CN107767092B

CN107767092B - Processing method, display method and device of commodity object information

Info

Publication number: CN107767092B
Application number: CN201610711854.XA
Authority: CN
Inventors: 高越; 李书鹏; 陈岳阳; 陈鹏; 吴昊; 王涛; 王远
Original assignee: Cainiao Smart Logistics Holding Ltd
Current assignee: Cainiao Smart Logistics Holding Ltd
Priority date: 2016-08-23
Filing date: 2016-08-23
Publication date: 2021-08-24
Anticipated expiration: 2036-08-23
Also published as: CN107767092A

Abstract

The document discloses a processing method, a display method and a device of commodity object information, wherein the processing method of the commodity object information can comprise the following steps: providing inventory information, the inventory information including: the method comprises the steps that a user identifier, a commodity identifier corresponding to the user identifier, one or more warehouse identifiers corresponding to the commodity identifier and inventory quantity corresponding to each warehouse identifier are obtained; receiving a request message, wherein the request message comprises a preset deduction quantity and a preset deduction duration of a commodity identifier corresponding to a user identifier; generating deduction time length according to transaction information, inventory information, the preset deduction quantity and the preset deduction time length corresponding to the commodity identification in the request message; and sending the deduction time length to a user terminal corresponding to the user identification. The method can accurately and directly reflect the saleable condition of the commodity object or the commodity object SKU in each warehouse, so that the user is informed to add the inventory aiming at the specific commodity or the specific commodity type in the specific warehouse in time, the prediction precision is high, and the user experience is improved.

Description

Processing method, display method and device of commodity object information

Technical Field

The present application relates to the field of network technologies, and in particular, to a method for processing and displaying commodity object information and an apparatus thereof.

Background

In an e-commerce transaction platform, a user (e.g., a merchant, a seller, etc.) may publish information about a transaction object (e.g., a good, a service, etc.) to the transaction platform.

In the related art, the saleable time of a commodity object on a trading platform is predicted only based on the situation of an actual commodity. The commodity objects and the commodity object SKUs thereof maintained by the user in daily life are various, the sales volume of each commodity object SKU of the same commodity object in each warehouse is different, and the activity sales volume of the commodity object SKU needs to be considered besides the daily sales volume. Therefore, the method of the related art cannot accurately predict the number of marketable days of the commodity object, so that the user cannot be timely and accurately reminded of replenishment, and the user experience is poor.

Disclosure of Invention

In order to solve the technical problem, the application provides a processing method, a display method and a display device for commodity object information.

In one aspect, the present application provides a method for processing information of a commodity object, including:

providing inventory information, the inventory information including: the method comprises the steps that a user identifier, a commodity identifier corresponding to the user identifier, one or more warehouse identifiers corresponding to the commodity identifier and inventory quantity corresponding to each warehouse identifier are obtained;

receiving a request message, wherein the request message comprises a preset deduction quantity and a preset deduction duration of a commodity identifier corresponding to a user identifier;

generating deduction time length according to transaction information, inventory information, the preset deduction quantity and the preset deduction time length corresponding to the commodity identification in the request message;

and sending the deduction time length to a user terminal corresponding to the user identification.

Wherein the generating a deduction time comprises: and generating the deduction time length of each warehouse corresponding to each warehouse identification.

Wherein the generating a deduction time comprises: determining a total deduction amount of the commodity identification in each warehouse corresponding to each warehouse identification in unit time according to the transaction information, the inventory information, the preset deduction amount and the preset deduction duration corresponding to the commodity identification in the request message; and generating the deduction duration of the commodity identification in each warehouse corresponding to each warehouse identification according to the deduction total amount of the commodity identification in unit time and the inventory number corresponding to each warehouse identification.

Wherein the generating a deduction time comprises:

determining a first unit time deduction amount of the commodity identification in each warehouse corresponding to each warehouse identification according to the transaction information and the inventory information corresponding to the commodity identification in the request message;

determining a second unit time deduction amount of the commodity identification in each warehouse corresponding to each warehouse identification according to the preset deduction amount and the preset deduction duration of the commodity identification;

and generating the deduction duration of the commodity identification in each warehouse corresponding to each warehouse identification according to the deduction amount in the first unit time, the deduction amount in the second unit time and the inventory number corresponding to each warehouse identification.

Wherein the commodity identification comprises a commodity object;

the generating a deduction time period comprises:

determining a first unit time deduction amount of the commodity object in each warehouse corresponding to each warehouse identification according to the transaction information and the inventory information corresponding to the commodity identification in the request message;

determining a second unit time deduction amount of the commodity object in each warehouse corresponding to each warehouse identifier according to the preset deduction amount and the preset deduction duration of the commodity identifier;

and generating the deduction duration of the commodity object in each warehouse corresponding to each warehouse identification according to the first unit time deduction amount, the second unit time deduction amount and the inventory quantity.

Wherein the goods identification comprises a goods object Stock Keeping Unit (SKU);

the generating a deduction time period comprises:

determining a first unit time deduction amount of the commodity object SKU in each warehouse corresponding to each warehouse identification according to the transaction information and the inventory information corresponding to the commodity identification in the request message;

determining a second unit time deduction amount of the commodity object SKU in each warehouse corresponding to each warehouse identification according to the preset deduction amount and the preset deduction duration of the commodity identification;

and generating the deduction duration of the commodity object SKU in each warehouse corresponding to each warehouse identification according to the first unit time deduction amount, the second unit time deduction amount and the inventory number corresponding to each warehouse identification.

Wherein the determining the first unit time deduction amount of the commodity object SKU in each warehouse corresponding to each warehouse identifier comprises:

determining a first unit time deduction amount of the commodity object in the warehouse corresponding to each warehouse identification according to the transaction information of the commodity object corresponding to the commodity object SKU;

determining a bin dividing ratio of the commodity object according to the inventory information and the transaction information of the commodity object, wherein the bin dividing ratio represents the deduction amount ratio of the commodity object in each warehouse corresponding to each warehouse identifier;

determining a deduction ratio of the commodity object SKU according to the transaction information of the commodity object, wherein the deduction ratio represents the ratio of the deduction amount of each commodity object SKU corresponding to the same commodity object;

and determining the first unit time deduction amount of the commodity object SKU in the warehouse corresponding to each warehouse identification according to the first unit time deduction amount of the commodity object, the warehouse dividing ratio of the commodity object and the deduction ratio of the commodity object SKU.

Wherein the inventory information includes: the replenishment lifting period corresponding to each warehouse identifier;

the sending the deduction duration to the user terminal corresponding to the user identifier includes: and sending a notification message to a user terminal corresponding to the user identifier according to the deduction duration and the replenishment pickup period, wherein the notification message carries the deduction duration.

Before sending the deduction duration to the user terminal corresponding to the user identifier, the method further includes: receiving reminding condition information sent by a user terminal, wherein the reminding condition information comprises a user identifier, a commodity identifier and/or a warehouse identifier; the sending the deduction duration to the user terminal corresponding to the user identifier includes: and returning a notification message to the user terminal corresponding to the user identifier according to the reminding condition information, wherein the notification message carries the deduction duration corresponding to the user identifier, the commodity identifier and/or the warehouse identifier in the reminding condition information.

Wherein the request message is from a user terminal.

Wherein the request message is from a second server.

In another aspect, the present application also provides an apparatus for processing merchandise object information, including:

a first providing unit configured to provide inventory information, the inventory information including: the method comprises the steps that a user identifier, a commodity identifier corresponding to the user identifier, one or more warehouse identifiers corresponding to the commodity identifier and inventory quantity corresponding to each warehouse identifier are obtained;

the first receiving unit is used for receiving a request message, wherein the request message comprises the preset deduction quantity and the preset deduction duration of the commodity identification corresponding to the user identification;

the generating unit is used for generating deduction time according to the transaction information, the inventory information, the preset deduction quantity and the preset deduction time corresponding to the commodity identification in the request message;

and the first sending unit is used for sending the deduction duration to a user terminal corresponding to the user identifier.

In another aspect, the present application further provides a server, including a processor and a memory; wherein the memory is used for storing a program for commodity object information processing; when the program for commodity object information processing is read and executed by the processor, the following operations are executed:

Wherein the program for commodity object information processing, when read and executed by the processor, performs the following operations: generating a deduction duration according to the transaction information, the inventory information, the predetermined deduction quantity and the predetermined deduction duration corresponding to the commodity identification in the request message, wherein the deduction duration comprises:

determining a total deduction amount of the commodity identification in each warehouse corresponding to each warehouse identification in unit time according to the transaction information, the inventory information, the preset deduction amount and the preset deduction duration corresponding to the commodity identification in the request message;

and generating the deduction duration of the commodity identification in each warehouse corresponding to each warehouse identification according to the deduction total amount of the commodity identification in unit time and the inventory number corresponding to each warehouse identification.

