evaluation information comprises the identification information of the target evaluation object and corresponding target abnormity evaluation mode information;

s403: and sending the target abnormity evaluation information to a second server, so that the second server evaluates and analyzes the circulation process of the commodity objects in the target entity store according to the target abnormity evaluation information, and obtains evaluation result information corresponding to each commodity object and sends the evaluation result information to a second client.

Example 5

Embodiment 5 is a method corresponding to embodiment 1, and from the perspective of a third client, there is provided a method for obtaining abnormality assessment information, which may specifically include, referring to fig. 8:

s501: the third client provides operation options for submitting abnormality evaluation information, wherein the abnormality evaluation information comprises identification information of an evaluation object and corresponding abnormality evaluation mode information;

s502: and after obtaining the abnormal evaluation information through the operation options, submitting the abnormal evaluation information to a first service end so that the first service end can be stored in a first information base, and after obtaining the identification information of the target entity shop submitted by a first client, determining the target abnormal evaluation information associated with the target entity shop from the first information base.

Example 6

Embodiment 6 is a data processing method corresponding to embodiment 2, and from the perspective of the second server, a commodity object circulation process is provided, and referring to fig. 9, the method may specifically include:

s601: a second server obtains a second information base, wherein identification information of an evaluation object associated with commodity objects in different entity shops, data type information and abnormal evaluation mode information required by evaluation analysis of the evaluation object are stored in the second information base, and the evaluation object associated with the commodity object and the corresponding abnormal evaluation mode information are determined by the first server;

s602: if a data processing request submitted by a second client associated with a target entity store is obtained, determining a target evaluation object associated with the commodity object in the target entity store from the second information base;

s603: obtaining target data under a data type corresponding to the target evaluation object from operation data related to a circulation process of the commodity object in the target entity shop;

s604: and obtaining evaluation result information corresponding to each commodity object according to the target data and the abnormal evaluation mode information corresponding to the target evaluation object, and sending the evaluation result information to the second client.

Example 7

Embodiment 7 is a method corresponding to embodiment 2, and from the perspective of the second client, provides a data processing method for a commodity object circulation process, and with reference to fig. 10, the method may specifically include:

s701: a second client associated with the entity shop submits a data processing request to a second server;

s702: obtaining evaluation result information corresponding to the commodity object in the entity shop issued by the second server, wherein the evaluation result information is determined by the second server according to the abnormal evaluation information associated with the commodity object, and the abnormal evaluation information comprises an evaluation object determined by the first server and corresponding abnormal evaluation mode information;

s703: and determining a display area where the business domain associated with the evaluation object is located, and displaying the evaluation object and the evaluation result information of the corresponding commodity object in the display area.

Example 8

Embodiment 8 is a method corresponding to embodiment 3, and from the perspective of the first service end, there is provided a method for obtaining abnormality assessment information, referring to fig. 11, where the method may specifically include:

s801: a first server side obtains a first information base, wherein at least one abnormal evaluation mode information related to an evaluation object related to a commodity object circulation process is stored in the first information base;

s802: acquiring a data processing request submitted by a third server, wherein the data processing request comprises identification information of a third-party shop related to the third server;

s803: determining target abnormality evaluation information associated with the commodity objects in the third-party shops from the first information base, wherein the target abnormality evaluation information comprises identification information of target evaluation objects and corresponding target abnormality evaluation mode information;

s804: and sending the target abnormity evaluation information to a second server so that the second server can evaluate and analyze the circulation process of the commodity objects in the third-party shop according to the target abnormity evaluation information to obtain evaluation result information corresponding to each commodity object and send the evaluation result information to the third server.

Example 9

Embodiment 9 is a data processing method corresponding to embodiment 3, and from the perspective of the second server, a commodity object circulation process is provided, and referring to fig. 12, the method may specifically include:

s901: the method comprises the steps that a second server side obtains identification information of an evaluation object related to a commodity object in a third-party shop, data type information and abnormal evaluation mode information which are needed for evaluation and analysis of the evaluation object are obtained, and the evaluation object related to the commodity object and the corresponding abnormal evaluation mode information are determined by a first server side;

s902: if the job data associated with the third-party shop and submitted by a third server is obtained, determining target data in a data type corresponding to the evaluation object from the job data;

s903: and obtaining evaluation result information corresponding to each commodity object according to the target data and the abnormal evaluation mode information corresponding to the evaluation object, and sending the evaluation result information to the third server.

For the parts not described in detail in embodiments 4 to 9, reference may be made to the descriptions in the embodiments, which are not repeated herein.

Corresponding to embodiment 1, an embodiment of the present application further provides an apparatus for obtaining abnormality evaluation information, referring to fig. 13, where the apparatus is applied to a first service end, and includes:

an information base obtaining unit 1001 configured to obtain a first information base in which at least one piece of abnormality evaluation manner information associated with an evaluation object related to a commodity object circulation process is stored;

an anomaly evaluation information determining unit 1002, configured to determine, when obtaining identification information of a target entity store submitted by a first client, target anomaly evaluation information associated with a commodity object in the target entity store from the first information base, where the target anomaly evaluation information includes identification information of the target evaluation object and corresponding target anomaly evaluation mode information;

an anomaly evaluation information sending unit 1003, configured to send the target anomaly evaluation information to a second server, so that the second server performs evaluation analysis on the circulation process of the commodity objects in the target entity store according to the target anomaly evaluation information, and obtains evaluation result information corresponding to each commodity object, and sends the evaluation result information to a second client.