On the other hand, the application also provides a method for displaying the commodity object information, which comprises the following steps:

sending a request message to a first server, wherein the request message comprises a preset deduction amount and a preset deduction duration of a commodity identifier corresponding to a user identifier;

and receiving and displaying the deduction time length sent by the first server.

In another aspect, the present application further provides an apparatus for displaying merchandise object information, including:

the second sending unit is used for sending a request message to the first server, wherein the request message comprises the preset deduction quantity and the preset deduction duration of the commodity identification corresponding to the user identification;

a second receiving unit, configured to receive the deduction duration sent by the first server;

and the first display unit is used for displaying the deduction time.

In another aspect, the present application further provides a user terminal, including a processor and a memory; the memory is used for storing a program for displaying commodity object information; when the program for displaying the commodity object information is read and executed by the processor, the following operations are executed:

In another aspect, the present application further provides a method for processing information of a commodity object, including:

sending a request message to a first server, wherein the request message comprises a preset deduction amount of a commodity identifier corresponding to a user identifier and a preset deduction duration, so that the first server generates the deduction duration according to transaction information, inventory information, the preset deduction amount and the preset deduction duration corresponding to the commodity identifier in the request message.

In another aspect, the present application further provides an apparatus for processing information of a commodity object, including:

and a third sending unit, configured to send a request message to a first server, where the request message includes a predetermined deduction amount of the commodity identifier corresponding to the user identifier and a predetermined deduction duration, so that the first server generates the deduction duration according to transaction information, inventory information, the predetermined deduction amount, and the predetermined deduction duration corresponding to the commodity identifier in the request message.

In another aspect, the present application further provides a server, including a processor and a memory; the memory is used for storing a program for commodity object information processing; when the program for commodity object information processing is read and executed by the processor, the following operations are executed: sending a request message to a first server, wherein the request message comprises a preset deduction amount of a commodity identifier corresponding to a user identifier and a preset deduction duration, so that the first server generates the deduction duration according to transaction information, inventory information, the preset deduction amount and the preset deduction duration corresponding to the commodity identifier in the request message.

The application includes the following advantages:

according to the method and the device, the deduction duration can be obtained by combining inventory information and transaction information of the commodity identification according to the preset deduction quantity and the preset deduction duration of the commodity identification in the request message, so that the selling duration of a certain commodity object or commodity object SKU in a certain warehouse can be determined, the influence of daily sales volume is considered, the influence of sales volume caused by sales promotion activities and the like is also considered, the commodity identification (such as the commodity object, the commodity object SKU and the like) and the warehouse are taken as dimensions for prediction, the selling condition of the commodity or the commodity type in each warehouse can be accurately and directly reflected, the user is timely notified to add inventory for specific commodities or specific commodity types in the specific warehouse, the prediction precision is high, and the user experience is improved. In addition, this application does not need manual maintenance, has not only saved the manpower, and is efficient moreover.

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

Drawings

The accompanying drawings are included to provide a further understanding of the claimed subject matter and are incorporated in and constitute a part of this specification, illustrate embodiments of the subject matter and together with the description serve to explain the principles of the subject matter and not to limit the subject matter.

FIG. 1 is a schematic flow chart of a commodity object information processing method according to the present application;

FIG. 2 is a schematic diagram of a structure of a commodity object information processing device according to the present application;

FIG. 3 is a schematic flow chart of a merchandise object information display method according to the present application;

FIG. 4 is a schematic diagram of a structure of a merchandise object information display device according to the present application;

FIG. 5 is a diagram illustrating an exemplary process of generating a deducted time length in an embodiment of the present application;

fig. 6 is an exemplary diagram of a composition structure of a first providing unit in the commodity object information processing apparatus according to the embodiment of the present application;

FIG. 7 is a schematic diagram of a system architecture for processing and displaying merchandise object information according to an embodiment of the present application;

fig. 8 is a scene schematic diagram of commodity object information processing and displaying according to an embodiment of the present application.

Detailed Description

To make the objects, technical solutions and advantages of the present application more apparent, embodiments of the present application will be described in detail below with reference to the accompanying drawings. It should be noted that the embodiments and features of the embodiments in the present application may be arbitrarily combined with each other without conflict.

In one exemplary configuration of the present application, a computing device includes one or more processors (CPUs), input/output interfaces, a network interface, and memory.

The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.

Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include non-transitory computer readable media (transient media), such as modulated data signals and carrier waves.

The steps illustrated in the flow charts of the figures may be performed in a computer system such as a set of computer-executable instructions. Also, while a logical order is shown in the flow diagrams, in some cases, the steps shown or described may be performed in an order different than here.

Example one

The application provides a commodity object information processing method, as shown in fig. 1, the method may include:

step 101, providing inventory information, wherein the inventory information comprises: the method comprises the steps that a user identifier, a commodity identifier corresponding to the user identifier, one or more warehouse identifiers corresponding to the commodity identifier and inventory quantity corresponding to each warehouse identifier are obtained;

102, receiving a request message, wherein the request message comprises a preset deduction quantity and a preset deduction duration of a commodity identifier corresponding to a user identifier;

103, generating a deduction duration according to the transaction information, the inventory information, the preset deduction quantity and the preset deduction duration corresponding to the commodity identification in the request message;

and 104, sending the deduction duration to a user terminal corresponding to the user identification.

The deduction duration refers to the deduction duration of each warehouse corresponding to each warehouse identifier. The method may be performed by a first server.

According to the method and the device, the deduction duration is generated according to the transaction information, the inventory information, the preset deduction quantity and the preset deduction duration corresponding to the commodity identification in the request message, the deduction duration is the deduction duration of the commodity identification in the warehouse corresponding to each warehouse identification, the commodity identification and the warehouse identification are used as dimensions for prediction, the selling condition of each commodity corresponding to the commodity identification or the selling condition of the specific commodity type in each warehouse can be accurately and directly reflected, the user is timely informed to add the inventory aiming at the specific commodity or the specific commodity type in the specific warehouse, the prediction precision is high, and the user experience is improved. In addition, this application does not need manual maintenance, has still saved the manpower, has reduced the maintenance cost.

In some implementations, the generating the deduction time period may include: determining a total deduction amount of the commodity identification in each warehouse corresponding to each warehouse identification in unit time according to the transaction information, the inventory information, the preset deduction amount and the preset deduction duration corresponding to the commodity identification in the request message; and generating the deduction duration of the commodity identification in each warehouse corresponding to each warehouse identification according to the deduction total amount of the commodity identification in unit time and the inventory number corresponding to each warehouse identification. Therefore, the selling time of the commodity or the specific commodity type corresponding to each commodity identification in each warehouse can be accurately and timely determined, so that a user is timely informed to add inventory for the specific commodity or the commodity type in the specific warehouse, the prediction precision is high, and the user experience is improved.

In practical applications, the deduction duration may be a ratio of the inventory quantity to the deduction total quantity per unit time, or may be a proportional function value of the ratio. In practical applications, the total amount of the deduction per unit time can be obtained by a first deduction per unit time and a second deduction per unit time, which are described below. For example, it may be the sum of the first unit time decrement and the second unit time decrement, or may be the sum of the product of the first unit decrement and a coefficient and the product of the second unit time decrement and another coefficient. The specific calculation mode can be determined according to actual needs, and is not limited herein.

In some implementations, the generating the deduction period includes: determining a first unit time deduction amount of the commodity identification in each warehouse corresponding to each warehouse identification according to the transaction information and the inventory information corresponding to the commodity identification in the request message; determining a second unit time deduction amount of the commodity identification in each warehouse corresponding to each warehouse identification according to the preset deduction amount and the preset deduction duration of the commodity identification; and generating the deduction duration of the commodity identification in each warehouse corresponding to each warehouse identification according to the deduction amount in the first unit time, the deduction amount in the second unit time and the inventory number corresponding to each warehouse identification. Therefore, the selling time of the commodity or the commodity type corresponding to each commodity identification in each warehouse can be accurately and timely determined, so that a user is timely informed to add inventory for the specific commodity or the commodity type in the specific warehouse, the prediction precision is high, and the user experience is improved.

In practical applications, the deduction time may be: and obtaining a first variable according to the first unit time deduction amount and the second unit deduction amount, and obtaining the deduction time length according to the ratio of the inventory quantity to the first variable. The first variable may be calculated by direct summation, or may be calculated by multiplying the first unit time decrement and/or the second unit decrement by the corresponding coefficient and then summing the first unit time decrement and/or the second unit decrement.

The inventory information may include a user identifier, a commodity identifier corresponding to the user identifier, one or more warehouse identifiers corresponding to the commodity identifier, and an inventory quantity corresponding to each warehouse identifier. Further, the inventory information may further include: the corresponding geographic position, delivery area, warehousing quantity, ex-warehouse quantity, allocated in-transit stock quantity, advance period of replenishment and the like of each warehouse identifier.

In practical applications, the partial inventory information may be provided to the first server by the user terminal. For example, the user terminal may directly provide the first server with the user identifier, the commodity identifier corresponding to the user identifier, one or more warehouse identifiers corresponding to the commodity identifier, and inventory data such as the geographic location, the delivery area, the warehousing quantity, the ex-warehouse quantity, the allocation of in-transit inventory quantity, the replenishment lead time, and the like corresponding to each warehouse identifier, and the first server calculates and updates the inventory quantity corresponding to each warehouse identifier in real time according to the inventory data.

In practice, the first server may be provided by an inventory server dedicated to processing and storing inventory data. The user terminal or a worker in charge of warehouse operation and maintenance may provide the above-mentioned part of inventory information (e.g., user identifier, commodity identifier corresponding to the user identifier, one or more warehouse identifiers corresponding to the commodity identifier, and geographic location, delivery area, warehousing quantity, ex-warehouse quantity, on-road inventory quantity, replenishment lead period, etc. corresponding to each warehouse identifier) to the inventory server, and the inventory server may calculate and update the inventory quantity corresponding to each warehouse identifier in real time according to the inventory information provided by the user terminal. The first server may obtain the inventory information from the inventory server by way of an active request or a passive receipt. For example, the inventory server may be embodied as a platform for managing inventory data, or the like.

The transaction information may include data such as a deduction amount, a transaction time, a price, and a warehouse identifier corresponding to the commodity identifier. In practical applications, the transaction information may be provided to the first server directly from the user terminal, or may be provided to the first server from a transaction server dedicated to processing and storing transaction information. The transaction server can obtain the transaction information by counting the transaction records of the user, and can also obtain the transaction information from the user terminal. The transaction server may be a transaction platform or other platform with similar functionality.

Wherein the predetermined deduction amount and the predetermined deduction period may be included in predetermined deduction information included in the request message. In practical applications, the request message may be directly from the user terminal, may be from the second server, or may be from both the user terminal and the second server. In practical applications, the predetermined deduction information may be information related to sales of the goods generated in sales promotion or other similar sales activities, and specifically may include a goods identification, a predetermined deduction amount and a predetermined deduction time period, wherein the predetermined deduction amount of the goods identification corresponds to the predetermined sales amount of the goods or the goods type in the sales activities, and the predetermined deduction time period of the goods identification corresponds to the predetermined sales time period of the goods or the goods type in the sales activities.

In some implementations, the first server receives a request message from the user terminal, where the request message includes first predetermined deduction information, and the first predetermined deduction information includes an article identifier and a corresponding predetermined deduction amount and a predetermined deduction duration. In practical applications, the first predetermined deduction information may be information related to sales of the goods, which is generated by a user through a sales activity customized by the user terminal, and a specific form of the sales activity is defined by the user.

In some implementations, the first server receives a request message from the second server, where the request message includes second predetermined deduction information, and the second predetermined deduction information includes the product identifier and its corresponding predetermined deduction amount and predetermined deduction duration. In practical applications, the second predetermined deduction information may be information related to the sale of the goods generated by the sale activity created on the second server by the user terminal. The form of the sales activity is defined by the second server, and specific commodity identification, the preset deduction quantity, the preset deduction time and the like are provided to the second server by the user terminal.

In some implementations, the merchandise identification herein may include one or both of: item objects, item object minimum Stock Keeping Units (SKUs). In practical applications, the merchandise object is used to identify merchandise, for example, iphone6s is a merchandise corresponding to one merchandise object, iphone5 is another merchandise corresponding to another merchandise object. Different commodity objects can be distinguished by name or custom strings (one string for each commodity name). Merchandise object SKU is used to identify a particular type of merchandise, for example, iPhone6s of Rose gold 64G is one particular type of merchandise iPhone6s, then iPhone6s of Rose gold 64G corresponds to one merchandise object SKU, iPhone6s of gold 64G is another particular type of merchandise iPhone6s, then iPhone6s of gold 64G corresponds to another merchandise object SKU, and different merchandise object SKUs can be distinguished by the combination of "merchandise name + particular type description (e.g., color + memory; e.g., color + size; etc.)" (Rose gold, 64G, iphone6 s; gold, 64G, iphone6s) or by custom string, one string corresponding to the combination of "merchandise name + particular type description".

In some implementations, the generating the deduction time period may include: determining a first unit time deduction amount of the commodity object in each warehouse corresponding to each warehouse identification according to the transaction information and the inventory information corresponding to the commodity identification in the request message; determining a second unit time deduction amount of the commodity object in each warehouse corresponding to each warehouse identifier according to the preset deduction amount and the preset deduction duration of the commodity identifier; and generating the deduction duration of the commodity object in each warehouse corresponding to each warehouse identification according to the first unit time deduction amount, the second unit time deduction amount and the inventory quantity. Therefore, the time length of each commodity in each warehouse which can be sold can be accurately and timely determined, so that the user is timely informed to add the stock for the specific commodity in the specific warehouse, the prediction precision is high, and the user experience is improved.

The unit time may be determined according to actual calculation requirements, and may be one week, 48 hours (two days), 36 hours (1.5 days) 1, one day (24 hours), 12 hours, or the like. Generally, the unit time is set to one day.

In practical application, the first server may calculate the first unit time deduction amount of the commodity object in each warehouse by counting the transaction information and the inventory information within a certain time. For example, the historical deduction amount of the commodity object corresponding to each warehouse identifier in a certain time period may be counted according to the transaction information and the inventory information of the commodity object in the time period, and the average deduction amount per unit time of the historical deduction amount corresponding to each warehouse identifier in the time period may be used as the first deduction amount per unit time corresponding to each warehouse identifier. In practical applications, the first unit time decrement may be determined by multiple averaging or averaging the results of multiple averaging and then averaging the results of each averaging. In practical application, a first weight value may be set when calculating the first unit time deduction amount according to factors such as importance or profitability of the warehouse corresponding to the warehouse identifier, and the first unit time deduction amount corresponding to each warehouse identifier is obtained through the first weight value, the historical deduction amount and the time range value corresponding to the time period.

In practice, the first server may update the second unit time deduction amount once every time the request message is received. The second unit time deduction amount can be obtained by the following method: and obtaining the preset deduction quantity corresponding to each warehouse identifier according to the product of the commodity object binning ratio corresponding to each warehouse identifier and the preset deduction quantity, and then dividing the preset deduction quantity corresponding to each warehouse identifier by the preset deduction duration to obtain the second unit time deduction quantity corresponding to each warehouse identifier. The commodity object bin dividing ratio can be calculated by adopting a statistical algorithm according to the transaction information and the inventory information of the commodity object. In practical application, a second weight value may be set according to factors such as the importance or the profitability of the actual sales activity corresponding to the request message, and the second unit time deduction amount is calculated according to the second weight value, the commodity object binning ratio, the predetermined deduction amount and the predetermined deduction duration. In practical application, the second unit time deduction amount can be updated once a request message is received, and the second unit time deduction amount can be updated once the second unit time deduction amount is updated once correspondingly; the second unit time reduction amount may be stored in the database, and the second unit time reduction amount may be updated once each request message is received and synchronously updated in the database, and the latest second unit time reduction amount may be searched from the database to periodically update the reduction time period. In addition, the second unit time deduction amount may be calculated by periodically counting data in all request messages received in the time period, or an average value of calculation results of a plurality of times may be used as the second unit time deduction amount, which is not limited herein.

In some implementations, the generating the deduction time period may include: determining a first unit time deduction amount of the commodity object SKU in each warehouse corresponding to each warehouse identification according to the transaction information and the inventory information corresponding to the commodity identification in the request message; determining a second unit time deduction amount of the commodity object SKU in each warehouse corresponding to each warehouse identification according to the preset deduction amount and the preset deduction duration of the commodity identification; and generating the deduction duration of the commodity object SKU in each warehouse corresponding to each warehouse identification according to the first unit time deduction amount, the second unit time deduction amount and the inventory number corresponding to each warehouse identification. Therefore, the selling time of the commodity type corresponding to each commodity object SKU in each warehouse can be accurately and timely determined, so that a user can be timely and accurately informed to add inventory aiming at the specific commodity type in the specific warehouse, the prediction precision is high, and the user experience is improved.

Wherein, the determining the first unit time deduction amount of the commodity object SKU in each warehouse corresponding to each warehouse identifier may be implemented as follows: 1) determining a first unit time deduction amount of the commodity object in the warehouse corresponding to each warehouse identification according to the transaction information of the commodity object corresponding to the commodity object SKU; 2) determining a bin dividing ratio of the commodity object according to the inventory information and the transaction information of the commodity object, wherein the bin dividing ratio represents the deduction amount ratio of the commodity object in each warehouse corresponding to each warehouse identifier; 3) determining a deduction ratio of the commodity object SKU according to the transaction information of the commodity object, wherein the deduction ratio represents the ratio of the deduction amount of each commodity object SKU corresponding to the same commodity object; 4) and determining the first unit time deduction amount of the commodity object SKU in the warehouse corresponding to each warehouse identification according to the first unit time deduction amount of the commodity object, the warehouse dividing ratio of the commodity object and the deduction ratio of the commodity object SKU.