The abnormality evaluation information determination unit is specifically configured to:

and if the target abnormal evaluation information is determined by taking the entity shop as a basic unit, determining a default configured evaluation object and corresponding abnormal evaluation mode information as the target abnormal evaluation information.

and if the target abnormal evaluation information is determined by taking the commodity object as a basic unit, acquiring the commodity object associated with the target entity shop, and determining the evaluation object configured by default under each commodity object and the corresponding abnormal evaluation mode information as the target abnormal evaluation information.

The abnormality evaluation information determining unit is specifically configured to:

the identification information of the evaluation object related to the commodity object circulation process is issued to the first client, so that a user associated with the first client can determine the target evaluation object from the identification information;

and obtaining identification information of the target evaluation object submitted by the first client, and determining the target evaluation object and corresponding default configuration abnormal evaluation mode information as the target abnormal evaluation information.

Wherein the apparatus further comprises:

and the updating processing unit is used for updating the target abnormity evaluation information when the evaluation demand of the commodity object in the target entity shop changes, and sending the updated target abnormity evaluation information to the second server.

Wherein the evaluation requirement changes into the association relationship between the target entity shop and the target commodity object,

the update processing unit is specifically configured to: obtaining the change mode information of the incidence relation between the target entity shop and the target commodity object submitted by the second client; and updating the target evaluation object associated with the target commodity object and the corresponding target abnormal evaluation mode information according to the change mode information.

Wherein the change mode information is to release the association relationship between the target entity shop and the target commodity object,

the update processing unit is specifically configured to: and deleting the target evaluation object associated with the target commodity object and the corresponding target abnormality evaluation mode information from the target abnormality evaluation information.

Wherein the change mode information is to establish an association relationship between the target entity shop and the target commodity object,

the update processing unit is specifically configured to: and determining an evaluation object associated with the target commodity object and corresponding abnormal evaluation mode information from the first information base, and adding the evaluation object and the corresponding abnormal evaluation mode information into the target abnormal evaluation information.

The update processing unit is specifically configured to: carrying out statistical analysis on the evaluation result information of the target entity shop to obtain abnormal frequency information corresponding to each commodity object; determining the commodity object with the abnormal frequency exceeding the preset frequency as a target commodity object, and generating prompt information for releasing the association relation and sending the prompt information to the second client; and if the confirmation information which is returned by the second client and used for releasing the association relationship between the target entity shop and the target commodity object is obtained, deleting the target evaluation object associated with the commodity object to be updated and the corresponding target abnormality evaluation mode information from the target abnormality evaluation information.

Wherein the apparatus further comprises:

an association relationship establishing unit, configured to, when obtaining confirmation information that is returned by the second client and that retains an association relationship between the target entity store and the target commodity object, obtain operation reason information that is submitted by the second client for the operation; and establishing an association relation between the target commodity object and the operation reason information so as to determine whether to issue the prompt information to the second client according to the operation reason information when the abnormal frequency corresponding to the target commodity object exceeds the preset frequency again.

The incidence relation establishing unit is further configured to determine an action range corresponding to the operation reason information, and establish an incidence relation between the operation reason information and the commodity objects within the action range, so that when the abnormal frequency corresponding to the commodity objects within the action range exceeds the preset frequency, whether prompt information is issued to the second client is determined according to the operation reason information.

The update processing unit is specifically configured to: determining a target commodity object according to the historical evaluation result information and the historical transaction information of the commodity object, generating prompt information for establishing a new association relationship, and sending the prompt information to the second client; and if the confirmation information of the association relationship between the newly-built target entity shop and the target commodity object returned by the second client is obtained, determining an evaluation object associated with the target commodity object and corresponding abnormal evaluation mode information from the first information base, and adding the evaluation object and the corresponding abnormal evaluation mode information to the target abnormal evaluation information.

Wherein the evaluation requirement changes as target anomaly evaluation mode information associated with the target commodity object changes,

the update processing unit is specifically configured to: acquiring an updating request submitted by the second client, wherein the updating request comprises identification information of the target commodity object, identification information of a target evaluation object to be updated and corresponding new abnormal evaluation mode information; and updating the target abnormal evaluation information associated with the target commodity object according to the updating request.

Wherein the apparatus further comprises:

and the dynamic adjusting unit is used for dynamically adjusting the target abnormity evaluation information according to a preset period and sending the adjusted target abnormity evaluation information to the second server.

Wherein, the dynamic adjustment unit is specifically configured to:

obtaining access frequency information of the user associated with the second client on the evaluation result of the target evaluation object in the preset period;

and determining a target evaluation object to be processed with access times lower than preset times, and deleting the target evaluation object to be processed and corresponding target abnormality evaluation mode information from the target abnormality evaluation information.

Wherein, the dynamic adjustment unit is specifically configured to:

performing statistical analysis on the evaluation result information in the preset period to obtain abnormal frequency information of the target evaluation object in an abnormal state;

and determining a target evaluation object to be processed with an abnormal frequency lower than a preset frequency, and deleting the target evaluation object to be processed and corresponding target abnormal evaluation mode information from the target abnormal evaluation information.

Wherein, the dynamic adjustment unit is specifically configured to:

obtaining an evaluation object in the first information base and a weight value associated with corresponding abnormal evaluation mode information, abnormal frequency information of the evaluation object and the corresponding abnormal evaluation mode information in the preset period, and access frequency information of a user associated with the second client to an evaluation result of the evaluation object in the preset period;

determining a rating value of an evaluation object and corresponding abnormal evaluation mode information according to the weight value, the abnormal frequency information and the access frequency information;

and determining the evaluation object with high grade value and the corresponding abnormal evaluation mode information as the adjusted target abnormal evaluation information.

Corresponding to embodiment 1, an embodiment of the present application further provides an apparatus for obtaining abnormality assessment information, referring to fig. 14, where the apparatus is applied to a third client, and includes:

an operation option providing unit 1101 configured to provide an operation option for submitting abnormality evaluation information, where the abnormality evaluation information includes identification information of an evaluation object and corresponding abnormality evaluation mode information;

an anomaly evaluation information submitting unit 1102, configured to submit the anomaly evaluation information obtained through the operation option to the first service end so that the first service end stores the anomaly evaluation information in a first information base, and determine target anomaly evaluation information associated with the target entity store from the first information base after obtaining the identification information of the target entity store submitted by the first client.

Wherein the apparatus further comprises:

and the weight value submitting unit is used for obtaining the weight value associated with the abnormality evaluation information and submitting the weight value to the first service end.

Wherein the apparatus further comprises:

and the influence factor submitting unit is used for obtaining the influence factors related to the evaluation object and the abnormal evaluation mode information corresponding to the evaluation object under different state information of the influence factors, and submitting the information to the first service end.

Corresponding to embodiment 2, an embodiment of the present application further provides a data processing apparatus for a commodity object circulation process, and referring to fig. 15, the apparatus is applied to a second server, and includes:

an information base obtaining unit 1201, configured to obtain a second information base, where identification information of an evaluation object associated with a commodity object in different entity stores and data type information and abnormality evaluation manner information required for evaluation and analysis of the evaluation object are stored in the second information base, and the evaluation object associated with the commodity object and the corresponding abnormality evaluation manner information are determined by a first service end;

an evaluation object determination unit 1202 configured to determine, from the second information base, a target evaluation object associated with the commodity object in the target physical store when a data processing request submitted by a second client associated with the target physical store is obtained;

a target data obtaining unit 1203, configured to obtain target data in a data type corresponding to the target evaluation object from operation data related to a circulation process of the commodity object in the target entity store;

an evaluation result information obtaining unit 1204, configured to obtain, according to the target data and the abnormal evaluation mode information corresponding to the target evaluation object, evaluation result information corresponding to each commodity object, and send the evaluation result information to the second client.

Wherein, if the merchandise object is associated with at least two provider users,

the target data obtaining unit is specifically configured to: the method comprises the steps of taking a commodity object and a corresponding provider user as basic units, obtaining operation data generated by the commodity object in a circulation process, and obtaining target data required for evaluating and analyzing the circulation process of the commodity object from the operation data.

Wherein, if the target evaluation object is associated with at least two abnormal evaluation mode information, and each abnormal evaluation mode information respectively corresponds to the state information with different influence factors,

the device further comprises:

and the target abnormality evaluation mode information determining unit is used for determining target abnormality evaluation mode information from the at least two pieces of abnormality evaluation mode information according to the current target state information of the influence factors so as to obtain the evaluation result information according to the target data and the target abnormality evaluation mode information.

Wherein the apparatus further comprises:

and the evaluation result information submitting unit is used for submitting the evaluation result information to the first service end so that the first service end can dynamically adjust the evaluation object associated with the commodity object in the target entity shop and the corresponding abnormal evaluation mode information according to the evaluation result information.

Corresponding to embodiment 2, the present application further provides a data processing apparatus for a commodity object circulation process, referring to fig. 16, the apparatus is applied to a second client associated with a physical store, and includes:

a data processing request submitting unit 1301, configured to submit a data processing request to a second server;

an evaluation result information obtaining unit 1302, configured to obtain evaluation result information corresponding to a commodity object in an entity store issued by the second server, where the evaluation result information is determined by the second server according to abnormality evaluation information associated with the commodity object, and the abnormality evaluation information includes an evaluation object determined by the first server and corresponding abnormality evaluation mode information;

and the evaluation result information display unit 1303 is configured to determine a display area where the business domain associated with the evaluation object is located, and display the evaluation result information of the evaluation object and the corresponding commodity object in the display area.

The evaluation result information display unit is specifically configured to: and displaying the relevant information of the evaluation object meeting the preset conditions.

And the evaluation object meeting the preset condition is an evaluation object in an abnormal state.

And the evaluation object meeting the preset condition is an evaluation object appointed by a user associated with the second client.

Wherein the apparatus further comprises:

and the commodity object evaluation result display unit is used for providing selectable commodity object information through a target interface, and displaying the evaluation object related to the target commodity object and the corresponding evaluation result information in the display area of each business domain under the condition that the target commodity object is selected.