The determination of the first unit deduction amount of the commodity object, the warehouse division ratio of the commodity object and the like can refer to the above related descriptions, and are not described again.

Wherein, the ratio of the SKU deduction amount of the commodity object can be obtained by the following method: counting historical deduction amount of each commodity object SKU under the same commodity object in a certain time period from the transaction information and the inventory information, and determining the ratio of the historical deduction amount of each commodity object SKU as the deduction ratio of the commodity object SKU; alternatively, the historical deduction ratio of each commodity object SKU may be calculated by statistics for a plurality of times, and an average value of the historical deduction ratios of each commodity object SKU is obtained as the deduction ratio of the commodity object SKU for a plurality of times. The first unit time deduction amount of the commodity object SKU in the warehouse corresponding to each warehouse identification can be the product of the first unit time deduction amount of the commodity object, the commodity object bin dividing ratio and the deduction ratio of the commodity object SKU, and can also be other functional relations. In addition, according to the importance and the profitability of the warehouse or the profitability of the commodity object SKU, and the like, a weight value can be added during calculation of the first unit time deduction amount of the commodity object SKU in the warehouse corresponding to each warehouse identifier so as to highlight the influence of the first unit time deduction amount. For example, to reduce the influence of a certain variable (e.g., the amount of the product object to be deducted in the first unit time), the value of the root of the variable may be taken from the above-mentioned product or other functional relationship.

In some implementations, the sending the deducted duration to the user terminal corresponding to the user identifier may include: and sending a notification message to a user terminal corresponding to the user identifier according to the deduction duration and the replenishment pickup period, wherein the notification message carries the deduction duration. Specifically, whether to provide the notification message to the user terminal may be determined according to a difference between the replenishment lead period and the deduction period, and the notification message may be sent only when the user terminal is determined to be notified. For example, the length of the deduction of the item identification (item object or item object SKU) in a warehouse may be compared with the corresponding replenishment lead period; and when the deduction time length exceeds the numerical value of the replenishment lead period and is not larger than a preset first threshold value, sending the notification message to the user terminal. In practical applications, the first threshold may be an empirical value, determined by the first server according to historical data, or preset by the user through the user terminal.

In some implementations, before sending the deduction duration to the user terminal corresponding to the user identifier, the method further includes: receiving reminding condition information sent by a user terminal, wherein the reminding condition information comprises a user identifier, a commodity identifier and/or a warehouse identifier; the sending the deduction duration to the user terminal corresponding to the user identifier includes: and returning a notification message to the user terminal corresponding to the user identifier according to the reminding condition information, wherein the notification message carries the deduction duration corresponding to the user identifier, the commodity identifier and/or the warehouse identifier in the reminding condition information. That is, the notification message may be transmitted to the user terminal according to a reminder condition set by the user. Specifically, before sending the notification message to the user terminal, the first server may receive reminding condition information sent by the user terminal, where the reminding condition information includes a specified commodity identifier (such as a commodity object, a commodity object SKU, and the like) and/or a specified warehouse identifier; the first server can send a notification message to the user terminal according to the reminding condition information, wherein the notification message comprises the deduction time length of the specified commodity identifier in the specified warehouse. In practical applications, the reminding condition may further include the specified first threshold value and/or a specified second threshold value. The notification message may be sent when the value obtained by subtracting the replenishment lead period from the subtraction duration is lower than the first threshold, and the notification message may be sent when the subtraction duration is lower than the second threshold, and the like.

In practical applications, the first server may update the deduction duration once each time the request message is received, and may also update the deduction duration periodically. The notification message may be sent once or after the above condition is satisfied every time the deduction period is updated.

As shown in fig. 2, the present application further provides an apparatus for processing merchandise object information, which is applicable to a first server, and the apparatus may include:

a first providing unit 21 configured to provide inventory information, the inventory information including: the method comprises the steps that a user identifier, a commodity identifier corresponding to the user identifier, one or more warehouse identifiers corresponding to the commodity identifier and inventory quantity corresponding to each warehouse identifier are obtained;

the first receiving unit 22 is configured to receive a request message, where the request message includes a predetermined deduction amount and a predetermined deduction duration of a commodity identifier corresponding to a user identifier;

the generating unit 23 is configured to generate a deduction duration according to the transaction information, the inventory information, the predetermined deduction amount, and the predetermined deduction duration corresponding to the commodity identifier in the request message;

a first sending unit 24, configured to send the deduction duration to a user terminal corresponding to the user identifier.

The apparatus shown in fig. 2 may be used to implement all the method flows and the specific steps described above, and the specific implementation principle is similar and will not be described again.

The first providing unit 21, the first receiving unit 22, the generating unit 23, and the first sending unit 24 may be software, hardware, or a combination of the two, respectively. The method for processing the commodity object information and the device for processing the commodity object information can be realized by the first server.

In some implementations, the first receiving unit 22 may be implemented by a receiving device, the first providing unit 21 may be implemented by a processor, a memory, and the like, the generating unit 23 may be implemented by a processor, and the like, and the first sending unit 24 may be implemented by a sending device, and the like. For example, the first sending unit 24 and the first receiving unit 22 may be implemented by communication components supporting the HTTP protocol.

In addition, the application also provides a server, which comprises a processor and a memory; the memory is used for storing a program for commodity object information processing; when the program for commodity object information processing is read and executed by the processor, the following operations are executed:

In some implementations, the program for commodity object information processing, when read and executed by the processor, performs the following operations: generating a deduction duration according to the transaction information, the inventory information, the predetermined deduction amount and the predetermined deduction duration corresponding to the commodity identification in the request message, wherein the generating of the deduction duration may include: 1) determining a total deduction amount of the commodity identification in each warehouse corresponding to each warehouse identification in unit time according to the transaction information, the inventory information, the preset deduction amount and the preset deduction duration corresponding to the commodity identification in the request message; 2) and generating the deduction duration of the commodity identification in each warehouse corresponding to each warehouse identification according to the deduction total amount of the commodity identification in unit time and the inventory number corresponding to each warehouse identification.

The server is the first server in the foregoing, and the server may implement all the processes in the foregoing method, and specifically refer to the relevant description above. In practical application, the server can also provide a trading platform.

Example two

As shown in fig. 3, the present application further provides a method for displaying information of a commodity object, which is applied to a user terminal and may include:

step 301, sending a request message to a first server, where the request message includes a predetermined deduction amount and a predetermined deduction duration of a commodity identifier corresponding to a user identifier;

step 302, receiving and displaying the deduction time length sent by the first server.

In addition, the method may further include: providing transaction information and partial inventory information to the first server or other servers.

As shown in fig. 4, the present application also provides an apparatus for displaying merchandise object information, comprising:

a second sending unit 41, configured to send a request message to the first server, where the request message includes a predetermined deduction amount and a predetermined deduction duration of the commodity identifier corresponding to the user identifier;

a second receiving unit 42, configured to receive the deduction duration sent by the first server;

a first display unit 43 for displaying the deduction time.

The second sending unit 41, the second receiving unit 42 and the first presenting unit 43 may be software, hardware or a combination of both. The method for displaying commodity object information and the device for displaying commodity object information can be realized by an electronic device which can be used as a user terminal, for example, a PC, a wearable device, a mobile terminal, a tablet computer, and the like.

In some implementations, the apparatus shown in fig. 4 may also be a browser or an application supported by a PC or a mobile terminal (e.g., a mobile phone, a tablet computer, a portable electronic device, a wearable device, etc.).

In some implementations, the second sending unit 41 may be implemented by a transmitter or the like, the second receiving unit 42 may be implemented by a receiving device, and the first exhibiting unit 43 may be implemented by a display or the like. The apparatus shown in fig. 4 may be an electronic device including a transmitter, a receiver, and a display, or an electronic device including a transmitter, a receiver, and a display, such as a PC, a wearable device, a mobile terminal, a tablet computer, and so on.

In addition, the application also provides a user terminal, which comprises a processor and a memory; the memory is used for storing a program for displaying commodity object information; when the program for displaying the commodity object information is read and executed by the processor, the following operations are executed:

The user terminal may implement all the processes in the method shown in fig. 3, and refer to the above related description specifically. In some implementations, the long whiskers displaying the commodity object information may be loaded through a browser or an application program supported by a PC or a mobile terminal. In some implementations, the user terminal may be a PC, wearable device, cell phone, tablet, or the like.

EXAMPLE III

In this application, a method for processing commodity object information is also provided, including:

Correspondingly, the device for processing the commodity object information comprises the following components: and a third sending unit, configured to send a request message to a first server, where the request message includes a predetermined deduction amount of the commodity identifier corresponding to the user identifier and a predetermined deduction duration, so that the first server generates the deduction duration according to transaction information, inventory information, the predetermined deduction amount, and the predetermined deduction duration corresponding to the commodity identifier in the request message.

The above method and apparatus of the present embodiment may be applied to the above second server, which may be a server or a server cluster providing a sales activity platform.

The embodiment also provides a server, which comprises a processor and a memory; the memory is used for storing a program for commodity object information processing; when the program for commodity object information processing is read and executed by the processor, the following operations are executed:

The server is the second server, and the second server can implement all the processes in the method. In practical application, the server can also provide a sales activity platform.

Example 1

The following describes the generation process of the deduction time length in the present application in detail by way of example. In this example, the number of available sales days is an example of the above deduction period, the daily average normal sales amount is an example of the above deduction amount per unit time, the daily average activity sales amount is an example of the above deduction amount per unit time, and the daily average total sales amount is an example of the above deduction amount per unit time. The sales activity information is an example of the predetermined deduction information, the sales activity sales amount and the predetermined activity sales amount are examples of the predetermined deduction amount, the predetermined sales time is an example of the predetermined deduction time, the commodity object SKU and the commodity object are examples of the commodity identification, the historical sales data is an example of the historical deduction amount, and the current stock that can be sold is an example of the stock amount.

As shown in FIG. 5, the process of determining the number of days available for sale for the SKU for the merchandise object in each warehouse may include:

step 501, predicting daily average normal sales of commodity objects according to transaction information from a user terminal;

step 502, predicting a commodity object SKU sales ratio under a commodity object according to the commodity object SKU information and the transaction information from the user terminal;

step 503, predicting a warehouse-to-warehouse sales ratio (also called warehouse sales ratio) of the commodity object according to the inventory information and the transaction information from the user terminal;

step 504, calculating daily average activity sales of each commodity object SKU in each warehouse according to sales activity information from the user terminal or the second server;

step 505, obtaining the current stock available for commodity object SKU in each warehouse according to the stock information from the user terminal;

step 506, obtaining the daily average normal sales of the commodity object SKU in each warehouse according to the daily average normal moving sales of the commodity object, the commodity object SKU sales ratio under the commodity object and the bin dividing ratio of the predicted commodity object, and obtaining the daily average total sales of the commodity object SKU in each warehouse according to the daily average normal sales and daily average moving sales of the commodity object SKU in each warehouse;

and step 507, obtaining the number of selling days available for the commodity object SKU in each warehouse according to the daily total selling amount of the commodity object SKU in each warehouse and the current selling inventory.

The sequence of steps 501 to 505 is not limited, and may be interchanged or executed simultaneously.

In this example, the daily total sales of the commodity object SKU for each warehouse is predicted based on the commodity object SKU information, the transaction information, the inventory information, and the sales activity information, and then the number of available sales days for the commodity object SKU in each warehouse is determined in conjunction with the current marketable inventory of the commodity object SKU in each warehouse.

In some implementations, step 501 may be implemented by:

forming historical sales data of the commodity object according to the SKU information and the transaction information of the commodity object; training a plurality of decision trees by using a machine learning algorithm and a random forest model and taking historical sales data of the commodity object as training data, estimating daily average normal sales of the commodity object in a specified time period (such as six weeks in the future) in the future according to the decision trees, and storing the daily average normal sales of the commodity object in the specified time period in a database.

In some implementations, daily average normal sales of the commodity object may be stored in the database by creating and/or updating a data table. For example, a daily average normal sales data table as shown in table 1 below may be created in the database, and a daily average normal sales data table is created for each commodity object, where the daily average normal sales data table may include the following fields: table identification, user identification, item object, start date, and value of sales (i.e., deduction value). The system comprises a table identification field, a user identification field, a sales volume value field, a starting date field and a commodity object field, wherein the table identification field is used for writing a data table ID, the user identification field is used for writing a user identification (such as a seller ID), the sales volume value field is used for writing a normal sales volume value in a specified time period, the starting date field is used for writing a specific starting date of the specified time period, and the commodity object field is used for writing an identification (such as an ID, a name and the like) of a commodity object.

Information name	Examples of the invention
		Table identifier	Table ID
User identification	Seller ID
		Commodity object	Commodity object ID
Monday date	XX month XX day XX year
		Value of sales	YYY

TABLE 1

In some implementation manners, historical sales data of the commodity object can be updated regularly according to changes of the transaction information, retraining is performed by taking the updated historical sales data of the commodity object as training data, the random forest model is updated synchronously, daily average normal sales of the commodity object are updated, and updating of the daily average normal sales of the commodity object is synchronized to the database. Therefore, the daily average normal sales accuracy rate obtained by modeling and predicting by taking the commodity object as a dimension can reach more than 70%.

In some implementations, step 502 may be implemented by:

according to the information of the commodity object SKU and the transaction information, the historical sales ratio of each commodity object SKU under the commodity object can be determined; and predicting the commodity object SKU sales ratio (corresponding to the commodity object SKU deduction ratio) under the commodity object by using the ratio of the historical sales of each commodity object SKU under the commodity object as training data by adopting a machine learning algorithm and storing the ratio in a database.

In some implementations, the sales ratios of the SKUs of the merchandise objects under the merchandise objects can be stored in a database by creating and/or updating a data table. For example, a stock object SKU sales ratio data table as shown in table 2 below may be created in the database, and a stock object SKU sales ratio data table may be created for each stock object, and a table identifier (table ID), a stock object (e.g., a stock object ID), a user identifier (e.g., a seller ID), a stock object SKU sales ratio (e.g., M1), and the like may be recorded in the stock object SKU sales ratio data table.

TABLE 2

In some implementations, the commodity object SKU sales ratio data can also be updated and retrained periodically based on the commodity object SKU information and the transaction information, and the updated commodity object SKU sales ratio is synchronized into the database (as in table 2).

In some implementations, the step 503 of predicting the binning ratio of the commodity object can be implemented as follows:

and obtaining the bin ratio of each commodity object according to the transaction information and the inventory information by adopting a machine learning algorithm and storing the bin ratio in a database.

In this embodiment, the commodity object binning ratio may be stored in the database by creating and/or updating a data table. For example, a data table of the bin ratios of the commodity objects as shown in table 3 below may be created in the database, one data table of the bin ratios may be created for each commodity object, and a table identifier (e.g., table ID), a commodity object (e.g., commodity object ID), a user identifier (i.e., seller ID), a bin ratio of the commodity object (e.g., M2), and the like may be recorded in each data table of the bin ratios. In addition, the data table may also contain other information, which is not limited herein. As shown in table 3, a binning ratio of a commodity object may be represented using a field ratio _ expression, and item _ ID is a commodity object ID.

TABLE 3

In practical application, the bin dividing ratio of the commodity object can be updated regularly according to the change of the transaction information and the inventory information.

In practical application, in the database, M1 and M2 in tables 2 and 3 may be respectively an expression, M1 is an expression of commodity object SKU sales ratio, and M2 is an expression of commodity object binning ratio, and may be, for example: store 1, store 2 and store 3 are 1:2: 4. During calculation, the expression can be taken out and the proportion can be analyzed for program calculation.

In some implementations, step 504 can be implemented by:

obtaining the daily average activity sales volume of the commodity object SKU in each warehouse according to the preset activity sales volume, the preset sales duration and the commodity object warehouse division ratio of the commodity object SKU in the sales volume activity information;

updating the sales activity information table and the related sales activity sub-warehouse table in the database; the sales activity information table is associated with a plurality of sales activity sub-warehouse tables and comprises fields such as sales activity identification, sales activity platform identification, sales activity types, user identification and the like; the sales activity sub-warehouse table contains daily average activity sales volume and sales activity identification of the commodity object SKU in each warehouse.

In some implementations, the table structure of the sales activity information table may take the form as shown in Table 4 below. The sales activity information table contains a table identifier, a sales activity type, a sales activity platform identifier, a user identifier (seller ID), and a foreign key ID. Wherein, the field act _ name can be used as an activity name, act _ type is an activity category (divided into a second sales activity predefined in the second server and a first sales activity created by the user at the first server or the second server itself), act _ sub _ type is a sales activity platform identification (e.g., divided into a group calculation activity, a pan and rush purchase activity, a merchant self-created activity, etc.), seller _ id is a merchant id, act _ out _ id is an external key id of the activity, and the external key id is simultaneously used as a unique key, so as to prevent two identical sales activities from being repeatedly created.

TABLE 4

In some implementations, the sales activity sublevel can include a merchandise object, a sales activity identification, a merchandise object SKU, a warehouse identification, a daily average activity sales volume, a predetermined time to sell (corresponding to the predetermined deduction time above), and the like. Table 5 below is an example of a sales activity split table for the present application.

As shown in table 5, the sales activity binning table stores not only the sales activity information (including the predicted sales volume, the activity price, etc.) of the commodity object, but also the activity sales volume after the commodity object binning and the commodity object SKU binning (i.e., the sales activity sales volume of each commodity object SKU in each warehouse). The item _ id is a commodity object id, the act _ id is a sales activity id (i.e., an id in the sales activity information table used for associating the sales activity information table), the commodity object SKU _ id is a commodity object SKU id, the store _ code is a warehouse identifier, and the forecast _ cast _ num is an average daily activity sales volume. parent _ ID is the parent ID, 0 represents total bin, not 0 represents split bin, start _ time is the time of start of the sales activity, end _ time is the time of end of the sales activity, act _ price is the price of the sales of the activity (corresponding to the predetermined deduction price herein).