Wherein the apparatus further comprises:

and the evaluation result information submitting unit is used for submitting the evaluation result information to the first service end so that the first service end can dynamically adjust the abnormal evaluation information related to the commodity object in the entity shop according to the evaluation result information.

Wherein the apparatus further comprises:

and the visit frequency information submitting unit is used for obtaining visit frequency information of the evaluation result of the user associated with the second client to the evaluation object and submitting the visit frequency information to the first service end, so that the first service end can dynamically adjust the abnormal evaluation information associated with the commodity object in the entity shop according to the visit frequency information.

Wherein the apparatus further comprises:

a prompt information obtaining unit, configured to obtain prompt information issued by the first server for a target commodity object, where the prompt information includes information about a change mode of an association relationship between the target entity store and the target commodity object;

and the confirmation information submitting unit is used for submitting the confirmation information for accepting the change of the association relationship to the first server, so that the first server updates the target abnormal evaluation information according to the change mode information.

Wherein the apparatus further comprises:

an operation reason information submitting unit, configured to obtain optional operation reason information issued by the first server; and when obtaining the confirmation information for rejecting the change of the association relationship, the optional operation reason information is displayed, and the selected target operation reason information is submitted to the first service end.

Wherein the apparatus further comprises:

an operation reason information submitting unit, configured to provide an operation option for submitting operation reason information corresponding to the operation when obtaining confirmation information that the association relation change is rejected from being submitted to the first service end; and after the operation reason information is obtained through the operation options, submitting the operation reason information to the first service end.

Wherein the apparatus further comprises:

and the abnormal reason information submitting unit is used for determining an evaluation object to be adjusted from the evaluation objects in abnormal states, adjusting the state information of the evaluation object to be adjusted to be in a normal state, acquiring abnormal reason information corresponding to the evaluation object to be adjusted, and submitting the abnormal reason information to the second server.

Corresponding to embodiment 3, an embodiment of the present application further provides an apparatus for obtaining abnormality evaluation information, referring to fig. 17, where the apparatus is applied to a first service end, and includes:

an information base obtaining unit 1401 configured to obtain a first information base in which at least one abnormality evaluation manner information associated with an evaluation object related to a commodity object circulation process is stored;

a data processing request obtaining unit 1402, configured to obtain a data processing request submitted by a third server, where the data processing request includes identification information of a third-party store associated with the third server;

an abnormality evaluation information determination unit 1403, configured to determine, from the first information base, target abnormality evaluation information associated with the commodity object in the third-party store, where the target abnormality evaluation information includes identification information of the target evaluation object and corresponding target abnormality evaluation manner information;

an anomaly evaluation information sending unit 1404, configured to send the target anomaly evaluation information to a second server, so that the second server performs evaluation analysis on the circulation process of the commodity objects in the third-party store according to the target anomaly evaluation information, and obtains evaluation result information corresponding to each commodity object, and sends the evaluation result information to the third server.

Corresponding to embodiment 3, an embodiment of the present application further provides a data processing apparatus for a commodity object circulation process, and referring to fig. 18, the apparatus is applied to a second server, and includes:

an anomaly evaluation information obtaining unit 1501, configured to obtain identification information of an evaluation object associated with a commodity object in a third-party store, and data type information and anomaly evaluation mode information required for evaluation and analysis of the evaluation object, where the evaluation object associated with the commodity object and the corresponding anomaly evaluation mode information are determined by a first service end;

a target data obtaining unit 1502, configured to determine target data in a data type corresponding to the evaluation object from the job data associated with the third-party store submitted by a third server;

an evaluation result information obtaining unit 1503, configured to obtain, according to the target data and the abnormal evaluation mode information corresponding to the evaluation object, evaluation result information corresponding to each commodity object, and send the evaluation result information to the third server.

In addition, an embodiment of the present application further provides an electronic device, including:

one or more processors; and

acquiring a first information base, wherein at least one abnormal evaluation mode information associated with an evaluation object related to a commodity object circulation process is stored in the first information base;

and sending the target abnormity evaluation information to a second server, so that the second server evaluates and analyzes the circulation process of the commodity objects in the target entity store according to the target abnormity evaluation information, and obtains evaluation result information corresponding to each commodity object and sends the evaluation result information to a second client.

And an electronic device comprising:

one or more processors; and

And an electronic device comprising:

one or more processors; and

And an electronic device comprising:

one or more processors; and

submitting a data processing request to a second server;

obtaining evaluation result information corresponding to a commodity object in an entity shop issued by the second server, wherein the evaluation result information is determined by the second server according to abnormality evaluation information associated with the commodity object, and the abnormality evaluation information comprises an evaluation object determined by the first server and corresponding abnormality evaluation mode information;

And an electronic device comprising:

one or more processors; and

And an electronic device comprising:

one or more processors; and

the method comprises the steps of obtaining identification information of an evaluation object related to a commodity object in a third-party shop, and data type information and abnormal evaluation mode information which are needed by evaluation analysis of the evaluation object, wherein the evaluation object related to the commodity object and the corresponding abnormal evaluation mode information are determined by a first service terminal;

Fig. 19 illustrates an architecture of a computer system, which may include, in particular, a processor 1610, a video display adapter 1611, a disk drive 1612, an input/output interface 1613, a network interface 1614, and a memory 1620. The processor 1610, video display adapter 1611, disk drive 1612, input/output interface 1613, and network interface 1614, as described above, and the memory 1620 may be communicatively coupled via a communication bus 1630.