In some implementations, the sales activity information table can be associated with the sales activity sublist by a sales activity identification in a database.

TABLE 5

In some implementations, step 505 can be implemented by: when the stock changes, the user can modify or reset the stock in real time, after the user modifies or resets the stock, the user terminal or the stock server for managing the stock data sends a stock change message to the first server, the stock change message contains the latest stock information, the first server receives the stock change message and analyzes the stock information from the stock change message, and the current marketable stock of the commodity object SKU in each warehouse corresponding to each warehouse identifier can be determined according to the stock quantity, the ex-warehouse quantity and the like of the commodity object SKU in each warehouse corresponding to each warehouse identifier in the stock information.

In some implementations, step 506 can be implemented by:

and respectively reading the daily average normal sales volume of the commodity objects, the commodity object SKU sales volume ratio and the bin dividing ratio of the commodity objects in the tables 1, 2 and 3 from the database, and multiplying the daily average normal sales volume of the commodity objects by the commodity object SKU sales volume ratio to obtain the daily average normal sales volume of the commodity objects under the commodity objects. Multiplying the daily average normal sales volume of the commodity object SKU of the commodity object by the bin dividing ratio of the commodity object to obtain the daily average normal sales volume of the commodity object SKU in each warehouse;

reading the daily average activity sales volume of the commodity object SKU in each warehouse in the table 5, and taking the sum of the daily average normal sales volume of the commodity object SKU in each warehouse and the daily average activity sales volume of the same commodity object SKU in the warehouse as the daily average total sales volume of the commodity object SKU in each warehouse.

In some implementations, step 507 can be implemented by: according to the current marketable inventory of the commodity object SKU in each warehouse obtained in the step 505 and the daily average total sales volume of the commodity object SKU in each warehouse obtained in the step 506, the daily average total sales volume (corresponding to the above deduction total volume in unit time) of each future day is subtracted from the current marketable inventory one by one in units of days, and the number of sales-available days of the commodity object SKU in each warehouse corresponding to each warehouse identifier can be obtained.

In some implementations, the generating unit 23 may be implemented by a structure as shown in fig. 6. As shown in fig. 6, the generating unit 23 may include:

a first calculating module 211, configured to calculate a daily average activity sales amount of each commodity object SKU in each warehouse according to the sales activity information (the above predetermined deduction information, including the predetermined sales time and the predetermined activity sales amount, where the predetermined activity sales amount corresponds to the above predetermined deduction amount, and the predetermined sales time corresponds to the above predetermined deduction time) from the user terminal or the second server;

a second calculation module 212, configured to obtain a current stock available for commodity object SKU in each warehouse according to the stock information from the user terminal or the stock server;

a third calculating module 213, configured to read the daily average normal sales volume of the commodity object, the sales volume ratio of the commodity object SKU, the bin dividing ratio, and the daily average active sales volume of the commodity object SKU from the database 215, and calculate the number of days available for sale of the commodity object SKU in each warehouse in combination with the current marketable inventory of the commodity object SKU in each warehouse;

a fourth calculating module 214, configured to determine the daily average normal sales of the commodity object and store the daily average normal sales in the database 215, determine the sales ratio of the commodity object SKU and store the sales ratio in the database 215, and determine the warehouse split ratio of the commodity object and store the warehouse split ratio in the database 215 according to the SKU information (including the user identifier, the commodity object corresponding to the user identifier, and the commodity object SKU corresponding to the commodity object), the transaction information, and the inventory information.

A database 215 for storing daily average normal sales of the commodity objects, a commodity object SKU sales ratio (example of deduction ratio for commodity object SKU above), a bin split ratio for the commodity objects, and daily average activity sales of the commodity object SKU in each of the warehouses.

In some implementation manners, the structure shown in fig. 6 may implement the flow shown in fig. 5, and the specific implementation process may be referred to above and is not described again.

In some implementations, the fourth calculating module 214 may be further divided into three independent calculating sub-modules, wherein one sub-module obtains the daily average normal sales of the commodity object, one sub-module obtains the SKU sales ratio of the commodity object, and the last sub-module obtains the bin split ratio of the commodity object, and the three sub-modules can obtain corresponding prediction data (i.e., the daily average normal sales of the commodity object, the SKU sales ratio of the commodity object, and the bin split ratio of the commodity object) by training corresponding historical data, and store the corresponding prediction data in the database 215. The first calculating module 211, the second calculating module 221 and the third calculating module 213 may also be implemented by the same software module with corresponding calculating functions, and are not described again.

In practical applications, the database 215 may be a storage area in a memory, or may be a memory configured otherwise, and the fourth calculation module 214, the first calculation module 211, the second calculation module 212, and the third calculation module 213 are executed by a processor, and may be software, hardware, or a combination thereof.

EXAMPLE five

As shown in fig. 7, the present embodiment provides a system for processing and displaying merchandise object information, which may include: the system comprises a first server, a second server and a user terminal.

Wherein the first server comprises a processor and a memory; the memory is used for storing a program for commodity object information processing; when the program for commodity object information processing is read and executed by the processor, the following operations are executed:

Wherein the second server comprises a processor and a memory; the memory is used for storing a program for commodity object information processing; when the program for commodity object information processing is read and executed by the processor, the following operations are executed: and sending a request message to the first server, wherein the request message comprises the preset deduction quantity of the commodity identification corresponding to the user identification and the preset deduction duration, so that the first server generates the deduction duration according to the transaction information, the inventory information, the preset deduction quantity and the preset deduction duration corresponding to the commodity identification in the request message.

The user terminal comprises a processor and a memory; the memory is used for storing a program for displaying commodity object information; when the program for displaying the commodity object information is read and executed by the processor, the following operations are executed: sending a request message to a first server, wherein the request message comprises a preset deduction amount and a preset deduction duration of a commodity identifier corresponding to a user identifier; and receiving and displaying the deduction time length sent by the first server.

In practical applications, the second server may provide a sales activity platform, the sales activity platform predefines at least one second sales activity, the second server may provide the at least one second sales activity to the user terminal, and after receiving the second sales activity selected by the user and the input predetermined deduction information (including user identification, commodity identification, predetermined deduction duration, predetermined deduction amount, predetermined deduction price, and the like), may generate a corresponding second sales activity and send a request message to the first server, where the request message may include the predetermined deduction information corresponding to the second sales activity, and specifically may include: user identification, commodity identification, predetermined deduction quantity, predetermined deduction length, predetermined deduction price and the like. When the second sales activity is ended or changed, the second server can also send a request message to the first server in real time, and sends the predetermined deduction information (which can comprise a user identifier, a predetermined activity identifier, a changed predetermined deduction amount, a predetermined deduction duration and a predetermined deduction price) generated by changing the second sales activity or the predetermined deduction information (which can comprise a user identifier, a commodity identifier, a predetermined activity identifier and the like) generated by deleting the second sales activity to the first server, so that the first server can obtain the latest predetermined deduction information, and the corresponding deduction duration is updated in real time. In this way, when the user registers to participate in the second sales activity on the sales activity platform provided by the second server, the first server may automatically obtain the corresponding predetermined deduction information and synchronously update the corresponding data (such as the predetermined deduction duration, the predetermined deduction amount, the commodity identifier, the predetermined deduction price, the second deduction amount per unit time of the commodity identifier in each warehouse, the deduction duration, etc.) in the local database.

In practical applications, the user terminal may be configured to: sending a request message to the first server, wherein the request message comprises scheduled deduction information (which can comprise user identification, commodity identification, scheduled deduction time, scheduled deduction quantity, scheduled deduction price and the like) corresponding to the first sales activity, and/or sending scheduled deduction information (which can comprise user identification, commodity identification, scheduled deduction time, scheduled deduction quantity, scheduled deduction price and the like) of the selected second sales activity to the second server; and displaying a notification message from the first server, wherein the notification message comprises a warehouse identifier, a commodity identifier and a deduction time corresponding to the commodity identifier. In some implementations, the user terminal may be further configured to present a second sales activity provided by the second server, such that the user selects the second sales activity to participate in and inputs corresponding predetermined deduction information. The first sales activity is created by a user through a user terminal on a platform provided by the first server in a self-defining manner, and the predetermined deduction information comprises a user identifier, a commodity identifier (such as a commodity object and a commodity object SKU), a predetermined deduction quantity (such as a predetermined activity sales quantity), a predetermined deduction duration (such as a predetermined sales duration) and the like. In addition, the user terminal can also send the reminding condition set by the user to the first server, and the first server can inform the user terminal of the deduction duration according to the reminding condition.

Example two

Fig. 8 is a schematic diagram illustrating an application example of the method and apparatus of the present application.

As shown in fig. 8, the commodity object of seller a is a mobile phone "iphone 6S", and its marketable commodity object SKU may include 12 kinds, which are respectively: SKU1(iphone 6S/gold/16G), SKU2(iphone 6S/gold/64G), SKU3(iphone 6S/gold/128G), SKU4(iphone 6S/silver/16G), SKU5(iphone 6S/silver/64G), SKU6(iphone 6S/silver/128G), SKU7(iphone 6S/grey/16G), SKU8(iphone 6S/grey/64G), SKU9(iphone 6/grey/128G), SKU 59 10(iphone 6S/rose/16G), SKU11(iphone6 gold S/gold rose/64G), SKU12(iphone 6S/rose/128G).

As shown in fig. 8, seller a is configured with two warehouses, respectively: the system comprises a warehouse 1 and a warehouse 2, wherein the delivery area of the warehouse 1 is the east China area, the delivery area of the warehouse 2 is the south China area, and the warehouse 1 and the warehouse 2 both store the 12 commodity objects SKUs.

As shown in fig. 8, the seller a may make a transaction through the user terminal and provide its inventory information, commodity object SKU information, transaction information, sales activity information, etc. to the first server. The commodity object SKU information includes data of commodity object names, memories, colors, and the like of the 12 kinds of commodity object SKUs. The inventory information may include warehouse configuration (warehouse identification, geographic location, shipping area) of the seller a, commodity object SKU in each warehouse, and warehousing quantity, ex-warehouse quantity, allocation on-road inventory quantity, replenishment lead time and other data of each commodity object SKU in each warehouse.

In practical applications, the first server provides a transaction platform to the user terminal, the user terminal displays the transaction platform in a website or the like, and the seller a may register the store on the transaction platform to sell goods, services, and the like. A transaction is generated when seller A sells a merchandise object SKU on a transaction platform provided by a first server. In practical applications, the transaction information may be included in an order message sent from the user terminal to the server, and the server extracts the transaction information from the order message. The transaction information may include data such as the number of merchandise objects SKUs sold, time of sale, price, etc. For example, the transaction information may include: seller identification, buyer identification, shipping address, shipping time, shipping warehouse identification, shipment quantity of commodity object SKU in each shipping warehouse, commodity object SKU & total quantity & price;

in practical applications, the commodity object SKU information may be input by the seller when registering the store or when a new commodity object is added, the user terminal may send the commodity object SKU information (including the user identifier, the commodity object corresponding to the user identifier, each commodity object SKU corresponding to the commodity object, the number of each commodity object SKU, and the like) to the server through a corresponding registration message or an update message, and the server may receive the registration message or the update message, extract the commodity object SKU information therein, and update the related data in the local database synchronously.

In practical application, the user terminal sends inventory information to the server through inventory change messages or the registration messages, and when inventory change occurs (such as warehousing of commodity object SKUs, ex-warehouse of commodity object SKUs due to transfer or transaction), corresponding inventory information is sent to the server through inventory change messages (carrying warehousing quantity, ex-warehouse quantity and the like of commodity object SKUs in each warehouse) and registration messages (carrying warehouse quantity of seller a, warehouse identification of each warehouse, delivery area, in-warehouse quantity of commodity object SKUs and the like) when the stores are registered, and the server receives the registration messages or the inventory change messages, extracts the inventory information and synchronously updates related data in the local database.

As shown in fig. 8, inventory data is also stored in the first server, and the inventory data may include warehouse configuration information input by the seller, and commodity objects SKU and quantity put in each warehouse; the first server may update the current stock available for the commodity object SKU in each of the warehouses in the inventory data in real time according to the transaction information and the inventory information.

The seller selects to participate in the sales activity on the sales activity platform provided by the second server, and inputs the sales activity information: item object SKU & predetermined campaign sales volume (example of predetermined deduction volume above) & campaign sales price (example of predetermined deduction price above) & predetermined length of sale time (example of predetermined deduction length above). In practical applications, the predetermined activity sales amount may be the total number of SKU grades of the commodity objects, or the total number of grades of the commodity objects, and may be set by the seller.

As shown in fig. 8, the second server may provide a sales activity platform: the above sales activity information (an example of the above predetermined deduction information) input by the seller is stored, a corresponding sales activity is generated upon the approval, and a corresponding sales activity creation message (an example of the above request message) is sent to the first server, the sales activity creation message including: seller identification, sales campaign ID, identification of item object SKU & campaign sales quantity & scheduled sales time & campaign sales price (example of scheduled deduction price above). At the end of the sales activity or when the sales activity is changed, the second server may further send a sales activity change message (which may include a seller identifier, a sales activity ID, an identifier of a changed commodity object SKU, a predetermined activity sales volume, a predetermined sales duration, and an activity sales price) (an example of the above request message) or a sales activity deletion message (which may include a seller identifier, a sales activity ID, an identifier of a commodity object SKU, and the like) (an example of the above request message) to the first server in real time, so that the first server can obtain latest sales activity information, thereby updating the daily average activity sales volume of the corresponding commodity object SKU (an example of the above second unit time deduction amount) in real time. As such, when the seller a registers for participation in a sales activity (an example of a second sales activity) on the sales activity platform provided by the second server, the first server may automatically acquire the sales activity information (i.e., the predetermined deduction information) and synchronously update corresponding data (e.g., a predetermined sales time period, a predetermined activity sales volume of the commodity object SKU, an activity sales price, a daily average activity sales volume of the commodity object SKU in each warehouse, etc.) in the local database.

In the example shown in FIG. 8, the length of time that the item object SKU is available for sale (i.e., the length of the deduction) may be derived from the ratio of the current number of marketable inventory to the total daily sales.

The average daily sales total is the above deduction total per unit time, the current number of stock available for sale is the above stock number, the time length available for sale is the above deduction time length, and these data correspond to specific warehouse identification and commodity object SKU, or these data may also correspond to specific warehouse identification and commodity object.

For example, the average daily sales volume may be the sum of the average daily activity sales volume (i.e., the second unit time deduction above) and the average daily normal sales volume (i.e., the first unit time deduction above). If the average daily normal sales needs to be calibrated, a coefficient may also be multiplied before the average daily normal sales before summing, and the coefficient may be determined empirically. If a correction for the average daily activity sales is required, a factor may also be multiplied before the average daily activity sales before summing, the factor being determined empirically.

For example, historical sales volume in the transaction information of the commodity object in a period of time may be counted, and the daily average normal sales volume of the commodity object may be obtained based on a ratio between the historical sales volume and the corresponding time range value. The daily average normal sales of the commodity object SKU may be a product of the daily average normal sales of the commodity object, the commodity object binning ratio, and the commodity object SKU sales ratio. The commodity object SKU sales ratio is the above commodity object SKU deduction ratio, and can be obtained from historical sales data (historical deduction).

For example, the predetermined activity sales amount of the commodity object SKU in each warehouse can be obtained by the product of the predetermined activity sales amount of the commodity object, the commodity object warehouse division ratio and the commodity object SKU sales amount ratio, and then the daily activity sales amount can be obtained by the ratio of the predetermined activity sales amount of the commodity object SKU in each warehouse to the predetermined sales time. The commodity object bin dividing ratio can be obtained according to the ratio of the historical sales volume of the commodity objects in each warehouse. For example, if the sales activity information includes a predetermined activity sales volume for a commodity object SKU, the predetermined activity sales volume for the commodity object SKU in each warehouse may be derived from the product of the predetermined activity sales volume for the commodity object SKU and the bin split ratio for the commodity object.

As shown in fig. 8, the first server obtains the available sale days (i.e. the deduction time) of each item object SKU in each warehouse of the seller a according to the process shown in fig. 8 according to the transaction information, the inventory information, the sales activity information (i.e. the predetermined deduction information, including the predetermined deduction amount and the predetermined deduction time) from the second server (e.g. the accumulation) and/or the user terminal, and sends out a notification to remind the seller a of replenishment when necessary. In practical application, the seller a can freely set a reminding condition, and the first server can issue a notification according to the reminding condition, where the reminding condition may enable the seller a to designate a commodity object SKU and/or warehouse to be notified, and may further include a first threshold and/or a second threshold designated by the seller a, and issue the notification when the number of available sales days is greater than the number of replenishment lead time and is lower than the first threshold, and issue the notification when the number of available sales days is lower than the second threshold; in practice, the notification may be sent by the first server according to a default reminding condition (for example, the number of days available for sale of the SKU in each warehouse exceeds the replenishment lead period is not lower than a predetermined first threshold, and the first threshold is determined by an empirical value).

Wherein, the first server comprises a database, the database can store the intermediate variable data (including daily average normal sales of commodity objects, commodity object SKU sales ratio, commodity object warehouse division ratio, daily average activity sales of each commodity object SKU in each warehouse) shown in FIG. 8 in real time, the intermediate variable data can be stored and associated in the database in the form of a data table, thus, the first server can determine the available sales duration (such as the available sales days) of the commodity object SKU in each warehouse in real time by reading the intermediate variable data in the corresponding data table, thus, when the data volume contained in the transaction information, the inventory information and the sales activity information is large, the data processing efficiency can be obviously improved, and the compatibility between the prediction calculation of the current sales duration and the original data (such as the data in the transaction information and the inventory information) can be improved, the method and the system enable the time length available for selling to be more efficiently predicted, remind the seller of adding the inventory in time, and accordingly improve user experience.