The processor 1610 may be implemented by a general-purpose CPU (Central Processing Unit), a microprocessor, an Application Specific Integrated Circuit (ASIC), or one or more Integrated circuits, and is configured to execute a relevant program to implement the technical solution provided in the present Application.

The Memory 1620 may be implemented in the form of a ROM (Read Only Memory), a RAM (Random Access Memory), a static storage device, a dynamic storage device, or the like. Memory 1620 may store an operating system 1621 for controlling the operation of computer system 1600, and a Basic Input Output System (BIOS) for controlling low-level operations of computer system 1600. In addition, a web browser 1623, a data storage management system 1624, and a system for obtaining abnormality evaluation information 1625, and the like may also be stored. The data processing system 1625 may be a first server that implements the operations of the foregoing steps in this embodiment. In summary, when the technical solution provided in the present application is implemented by software or firmware, the relevant program code is stored in the memory 1620 and called to be executed by the processor 1610.

The input/output interface 1613 is used for connecting an input/output module to input and output information. The i/o module may be configured as a component in a device (not shown) or may be external to the device to provide a corresponding function. The input devices may include a keyboard, a mouse, a touch screen, a microphone, various sensors, etc., and the output devices may include a display, a speaker, a vibrator, an indicator light, etc.

The network interface 1614 is used for connecting a communication module (not shown in the figure) to implement communication interaction between the present apparatus and other apparatuses. The communication module can realize communication in a wired mode (for example, USB, network cable, etc.), and can also realize communication in a wireless mode (for example, mobile network, WIFI, bluetooth, etc.).

The bus 1630 includes a path that transfers information between various components of the device, such as the processor 1610, the video display adapter 1611, the disk drive 1612, the input/output interface 1613, the network interface 1614, and the memory 1620.

It should be noted that although the above devices only show the processor 1610, the video display adapter 1611, the disk drive 1612, the input/output interface 1613, the network interface 1614, the memory 1620, the bus 1630 and the like, in a specific implementation, the devices may also include other components necessary for proper operation. Furthermore, it will be understood by those skilled in the art that the apparatus described above may also include only the components necessary to implement the solution of the present application, and not necessarily all of the components shown in the figures.

Where fig. 20 illustratively shows the architecture of an electronic device, for example, device 1700 may be a mobile phone, a computer, a digital broadcast terminal, a messaging device, a game console, a tablet device, a medical device, a fitness device, a personal digital assistant, an aircraft, or the like.

Referring to fig. 20, device 1700 may include one or more of the following components: processing components 1702, memory 1704, power components 1706, multimedia components 1708, audio components 1710, input/output (I/O) interfaces 1712, sensor components 1714, and communication components 1716.

The processing component 1702 generally controls the overall operation of the device 1700, such as operations associated with display, telephone calls, data communications, camera operations, and recording operations. Processing elements 1702 may include one or more processors 1720 to execute instructions to perform all or a portion of the steps of a method provided by the disclosed subject matter. Further, processing component 1702 can include one or more modules that facilitate interaction between processing component 1702 and other components. For example, the processing component 1702 may include a multimedia module to facilitate interaction between the multimedia component 1708 and the processing component 1702.

Memory 1704 is configured to store various types of data to support operation at device 1700. Examples of such data include instructions for any application or method operating on device 1700, contact data, phonebook data, messages, pictures, videos, and so forth. The memory 1704 may be implemented by any type or combination of volatile or non-volatile memory devices, such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disks.

The power supply component 1706 provides power to the various components of the device 1700. The power components 1706 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power for the device 1700.

The multimedia components 1708 include a screen that provides an output interface between the device 1700 and a user. In some embodiments, the screen may include a Liquid Crystal Display (LCD) and a Touch Panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive an input signal from a user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense the boundary of a touch or slide action, but also detect the duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia component 1708 includes a front facing camera and/or a rear facing camera. The front camera and/or the rear camera may receive external multimedia data when the device 1700 is in an operational mode, such as a shooting mode or a video mode. Each front camera and rear camera may be a fixed optical lens system or have a focal length and optical zoom capability.

Audio component 1710 is configured to output and/or input audio signals. For example, audio component 1710 includes a Microphone (MIC) configured to receive external audio signals when device 1700 is in an operational mode, such as a call mode, a record mode, and a voice recognition mode. The received audio signal may further be stored in the memory 1704 or transmitted via the communication component 1716. In some embodiments, audio component 1710 also includes a speaker for outputting audio signals.

The I/O interface 1712 provides an interface between the processing component 1702 and peripheral interface modules, which may be keyboards, click wheels, buttons, etc. These buttons may include, but are not limited to: a home button, a volume button, a start button, and a lock button.

Sensor assembly 1714 includes one or more sensors for providing status assessment of various aspects of device 1700. For example, sensor assembly 1714 may detect the open/closed state of device 1700, the relative positioning of components, such as a display and keypad of device 1700, the change in position of device 1700 or a component of device 1700, the presence or absence of user contact with device 1700, the orientation or acceleration/deceleration of device 1700, and the change in temperature of device 1700. The sensor assembly 1714 may include a proximity sensor configured to detect the presence of nearby objects without any physical contact. The sensor assembly 1714 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 1714 may also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.

The communication component 1716 is configured to facilitate communications between the device 1700 and other devices in a wired or wireless manner. The device 1700 may access a wireless network based on a communication standard, such as WiFi,2G or 3G, or a combination thereof. In an exemplary embodiment, the communication component 1716 receives a broadcast signal or broadcast associated information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 1716 further includes a Near Field Communication (NFC) module to facilitate short-range communications. For example, the NFC module may be implemented based on Radio Frequency Identification (RFID) technology, infrared data association (IrDA) technology, ultra Wideband (UWB) technology, bluetooth (BT) technology, and other technologies.

In an exemplary embodiment, the apparatus 1700 may be implemented by one or more Application Specific Integrated Circuits (ASICs), digital Signal Processors (DSPs), digital Signal Processing Devices (DSPDs), programmable Logic Devices (PLDs), field Programmable Gate Arrays (FPGAs), controllers, micro-controllers, microprocessors or other electronic components for performing the above-described methods.

In an exemplary embodiment, a non-transitory computer readable storage medium comprising instructions, such as the memory 1704 comprising instructions, executable by the processor 1720 of the device 1700 to perform the methods provided by the disclosed aspects is also provided. For example, the non-transitory computer readable storage medium may be a ROM, a Random Access Memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.

From the above description of the embodiments, it is clear to those skilled in the art that the present application can be implemented by software plus necessary general hardware platform. Based on such understanding, the technical solutions of the present application may be essentially or partially implemented in the form of a software product, which may be stored in a storage medium, such as a ROM/RAM, a magnetic disk, an optical disk, etc., and includes several instructions for enabling a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method according to the embodiments or some parts of the embodiments of the present application.

The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, the system or system embodiments are substantially similar to the method embodiments and therefore are described in a relatively simple manner, and reference may be made to some of the descriptions of the method embodiments for related points. The above-described system and system embodiments are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement without inventive effort.

The method, the device and the electronic equipment for obtaining the abnormal evaluation information, and the data processing method, the device and the electronic equipment for the commodity object circulation process provided by the application are introduced in detail, specific examples are applied in the text to explain the principle and the implementation mode of the application, and the description of the above embodiments is only used for helping to understand the method and the core idea of the application; meanwhile, for a person skilled in the art, according to the idea of the present application, the specific implementation and the application range may be changed. In view of the above, the description should not be taken as limiting the application.

Claims

1. A method for obtaining anomaly evaluation information, comprising:

a first server side obtains a first information base, wherein at least one abnormal evaluation mode information related to an evaluation object related to a commodity object circulation process is stored in the first information base;

2. The method of claim 1,

the determining of the target abnormality evaluation information associated with the commodity objects in the target entity shop comprises:

and if the target abnormality evaluation information is determined by taking the entity shop as a basic unit, determining a default configured evaluation object and corresponding abnormality evaluation mode information as the target abnormality evaluation information.

3. The method of claim 1,

and if the target abnormal evaluation information is determined by taking a commodity object as a basic unit, acquiring the commodity object associated with the target entity shop, and determining the evaluation object configured by default under each commodity object and the corresponding abnormal evaluation mode information as the target abnormal evaluation information.

4. The method of claim 1,

the identification information of the evaluation object related to the commodity object circulation process is sent to the first client side, so that a user associated with the first client side can determine the target evaluation object from the identification information;

5. The method of claim 1, further comprising:

and if the evaluation demand of the commodity object in the target entity shop changes, updating the target abnormity evaluation information, and sending the updated target abnormity evaluation information to a second server.

6. The method of claim 5,

the evaluation requirement changes into the incidence relation between the target entity shop and the target commodity object,

the updating the target abnormality evaluation information includes:

obtaining the change mode information of the incidence relation between the target entity shop and the target commodity object submitted by the second client;

and updating the target evaluation object associated with the target commodity object and the corresponding target abnormal evaluation mode information according to the change mode information.

7. The method of claim 6,

if the change mode information is the release of the association relationship between the target entity shop and the target commodity object, the change mode information is the release of the association relationship between the target entity shop and the target commodity object

The updating process of the target evaluation object associated with the target commodity object and the corresponding target abnormal evaluation mode information comprises the following steps:

and deleting the target evaluation object related to the target commodity object and the corresponding target abnormality evaluation mode information from the target abnormality evaluation information.

8. The method of claim 6,

the change mode information is to establish the incidence relation between the target entity shop and the target commodity object, and then

and determining an evaluation object associated with the target commodity object and corresponding abnormal evaluation mode information from the first information base, and adding the evaluation object and the corresponding abnormal evaluation mode information into the target abnormal evaluation information.

9. The method of claim 5,

the updating the target abnormality evaluation information includes:

carrying out statistical analysis on the evaluation result information of the target entity shop to obtain abnormal frequency information corresponding to each commodity object;

determining the commodity object with the abnormal frequency exceeding the preset frequency as a target commodity object, and generating prompt information for releasing the association relation and sending the prompt information to the second client;

and if the confirmation information which is returned by the second client and used for releasing the association relationship between the target entity shop and the target commodity object is obtained, deleting the target evaluation object associated with the commodity object to be updated and the corresponding target abnormality evaluation mode information from the target abnormality evaluation information.

10. The method of claim 9, further comprising:

if the confirmation information which is returned by the second client and reserves the association relationship between the target entity shop and the target commodity object is obtained, the operation reason information submitted by the second client aiming at the operation of reserving the association relationship is obtained;

and establishing an association relation between the target commodity object and the operation reason information so as to determine whether to issue the prompt information to the second client according to the operation reason information when the abnormal frequency corresponding to the target commodity object exceeds the preset frequency again.

11. The method of claim 10, further comprising:

determining an action range corresponding to the operation reason information, and establishing an incidence relation between the operation reason information and the commodity objects in the action range, so that when the abnormal frequency corresponding to the commodity objects in the action range exceeds the preset frequency, whether prompt information is issued to the second client side or not is determined according to the operation reason information.

12. The method of claim 5,

the updating the target abnormality evaluation information includes:

determining a target commodity object according to the historical evaluation result information and the historical transaction information of the commodity object, generating prompt information for establishing a new association relationship, and sending the prompt information to the second client;

and if the confirmation information of the association relationship between the newly-built target entity shop and the target commodity object returned by the second client is obtained, determining an evaluation object associated with the target commodity object and corresponding abnormal evaluation mode information from the first information base, and adding the evaluation object and the corresponding abnormal evaluation mode information into the target abnormal evaluation information.

13. The method of claim 5,

the evaluation requirement changes to the target abnormal evaluation mode information related to the target commodity object,

the updating the target abnormality evaluation information includes:

acquiring an updating request submitted by the second client, wherein the updating request comprises identification information of the target commodity object, identification information of a target evaluation object to be updated and corresponding new abnormal evaluation mode information;

and updating the target abnormal evaluation information associated with the target commodity object according to the updating request.

14. The method of claim 1, further comprising:

and dynamically adjusting the target abnormity evaluation information according to a preset period, and sending the adjusted target abnormity evaluation information to a second server.

15. The method of claim 14,

the dynamically adjusting the target anomaly evaluation information according to the preset period comprises:

16. The method of claim 14,

17. The method of claim 14,

18. A method for obtaining anomaly evaluation information, comprising:

the third client provides operation options for submitting abnormal evaluation information, wherein the abnormal evaluation information comprises identification information of an evaluation object related to a commodity object circulation process and corresponding abnormal evaluation mode information;

19. The method of claim 18, further comprising:

and obtaining a weight value associated with the abnormal evaluation information, and submitting the weight value to the first service end.

20. The method of claim 18, further comprising:

and obtaining the influence factors associated with the evaluation objects and the corresponding abnormal evaluation mode information of the evaluation objects under different state information of the influence factors, and submitting the information to the first service end.

21. A data processing method for a commodity object circulation process is characterized by comprising the following steps:

22. The method of claim 21, wherein if the merchandise object is associated with at least two provider users,

the obtaining of the target data in the data type corresponding to the target evaluation object from the operation data related to the circulation process of the commodity object in the target entity store includes:

the method comprises the steps of taking a commodity object and a corresponding provider user as basic units, obtaining operation data generated by the commodity object in a circulation process, and obtaining target data required for evaluating and analyzing the circulation process of the commodity object from the operation data.

23. The method according to claim 21, wherein if the target evaluation object is associated with at least two abnormal evaluation mode information and each abnormal evaluation mode information corresponds to state information having different influence factors,

the method further comprises the following steps:

and determining target abnormal evaluation mode information from the at least two abnormal evaluation mode information according to the current target state information of the influence factors so as to obtain the evaluation result information according to the target data and the target abnormal evaluation mode information.

24. The method of claim 21, further comprising:

and submitting the evaluation result information to the first service end so that the first service end can dynamically adjust the evaluation object associated with the commodity object in the target entity shop and the corresponding abnormal evaluation mode information according to the evaluation result information.

25. A data processing method for a commodity object circulation process is characterized by comprising the following steps:

obtaining evaluation result information corresponding to the commodity object in the entity shop issued by the second server, wherein the evaluation result information is determined by the second server according to the abnormal evaluation information associated with the commodity object, and the abnormal evaluation information comprises an evaluation object which is determined by the first server and is related to the commodity object circulation process and corresponding abnormal evaluation mode information;

26. The method of claim 25,

the displaying the evaluation object and the evaluation result information of the corresponding commodity object in the display area comprises:

and displaying the relevant information of the evaluation object meeting the preset conditions.

27. The method of claim 26,

28. The method of claim 26,

the evaluation object meeting the preset condition is an evaluation object appointed by a user associated with the second client.

29. The method of claim 25, further comprising:

and providing selectable commodity object information through a target interface, and displaying the evaluation object associated with the target commodity object and the corresponding evaluation result information in the display area of each business domain under the condition that the target commodity object is selected.

30. The method of claim 25, further comprising:

and submitting the evaluation result information to the first service end so that the first service end can dynamically adjust the abnormal evaluation information related to the commodity objects in the entity shop according to the evaluation result information.

31. The method of claim 25, further comprising:

and obtaining access frequency information of the evaluation result of the user associated with the second client to the evaluation object, and submitting the access frequency information to the first server, so that the first server can dynamically adjust the abnormal evaluation information associated with the commodity object in the entity shop according to the access frequency information.

32. The method of claim 25, further comprising:

acquiring prompt information issued by the first server aiming at a target commodity object, wherein the prompt information comprises change mode information of the incidence relation between a target entity shop and the target commodity object;

and submitting confirmation information for accepting the change of the association relation to the first server so that the first server updates the target abnormal evaluation information according to the change mode information.

33. The method of claim 32, further comprising:

obtaining optional operation reason information issued by the first server;

and when acquiring confirmation information for refusing the change of the association relationship, the first service terminal displays the optional operation reason information and submits the selected target operation reason information to the first service terminal.

34. The method of claim 32, further comprising:

when obtaining the confirmation information of rejecting the incidence relation change submitted to the first server, providing an operation option for submitting operation reason information corresponding to the operation of rejecting the incidence relation change;

and after the operation reason information is obtained through the operation options, submitting the operation reason information to the first service end.

35. The method of claim 25, further comprising:

determining an evaluation object to be adjusted from evaluation objects in abnormal states, adjusting the state information of the evaluation object to be adjusted to be in a normal state, obtaining abnormal reason information corresponding to the evaluation object to be adjusted, and submitting the abnormal reason information to the second server.

36. A method for obtaining anomaly evaluation information, comprising:

37. A data processing method for a commodity object circulation process is characterized by comprising the following steps:

the method comprises the steps that a second server obtains identification information of an evaluation object related to a commodity object circulation process in a third-party shop, data type information and abnormal evaluation mode information which are needed by evaluation analysis of the evaluation object are obtained, and the evaluation object related to the commodity object and the corresponding abnormal evaluation mode information are determined by a first server;

if the operation data associated with the third-party shop, which is submitted by a third server, is obtained, determining target data in a data type corresponding to the evaluation object from the operation data;

38. An apparatus for obtaining anomaly evaluation information, applied to a first service side, comprising:

39. An apparatus for obtaining anomaly evaluation information, applied to a third client, comprising:

the system comprises an operation option providing unit, a commodity circulation processing unit and a commodity circulation processing unit, wherein the operation option providing unit is used for providing operation options for submitting abnormal evaluation information, and the abnormal evaluation information comprises identification information of an evaluation object related to a commodity object circulation process and corresponding abnormal evaluation mode information;

and the abnormity evaluation information submitting unit is used for submitting the abnormity evaluation information to a first service end after the abnormity evaluation information is obtained through the operation options so that the first service end can store the abnormity evaluation information in a first information base, and determining the target abnormity evaluation information related to the target entity shop from the first information base after the identification information of the target entity shop submitted by the first client end is obtained.

40. A data processing device for a commodity object circulation process is applied to a second server and comprises:

an evaluation object determining unit, configured to determine, from the second information base, a target evaluation object associated with the commodity object in a target entity store when a data processing request submitted by a second client associated with the target entity store is obtained;

41. A data processing device for a commodity object circulation process is applied to a second client associated with a physical shop, and comprises the following steps:

an evaluation result information obtaining unit, configured to obtain evaluation result information corresponding to a commodity object in an entity store issued by the second server, where the evaluation result information is determined by the second server according to abnormality evaluation information associated with the commodity object, and the abnormality evaluation information includes an evaluation object determined by the first server and related to a commodity object circulation process and corresponding abnormality evaluation mode information;

42. An apparatus for obtaining anomaly evaluation information, applied to a first service side, comprising:

an abnormality evaluation information determination unit, configured to determine, from the first information base, target abnormality evaluation information associated with the commodity object in the third-party store, where the target abnormality evaluation information includes identification information of the target evaluation object and corresponding target abnormality evaluation manner information;

43. A data processing device for a commodity object circulation process is applied to a second server and comprises the following components:

the system comprises an abnormal evaluation information obtaining unit, a first service end and a second service end, wherein the abnormal evaluation information obtaining unit is used for obtaining identification information of an evaluation object related to a commodity object circulation process in a third-party shop, and data type information and abnormal evaluation mode information which are needed by evaluation analysis of the evaluation object, and the evaluation object related to the commodity object and the corresponding abnormal evaluation mode information are determined by the first service end;

44. An electronic device, comprising:

one or more processors; and

45. An electronic device, comprising:

one or more processors; and

providing operation options for submitting abnormal evaluation information, wherein the abnormal evaluation information comprises identification information of an evaluation object related to a commodity object circulation process and corresponding abnormal evaluation mode information;

46. An electronic device, comprising:

one or more processors; and

47. An electronic device, comprising:

one or more processors; and

submitting a data processing request to a second server;

48. An electronic device, comprising:

one or more processors; and

49. An electronic device, comprising:

one or more processors; and

obtaining identification information of an evaluation object related to a commodity object circulation process in a third-party shop, and data type information and abnormal evaluation mode information required for evaluation analysis of the evaluation object, wherein the evaluation object related to the commodity object and the corresponding abnormal evaluation mode information are determined by a first service terminal;