As shown in fig. 8, after receiving the notification from the first server, the user terminal may display the content of the notification, so that the user can know the relevant information.

For example, after determining the time period available for sale of iphone 6S/silver/64G in warehouse 1, the first server sends a notification to the user terminal, and the user terminal displays the notification, where the displayed content may be: the time period for selling iphone 6S/silver/64G in warehouse 1 is 5 days, and timely replenishment is required.

For another example, after determining the time period available for sale of iphone 6S/gray/64G in warehouse 2, the first server sends a notification to the user terminal, and the user terminal displays the notification, where the displayed content may be: the time period available for sale in warehouse 2 for iphone 6S/gray/64G was 5 days, please replenish the supplies in time.

It will be appreciated by those skilled in the art that the components of the apparatus and steps of the method provided in the embodiments of the present application described above may be centralized on a single computing device or distributed across a network of multiple computing devices. Alternatively, they may be implemented in program code executable by a computing device. Thus, they may be stored in a memory device for execution by a computing device, or they may be separately fabricated as individual integrated circuit modules, or multiple modules or steps thereof may be fabricated as a single integrated circuit module for implementation. Thus, the present application is not limited to any specific combination of hardware and software.

Although the embodiments disclosed in the present application are described above, the descriptions are only for the convenience of understanding the present application, and are not intended to limit the present application. It will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the disclosure as defined by the appended claims.

Claims

1. A method for commodity object information processing comprises the following steps:

receiving a request message, wherein the request message comprises transaction information corresponding to a commodity identifier, inventory information, a preset deduction quantity of the commodity identifier corresponding to a user identifier and a preset deduction duration;

sending the deduction duration to a user terminal corresponding to the user identifier;

wherein the predetermined deduction amount is indicative of a predetermined sales amount of the goods or goods types in the sales activity; the predetermined deduction time is used for representing a predetermined sale time of the commodity or the commodity type in the sale activity; the deduction time length is used for reflecting the available selling time length of each commodity or commodity type corresponding to the commodity identification in each warehouse.

2. The method of claim 1, wherein generating the deduction period comprises:

and generating the deduction time length of each warehouse corresponding to each warehouse identification.

3. The method of claim 2, wherein the generating the deduction time period comprises:

4. The method of claim 2, wherein the generating the deduction time period comprises:

5. The method according to claim 1 or 3,

the commodity identification comprises a commodity object;

the generating a deduction time period comprises:

and generating the deduction duration of the commodity object in each warehouse corresponding to each warehouse identifier according to the deduction amount of the first unit time, the deduction amount of the second unit time and the inventory number corresponding to each warehouse identifier.

6. The method according to claim 1 or 3,

the goods identification comprises a goods object Stock Keeping Unit (SKU);

the generating a deduction time period comprises:

determining a first unit time deduction amount of the commodity object minimum stock unit SKU in each warehouse corresponding to each warehouse identification according to the transaction information and the stock information corresponding to the commodity identification in the request message;

determining a second unit time deduction amount of the commodity object minimum stock unit SKU in each warehouse corresponding to each warehouse identification according to the preset deduction amount and the preset deduction duration of the commodity identification;

and generating the deduction duration of the minimum stock unit SKU of the commodity object in each warehouse corresponding to each warehouse identification according to the first unit time deduction amount, the second unit time deduction amount and the stock quantity corresponding to each warehouse identification.

7. The method of claim 6, wherein said determining a first amount of time units to deduct the smallest stock-keeping unit SKU for said item in each warehouse corresponding to said each warehouse identification comprises:

determining a first unit time deduction amount of the commodity object in the warehouse corresponding to each warehouse identification according to the transaction information of the commodity object corresponding to the stock keeping unit SKU of the commodity object;

determining a deduction ratio of the minimum stock unit SKU of the commodity object according to the transaction information of the commodity object, wherein the deduction ratio represents a ratio of the minimum stock unit SKU deduction amount of each commodity object corresponding to the same commodity object;

and determining the first unit time deduction amount of the commodity object minimum stock unit SKU in the warehouse corresponding to each warehouse identification according to the first unit time deduction amount of the commodity object, the bin dividing ratio of the commodity object and the deduction ratio of the commodity object minimum stock unit SKU.

8. The method according to any one of claims 1 to 4, 7,

the inventory information further includes: the replenishment lead period corresponding to each warehouse mark;

the sending the deduction duration to the user terminal corresponding to the user identifier includes: and sending a notification message to the user terminal corresponding to the user identifier according to the deduction time length and the replenishment lead time, wherein the notification message carries the deduction time length.

9. The method according to any one of claims 1 to 4, 7,

before sending the deduction duration to the user terminal corresponding to the user identifier, the method further includes: receiving reminding condition information sent by a user terminal, wherein the reminding condition information comprises a user identifier, a commodity identifier and/or a warehouse identifier;

the sending the deduction duration to the user terminal corresponding to the user identifier includes: and returning a notification message to the user terminal corresponding to the user identifier according to the reminding condition information, wherein the notification message carries the deduction duration corresponding to the user identifier, the commodity identifier and/or the warehouse identifier in the reminding condition information.

10. The method according to any of claims 1 to 4, 7, wherein the request message is from a user terminal.

11. The method according to any of claims 1 to 4, 7, wherein the request message is from a second server.

12. An apparatus for processing merchandise object information, comprising:

the system comprises a first receiving unit, a second receiving unit and a processing unit, wherein the first receiving unit is used for receiving a request message, and the request message comprises transaction information corresponding to a commodity identifier, inventory information, a preset deduction quantity of the commodity identifier corresponding to a user identifier and a preset deduction duration;

a first sending unit, configured to send the deduction duration to a user terminal corresponding to the user identifier;

13. A server comprising a processor and a memory; wherein the memory is used for storing a program for commodity object information processing; when the program for commodity object information processing is read and executed by the processor, the following operations are executed:

14. The server according to claim 13, wherein the program for commodity object information processing, when read and executed by the processor, performs the operations of: generating a deduction duration according to the transaction information, the inventory information, the predetermined deduction quantity and the predetermined deduction duration corresponding to the commodity identification in the request message, wherein the deduction duration comprises:

15. A method of displaying merchandise object information, comprising:

sending a request message to a first server, wherein the request message comprises transaction information corresponding to the commodity identification, inventory information, a preset deduction quantity of the commodity identification corresponding to the user identification and preset deduction duration;

receiving and displaying the deduction time length sent by the first server;

the deduction duration is generated by the first server according to transaction information, inventory information, the preset deduction quantity and the preset deduction duration corresponding to the commodity identification in the request message; the inventory information includes: the method comprises the steps that a user identifier, a commodity identifier corresponding to the user identifier, one or more warehouse identifiers corresponding to the commodity identifier and inventory quantity corresponding to each warehouse identifier are obtained; the predetermined deduction amount is used to represent a predetermined sales amount of the goods or goods types in the sales activity; the predetermined deduction time is used for representing a predetermined sale time of the commodity or the commodity type in the sale activity; the deduction time length is used for reflecting the available selling time length of each commodity or commodity type corresponding to the commodity identification in each warehouse.

16. An apparatus for displaying merchandise object information, comprising:

the second sending unit is used for sending a request message to the first server, wherein the request message comprises transaction information corresponding to the commodity identification, inventory information, the preset deduction quantity of the commodity identification corresponding to the user identification and the preset deduction duration;

the first display unit is used for displaying the deduction time length;

17. A user terminal comprising a processor and a memory; wherein the memory is used for storing a program for displaying the commodity object information; when the program for displaying the commodity object information is read and executed by the processor, the following operations are executed:

receiving and displaying the deduction time length sent by the first server;

18. A method for commodity object information processing comprises the following steps:

sending a request message to a first server, wherein the request message comprises transaction information corresponding to a commodity identifier, inventory information, a preset deduction quantity of the commodity identifier corresponding to a user identifier and preset deduction duration, so that the first server generates deduction duration according to the transaction information corresponding to the commodity identifier in the request message, the inventory information, the preset deduction quantity and the preset deduction duration;

19. An apparatus for commodity object information processing, comprising:

a third sending unit, configured to send a request message to a first server, where the request message includes transaction information corresponding to a commodity identifier, inventory information, a predetermined deduction amount of the commodity identifier corresponding to a user identifier, and a predetermined deduction duration, so that the first server generates the deduction duration according to the transaction information corresponding to the commodity identifier in the request message, the inventory information, the predetermined deduction amount, and the predetermined deduction duration;

20. A server comprising a processor and a memory; wherein the memory is used for storing a program for commodity object information processing; when the program for commodity object information processing is read and executed by the processor, the following operations are executed: