CN115423574B

CN115423574B - Order-based data processing method and related device

Info

Publication number: CN115423574B
Application number: CN202211365629.7A
Authority: CN
Inventors: 蒋能挺; 王志超; 胡仪; 刘继超
Original assignee: Shenzhen Meiyunji Network Technology Co ltd
Current assignee: Shenzhen Meiyunji Network Technology Co ltd
Priority date: 2022-11-03
Filing date: 2022-11-03
Publication date: 2023-04-28
Anticipated expiration: 2042-11-03
Also published as: CN115423574A

Abstract

The embodiment of the application provides a data processing method based on orders and a related device, wherein the method is applied to a store management server for managing store data of a target store in an electronic commerce system, and the electronic commerce system comprises an electronic commerce platform server, the store management server and user equipment associated with a seller user account associated with the target store; the method comprises the steps of obtaining first sales data of an order to be paid from an e-commerce platform server; determining that the paid historical order exists in the target commodity corresponding to the to-be-paid order, and estimating second sales data of the to-be-paid order according to the paid historical order; if the paid historical order does not exist, acquiring the real-time unit price of the target commodity, and estimating second sales data according to the real-time unit price; receiving and responding to an acquisition request for the first sales data and the second sales data from the user equipment; the first sales data and the second sales data are pushed to the user device. Thus, the seller can timely acquire the sales data of the order to be paid.

Description

Order-based data processing method and related device

Technical Field

The application belongs to the technical field of data processing for internet administration, business, finance, management, supervision or prediction purposes, and particularly relates to a data processing method based on orders and a related device.

Background

At present, for sellers in the field of cross-border e-commerce, timely acquisition and accurate calculation of profit data of a single order are very important, but in the current cross-border enterprise resource planning (Enterprise Resource Planning, ERP) system, various problems exist, so that a seller user cannot timely and accurately acquire data information of an order, and the seller cannot inquire sales data of a corresponding order; for example, an order to be paid is not paid for by a buyer, and therefore, there is no data value for the order on the e-commerce platform, and the seller user cannot see the sales data of the order, which affects the management of the sales data by the seller.

Disclosure of Invention

The embodiment of the application provides an order-based data processing method and a related device, so that sellers can timely acquire sales data of an order to be paid.

In a first aspect, embodiments of the present application provide an order-based data processing method,

the system comprises an electronic commerce platform server, a store management server and user equipment related to a seller user account, wherein the store management server is used for managing store data of a target store, the store data comprise first sales data and second sales data, and the seller user account refers to a user account related to the target store; the method comprises the following steps:

Acquiring first sales data of an order to be paid from the e-commerce platform server, wherein the first sales data comprises a head freight rate and a commission;

determining whether a paid historical order exists in the target commodity corresponding to the to-be-paid order;

if the paid historical order exists, estimating second sales data of the to-be-paid order according to sales of the paid historical order, wherein the second sales data comprises profits of the to-be-paid order;

if the paid historical order does not exist, acquiring the real-time unit price of the target commodity currently put on the shelf of the e-commerce platform server, and estimating the second sales data according to the real-time unit price;

receiving an acquisition request for the first sales data and the second sales data from the user equipment;

and pushing the first sales data and the second sales data to the user equipment in response to the acquisition request.

In a second aspect, embodiments of the present application provide an order-based data processing apparatus,

the store management server is applied to the electronic commerce system, the electronic commerce system comprises an electronic commerce platform server, a store management server and user equipment related to a seller user account, the store management server is used for managing store data of a target store, and the seller user account refers to the user account related to the target store; the device comprises:

A first obtaining unit, configured to obtain first sales data of an order to be paid from the e-commerce platform server, where the first sales data includes a head freight fee and a commission;

the determining unit is used for determining whether the paid historical order exists in the target commodity corresponding to the to-be-paid order;

a first calculation unit, configured to estimate, when the paid historical order exists, second sales data of the to-be-paid order according to sales of the paid historical order, where the second sales data includes profits of the to-be-paid order;

the second acquisition unit is used for acquiring the real-time unit price of the target commodity currently put on the shelf of the e-commerce platform server when the paid historical order does not exist;

a second calculation unit for estimating the second sales data according to the real-time unit price;

a receiving unit configured to receive an acquisition request for the first sales data and the second sales data from the user equipment;

and the sending unit is used for responding to the acquisition request and pushing the first sales data and the second sales data to the user equipment.

In a third aspect, embodiments of the present application provide an electronic device comprising a processor, a memory, a communication interface, and one or more programs stored in the memory and configured to be executed by the processor, the programs comprising instructions for performing the steps of any of the first and second aspects of the embodiments of the present application.

In a fourth aspect, embodiments of the present application provide a computer storage medium storing a computer program for electronic data exchange, wherein the computer program causes a computer to perform some or all of the steps described in any one of the first and second aspects of the present embodiments.

In a fifth aspect, embodiments of the present application provide a computer program product, wherein the computer program product comprises a non-transitory computer readable storage medium storing a computer program operable to cause a computer to perform part or all of the steps described in any one of the first and second aspects of the embodiments of the present application. The computer program product may be a software installation package.

It can be seen that in the embodiment of the present application, first sales data of an order to be paid from the e-commerce platform server is obtained; determining whether a paid historical order exists in the target commodity corresponding to the to-be-paid order; if the paid historical order exists, estimating second sales data of the to-be-paid order according to sales of the paid historical order; if the paid historical order does not exist, acquiring the real-time unit price of the target commodity currently put on the shelf of the e-commerce platform server, and estimating the second sales data according to the real-time unit price; receiving an acquisition request for the first sales data and the second sales data from the user equipment; and pushing the first sales data and the second sales data to the user equipment in response to the acquisition request. In this way, the first sales data is directly obtained from the e-commerce platform server, the second sales data is estimated through sales of paid historical orders or real-time unit price of target commodities, and further the sales data is pushed to the seller in response to the obtaining request of the seller for the sales data of the order to be paid, so that the seller can obtain the sales data of the order to be paid timely.

Drawings

In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.

Fig. 1a is a schematic structural diagram of an e-commerce system according to an embodiment of the present application;

fig. 1b is a schematic structural diagram of an electronic device according to an embodiment of the present application;

FIG. 2 is a flow chart of an order-based data processing method according to an embodiment of the present application;

fig. 3 is a schematic structural diagram of an order-based data processing apparatus according to an embodiment of the present application.

Detailed Description

The following description will first be made of the relevant terms that are referred to in this application.

And (3) sizing: is a product page, a commodity page. In brief, a listing is a product page, a title of a product, an evaluation of a product, an introduction of a product, a related product, a Q/A question and answer, and the like.

The system architecture to which the embodiments of the present application relate is described below.

Fig. 1a is an electronic commerce system 100 provided in an embodiment of the present application, where the electronic commerce system 100 includes an electronic commerce platform server 101, a store management server 102, and a user device 103 associated with a user account of a vendor, where the store management server 102 is configured to manage store data of a target store, and the user account of the vendor is a user account associated with the target store.

The present application also provides an electronic device 10, as shown in FIG. 1b, comprising at least one processor (processor) 11; a display screen 12; and a memory (memory) 13, which may also include a communication interface (Communications Interface) 15 and a bus 14. The processor 11, the display 12, the memory 13 and the communication interface 15 may communicate with each other via a bus 14. The display 12 is configured to display a user guidance interface preset in the initial setting mode. The communication interface 15 may transmit information. The processor 11 may call logic instructions in the memory 13 to perform the methods of the above embodiments.

Alternatively, the electronic device 10 may be a mobile electronic device, or may be an electronic device or other device, which is not limited in uniqueness herein.

Further, the logic instructions in the memory 13 described above may be implemented in the form of software functional units and may be stored in a computer readable storage medium when sold or used as a stand alone product.

The memory 13, as a kind of computer readable storage medium, may be configured to store a software program, a computer executable program, such as program instructions or modules corresponding to the methods in the embodiments of the present disclosure. The processor 11 executes functional applications and data processing, i.e. implements the methods of the above embodiments, by running software programs, instructions or modules stored in the memory 13.

The memory 13 may include a storage program area that may store an operating system, at least one application program required for functions, and a storage data area; the storage data area may store data created according to the use of the electronic device 10, and the like. Further, the memory 13 may include a high-speed random access memory, and may also include a nonvolatile memory. For example, a plurality of media capable of storing program codes such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a magnetic disk, or an optical disk, or a transitory storage medium may be used.

The specific method is described in detail below.

Referring to fig. 2, the present application further provides an order-based data processing method, which is applied to a store management server in the electronic commerce system, where the electronic commerce system includes an electronic commerce platform server, the store management server and user equipment associated with a user account of a seller, and the store management server is used for managing store data of a target store, and the user account of the seller refers to a user account associated with the target store; the method comprises the following steps:

step 201, obtaining first sales data of an order to be paid from the e-commerce platform server, wherein the first sales data comprises a head freight rate and a commission;

step 202, determining whether a paid historical order exists in the target commodity corresponding to the to-be-paid order;

step 203, if the paid historical order exists, estimating second sales data of the to-be-paid order according to sales of the paid historical order, wherein the second sales data comprises profit of the to-be-paid order;

step 204, if the paid historical order does not exist, acquiring the real-time unit price of the target commodity currently put on the e-commerce platform server, and estimating the second sales data according to the real-time unit price;

Step 205, receiving an acquisition request for the first sales data and the second sales data from the user equipment;

and step 206, pushing the first sales data and the second sales data to the user equipment in response to the acquisition request.

In a specific implementation, in an existing e-commerce platform (such as amazon), sales data of the to-be-paid order is not comprehensive. The order in the state to be paid is not paid by the buyer, so that the data value of the order to be paid is not available on the e-commerce platform, and the seller cannot inquire the sales data (the sales data comprises the first sales data and/or the second sales data) of the order to be paid. The sales data for an order includes head freight rate, commission, product amount, etc. (there is also a rating if the order belongs to the rating order).

In one possible embodiment, the acquiring the real-time unit price of the target commodity currently put on the e-commerce platform server and estimating the profit of the to-be-paid order according to the real-time unit price includes: acquiring a target online commodity price list of the target store from the e-commerce platform server, wherein the target online commodity price list comprises a plurality of online commodities and prices corresponding to the online commodities; and inquiring the target online commodity price list according to a preset commodity naming rule and/or the name of the target commodity to obtain the real-time unit price of the target commodity.

Specifically, the obtaining, from the e-commerce platform server, the target online commodity price list of the target store includes: acquiring an online commodity price list set maintained by the e-commerce platform server, wherein the online commodity price list set comprises N online commodity price lists, the N online commodity price lists are in one-to-one correspondence with N stores, and the N stores comprise the target stores; acquiring target site information corresponding to the to-be-paid order, wherein the target site information is related to the target store; determining the target store according to target site information; and screening the target online commodity price list from the online commodity price list according to the mapping relation between the target store and the target online commodity price list.

In a specific implementation, sales data of all shops are stored in an e-commerce platform server, when real-time unit price of the target commodity is required to be inquired, the shop management server sends a second acquisition request for the target online commodity price table to the e-commerce platform server, and after the e-commerce platform server receives the second acquisition request, the target online commodity price table is sent to the shop management server.

Or the store management server acquires the online commodity price list set once every preset time, wherein the online commodity price list set comprises a plurality of online commodity price lists corresponding to a plurality of stores, and the store management server determines the target store from the stores by acquiring target site information corresponding to the to-be-paid order, so that the target online commodity price list is acquired.

The shop management server queries the real-time unit price of the target commodity from the target online commodity price list according to the name of the target commodity; or the shop management server analyzes the name of the target commodity according to the preset commodity naming rule to obtain the catalog coordinate to which the name of the target commodity belongs, and the real-time unit price of the first commodity at the real-time catalog coordinate is obtained, namely the real-time unit price of the target commodity.

It can be seen that in this embodiment, the real-time unit price of the target commodity is directly obtained through a preset naming rule or the name of the commodity, so as to calculate the profit of the to-be-paid order.

In one possible embodiment, when the to-be-paid order is converted into a paid order, acquiring an actual payment price of the paid order; comparing the actual payment price with the real-time unit price or historical price; if the actual payment price is consistent with the real-time unit price or the historical price, determining that the profit calculation is accurate; if the actual payment price does not coincide with the real-time unit price or the historical price, the profit is recalculated based on the actual payment price and the first sales data.

Illustratively, the historical price is a unit price of the target commodity in the paid historical order.

In particular implementations, the order to be paid is an order placed by the buyer but not paid. Since the order to be paid is generated when the buyer places an order, that is, when the buyer places an order, the unit price of the commodity placed by the order is a, and when the store management server pulls the real-time unit price or the historical price of the target commodity to the electronic commerce platform server, the real unit price of the commodity becomes B when the data is obtained due to time lag of data pulling. However, when the buyer pays (for example, after one week), the buyer pays according to the unit price a, and at this time, since the unit price B pulled by the store management server is different from the unit price a actually paid by the buyer, the actual profit is calculated according to a, and the estimated value of the store management server is calculated according to B, the estimated value is inaccurate.

Specifically, for the above situation, the paid order has complete data in the e-commerce platform server, so when the complete paid order data is obtained from the e-commerce platform server after the user pays, whether the actual payment price in the paid order is consistent with the real-time unit price or the historical price is compared first, if so, the prediction of profit is proved to be accurate, and if not, the profit needs to be calculated again according to the actual payment price to correct the data.

It can be seen that, in this embodiment, in order to avoid errors in estimated profit, a verification mechanism is provided to verify the estimated profit by using the actual payment price, so as to ensure the accuracy of the profit finally obtained.

In one possible embodiment, the method further comprises: if the to-be-paid order is an evaluation order, determining an evaluation fee of the evaluation order; and recording the evaluation fee, and calculating the profit according to the evaluation fee, the first sales data and the second sales data at preset time.

In particular implementations, for the head freight and commission, the store management server may immediately obtain data from the e-commerce platform server (e.g., by accessing an amazon server interface from amazon online sharing).

The preset time may be, for example, one or more timing nodes, such as a fixed time of day, week or month, a fixed time interval, an irregular random acquisition, or a regular time interval (e.g., adjusted according to different seasons, sales, off-season, etc.).

For example, the evaluation fee may be immediately marked as an evaluation order when the evaluation fee is generated, and the evaluation fee is immediately synchronized to a data module in the store management server for presentation (the data module is used for pushing the data to be currently displayed to the user equipment), and then pushed to the financial module for calculating profit data at a preset time, so that the data update is faster.

It can be understood that, unlike a normal order, the evaluation order is that the user obtains the commodity for free and experiences the commodity for free, but the evaluation order is classified as a normal trade order on the e-commerce platform, i.e. the buyer purchases, the seller delivers the commodity, but the seller pays the principal and commission of the buyer in private, so that the data of principal and commission corresponding to the order needs to be obtained, and meanwhile, the cost of the head process needs to be obtained, but only the cost of the head process and commission need to be obtained from other places in the e-commerce platform. The principal refers to the payment price of the assessment order.

The procedure of evaluating the order is as follows: the seller asks the evaluator A to evaluate the product B, the evaluator A pays principal of the product to purchase the product, after the seller sees the order, the seller returns principal to the evaluator A, the evaluator A evaluates the product, and when the seller sees the good and confirms that the good is effective, the evaluator A pays the commission. Therefore, the principal and the commission are paid in two steps, when the finance pays money, a part of the principal is paid in the last month, and the other part of the principal is paid in the month, if the bidding is adopted, namely, the principal pays money together with the commission, the financial data of the last month and the month are inaccurate, and the principal and the commission are separately recorded in a shop management server, and the corresponding time is filled in, so that the management is convenient.

It can be seen that, in this embodiment, the profit is further calculated by marking the to-be-paid order and obtaining the evaluation fee data in the to-be-paid order.

In one possible embodiment, the method further comprises: and if the refund message aiming at the evaluation order is detected, sending a refund prompt to the user equipment, wherein the refund prompt is used for indicating that the evaluation order is refunded maliciously.

In a specific implementation, the following mechanisms exist in the e-commerce platform: if the buyer considers that the received product is not satisfactory (possibly malicious or possibly problematic), the buyer can apply for refund, if the electronic commerce platform checks the product correctly, the electronic commerce platform refunds the buyer, the buyer can return the product within 30 days, but the buyer also possibly does not return the product (the normal business condition is not returned). It is therefore desirable to design refund alerts to alert sellers, and in particular to evaluate orders, so that sellers learn about the corresponding situation to assist sellers in making their decisions.

In the evaluation order, the seller pays the principal and the commission to the buyer, and if the buyer applies for refund maliciously, the e-commerce platform refunds one principal to the buyer, which is equivalent to the buyer obtaining two principal and one commission, and adverse effects can be generated for the seller. Thus, in the event that a customer applies maliciously for refund in an evaluation order, the seller needs to be alerted to assist the seller in making a policy, e.g., the seller may choose not to cooperate with the customer later, etc.

It can be seen that, in this embodiment, the refund reminder is designed to remind the seller, especially the refund reminder for evaluating the order, so that the seller knows the corresponding situation to assist the seller in making a corresponding decision.

In one possible embodiment, the method further comprises: obtaining a refund order data set from the e-commerce platform server at intervals of preset time, wherein the refund order data set comprises a plurality of order data corresponding to a plurality of evaluation orders in a refund state; determining target order data corresponding to the evaluation order from the plurality of order data; updating the second sales data according to the target order data; and refund marking is carried out on the evaluation order.

In a specific implementation, the e-commerce platform server marks a refund order data set in the order data set once, and the store management server may acquire the refund order data set from an e-commerce platform server interface at preset time intervals (may be 10 minutes, 15 minutes, half an hour, etc., and no unique limitation is made here). And the store management server determines the target order data from the refund order data set, updates profit data according to the target order data, ensures that the profit data are accurate, and makes refund marks on the store management server.

Preferably, the preset time is 15 minutes. Reasons for acquiring a refund order data set once every 15 minutes: the limitations of the e-commerce platform server interface and the pressure of the store management server. For the user, the shorter this time interval is, the better, because the user needs to know the order status of the store at a high frequency. The store management server automatically accesses the e-commerce platform server interface once for 15 minutes to acquire order data, and then performs data update (data dynamic update) without manual access of a user.

The user needs to know the order situation of each store at high frequency, and timely find out abnormal orders and sales situations. Abnormal situations such as: under a large selling scene, hundreds of orders can be given out in one minute, if the coupons are misplaced or priced, the books are lost, and if the order situation is updated too slowly, the order situation of the user needs to be updated as soon as possible, so that the user can manage the orders conveniently.

It can be seen that in this embodiment, the refund order data set is acquired at preset intervals, and the target order is marked to classify the refund order.

In one possible embodiment, the method further comprises: data analysis is carried out on the sales condition of the target store so as to determine the off-season and the rich season of the target store; setting the preset time as a first preset time when the season is off; and setting the preset time as a second preset time in the busy season.

Because the store management server needs to acquire order data from the e-commerce platform server at high frequency and push the order data to a user; however, there may be situations where the user needs to acquire order data at a high frequency for a particular time period and not at another time period.

Therefore, the light season analysis of sales is performed for a single site (store), and it is analyzed that the target store belongs to the light season in the first period and belongs to the heavy season in the second period. The store management server provides a dynamic update strategy, the frequency of order update is a first frequency (namely the preset time is set to be a first preset time) in the off-season (the first period), the frequency of order update is a second frequency (the preset time is set to be a second preset time) in the on-season (the second period), the second frequency is larger than the first frequency, and the first preset time is larger than the second preset time. Thus, the user requirements can be met.

It can be seen that, in this embodiment, by predicting the off-season and the on-season of the store, and further setting different order data acquisition frequencies according to the off-season and the on-season, order data is acquired according to actual needs, and unnecessary pressure applied to the store management server can be avoided while the user needs are satisfied.

The foregoing description of the embodiments of the present application has been presented primarily in terms of a method-side implementation. It will be appreciated that the mobile electronic device, in order to achieve the above-described functionality, comprises corresponding hardware structures and/or software modules that perform the respective functions. Those of skill in the art will readily appreciate that the elements and algorithm steps described in connection with the embodiments disclosed herein may be embodied as hardware or a combination of hardware and computer software. Whether a function is implemented as hardware or computer software driven hardware depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.

The embodiment of the application may divide the functional units of the electronic device according to the above method example, for example, each functional unit may be divided corresponding to each function, or two or more functions may be integrated in one processing unit. The integrated units may be implemented in hardware or in software functional units. It should be noted that, in the embodiment of the present application, the division of the units is schematic, which is merely a logic function division, and other division manners may be implemented in actual practice.

Referring to fig. 3, the present application further provides an order-based data processing apparatus 30, which is applied to a store management server in the electronic commerce system, where the electronic commerce system includes an electronic commerce platform server, the store management server and user equipment associated with a user account of a vendor, and the store management server is configured to manage store data of a target store, and the user account of the vendor is a user account associated with the target store; the device comprises:

a first obtaining unit 301, configured to obtain first sales data of an order to be paid from the e-commerce platform server, where the first sales data includes a head freight fee and a commission;

A determining unit 302, configured to determine whether a paid historical order exists in the target commodity corresponding to the to-be-paid order;

a first calculation unit 303, configured to estimate, when the paid historical order exists, second sales data of the to-be-paid order according to sales of the paid historical order, where the second sales data includes profits of the to-be-paid order;

a second obtaining unit 304, configured to obtain, when the paid historical order does not exist, a real-time unit price of the target commodity currently on the e-commerce platform server;

a second calculation unit 305 for estimating the second sales data according to the real-time unit price;

a receiving unit 306, configured to receive an acquisition request for the first sales data and the second sales data from the user equipment;

and a sending unit 307, configured to push the first sales data and the second sales data to the user equipment in response to the acquisition request.

In one possible embodiment, the acquiring the real-time unit price of the target commodity currently on the e-commerce platform server, the second acquiring unit 304 is specifically configured to: acquiring a target online commodity price list of the target store from the e-commerce platform server, wherein the target online commodity price list comprises a plurality of online commodities and prices corresponding to the online commodities; the aspect of the second sales data of the to-be-paid order estimated according to the real-time unit price, the second calculation unit 305 is specifically configured to: and inquiring the target online commodity price list according to a preset commodity naming rule and the name of the target commodity to obtain the real-time unit price of the target commodity.

In one possible embodiment, in the aspect of acquiring the target online commodity price list of the target store from the e-commerce platform server, the second acquiring unit 304 is specifically configured to: acquiring an online commodity price list set maintained by the e-commerce platform server, wherein the online commodity price list set comprises N online commodity price lists, the N online commodity price lists are in one-to-one correspondence with N stores, and the N stores comprise the target stores; acquiring target site information corresponding to the to-be-paid order, wherein the target site information is related to the target store; determining the target store according to target site information; and screening the target online commodity price list from the online commodity price list according to the mapping relation between the target store and the target online commodity price list.

In one possible embodiment, the apparatus further comprises: the determining unit 302 is configured to determine an evaluation fee of the evaluation order when the to-be-paid order is the evaluation order; a recording unit for recording the evaluation fee; and the third calculation unit is used for calculating the profit according to the evaluation fee at preset time.

In one possible embodiment, the apparatus further comprises: a detection unit configured to detect a refund message for the evaluation order; the sending unit 307 is configured to send a refund alert to the user equipment when a refund message for the evaluation order is detected, where the refund alert is used to indicate that the evaluation order is refunded maliciously.

In one possible embodiment, the apparatus further comprises: a third obtaining unit, configured to obtain a refund order data set from the e-commerce platform server at intervals of a preset time, where the refund order data set includes a plurality of order data corresponding to a plurality of evaluation orders in a refund state; the determining unit 302 is configured to determine target order data corresponding to the evaluation order from the plurality of order data; an updating unit, configured to update the second sales data according to the target order data; and the marking unit is used for carrying out refund marking on the evaluation order.

In one possible embodiment, the method further comprises: the analysis unit is used for carrying out data analysis on the sales condition of the target store so as to determine the off-season and the rich-season of the target store; a setting unit, configured to set the preset time to a first preset time when the season is off; and setting the preset time as a second preset time in the busy season.

The above embodiments may be implemented in whole or in part by software, hardware, firmware, or any other combination. When implemented in software, the above-described embodiments may be implemented in whole or in part in the form of a computer program product. The computer program product comprises one or more computer instructions or computer programs. When the computer instructions or computer program are loaded or executed on a computer, the processes or functions described in accordance with the embodiments of the present application are all or partially produced. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions may be transmitted from one website site, computer, server, or data center to another website site, computer, server, or data center by wired or wireless means. The computer readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. that contains one or more sets of available media. The usable medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium. The semiconductor medium may be a solid state disk.

The embodiment of the application also provides a computer storage medium, where the computer storage medium stores a computer program for electronic data exchange, where the computer program causes a computer to execute part or all of the steps of any one of the methods described in the embodiments of the method, where the computer includes an electronic device.

Embodiments of the present application also provide a computer program product comprising a non-transitory computer-readable storage medium storing a computer program operable to cause a computer to perform some or all of the steps of any one of the methods described in the method embodiments above. The computer program product may be a software installation package, said computer comprising an electronic device.

It should be understood that, in various embodiments of the present application, the sequence numbers of the foregoing processes do not mean the order of execution, and the order of execution of the processes should be determined by the functions and internal logic thereof, and should not constitute any limitation on the implementation process of the embodiments of the present application.

In the several embodiments provided in the present application, it should be understood that the disclosed method, apparatus, and system may be implemented in other manners. For example, the device embodiments described above are merely illustrative; for example, the division of the units is only one logic function division, and other division modes can be adopted in actual implementation; for example, multiple units or components may be combined or may be integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.

The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may be physically included separately, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in hardware plus software functional units.

The integrated units implemented in the form of software functional units described above may be stored in a computer readable storage medium. The software functional unit is stored in a storage medium, and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: u disk, removable hard disk, magnetic disk, optical disk, volatile memory or nonvolatile memory. The nonvolatile memory may be a read-only memory (ROM), a Programmable ROM (PROM), an Erasable PROM (EPROM), an electrically Erasable EPROM (EEPROM), or a flash memory. The volatile memory may be random access memory (random access memory, RAM) which acts as an external cache. By way of example but not limitation, many forms of random access memory (random access memory, RAM) are available, such as Static RAM (SRAM), dynamic Random Access Memory (DRAM), synchronous Dynamic Random Access Memory (SDRAM), double data rate synchronous dynamic random access memory (DDR SDRAM), enhanced Synchronous Dynamic Random Access Memory (ESDRAM), synchronous Link DRAM (SLDRAM), and direct memory bus RAM (DR RAM). Etc. various media in which program code may be stored.

Although the present invention is disclosed above, the present invention is not limited thereto. Variations and modifications, including combinations of the different functions and implementation steps, as well as embodiments of the software and hardware, may be readily apparent to those skilled in the art without departing from the spirit and scope of the invention.

Claims

1. The data processing method based on the order is characterized by being applied to a store management server in an electronic commerce system, wherein the electronic commerce system comprises an Amazon server which does not store an order to be paid, user equipment which is associated with the store management server and a seller user account, the store management server is used for managing store data of a target store, the store data comprises first sales data and second sales data, and the seller user account refers to a user account which is associated with the target store; the method comprises the following steps:

obtaining first sales data of an order to be paid from the Amazon server, the first sales data comprising a head freight rate and a commission;

if the paid historical order does not exist, acquiring the real-time unit price of the target commodity currently put on the Amazon server, and estimating the second sales data according to the real-time unit price, wherein the method comprises the following steps:

the store management server obtaining the online commodity price list set maintained by the amazon server at intervals of preset time comprises: sending a second acquisition request to the Amazon server, and receiving an online commodity price list set sent by the Amazon server aiming at the second acquisition request, wherein the online commodity price list set comprises N online commodity price lists, the N online commodity price lists are in one-to-one correspondence with N stores, and the N stores comprise the target stores;

acquiring target site information corresponding to the to-be-paid order, wherein the target site information is associated with the target store; determining the target store according to the target site information;

according to the mapping relation between the target store and the target online commodity price list, the target online commodity price list is screened out from the online commodity price list; the target online commodity price list comprises a plurality of online commodities and prices corresponding to the online commodities;

The shop management server inquires the real-time unit price of the target commodity from the target online commodity price list according to the name of the target commodity; or the shop management server analyzes the name of the target commodity according to a preset commodity naming rule to obtain a catalog coordinate to which the name of the target commodity belongs, and obtains the real-time unit price of the target commodity at the real-time catalog coordinate;

and calculating the second sales data according to the real-time unit price;

pushing the first sales data and the second sales data to the user equipment in response to the acquisition request;

when the to-be-paid order is converted into a paid order, acquiring the actual payment price of the paid order; comparing the actual payment price with the real-time unit price; if the actual payment price is consistent with the real-time unit price, determining that the profit calculation is accurate; and if the actual payment price is inconsistent with the real-time unit price, recalculating the second sales data according to the actual payment price and the first sales data.

2. The method according to claim 1, wherein the method further comprises:

if the to-be-paid order is an evaluation order, determining an evaluation fee of the evaluation order;

and recording the evaluation fee, and calculating the profit according to the evaluation fee and the first sales data at preset time.

3. The method according to claim 2, wherein the method further comprises:

and if the refund message aiming at the evaluation order is detected, sending a refund prompt to the user equipment, wherein the refund prompt is used for indicating that the evaluation order is refunded maliciously.

4. A method according to claim 3, characterized in that the method further comprises:

obtaining a refund order data set from the Amazon server at intervals of preset time, wherein the refund order data set comprises a plurality of order data corresponding to a plurality of evaluation orders in a refund state;

determining target order data corresponding to the evaluation order from the plurality of order data;

updating the second sales data according to the target order data;

and refund marking is carried out on the evaluation order.

5. The method according to claim 4, wherein the method further comprises:

Data analysis is carried out on the sales condition of the target store so as to determine the off-season and the rich season of the target store;

setting the preset time as a first preset time when the season is off;

and setting the preset time as a second preset time in the busy season.

6. The data processing device based on the order is characterized by being applied to a store management server in an electronic commerce system, wherein the electronic commerce system comprises an Amazon server which does not store an order to be paid, user equipment which is associated with the store management server and a seller user account, the store management server is used for managing store data of a target store, the store data comprises first sales data and second sales data, and the seller user account refers to a user account which is associated with the target store; the device comprises:

a first obtaining unit, configured to obtain first sales data of an order to be paid from the amazon server, where the first sales data includes a head freight rate and a commission;

A second obtaining unit, configured to obtain, when the paid history order does not exist, an online commodity price list set maintained by the amazon server at intervals of a preset time, where the second obtaining unit includes: sending a second acquisition request to the Amazon server, and receiving an online commodity price list set sent by the Amazon server aiming at the second acquisition request, wherein the online commodity price list set comprises N online commodity price lists, the N online commodity price lists are in one-to-one correspondence with N stores, and the N stores comprise the target stores; acquiring target site information corresponding to the to-be-paid order, wherein the target site information is associated with the target store; determining the target store according to the target site information; according to the mapping relation between the target store and the target online commodity price list, the target online commodity price list is screened out from the online commodity price list; the target online commodity price list comprises a plurality of online commodities and prices corresponding to the online commodities; the shop management server inquires from the target online commodity price list according to the name of the target commodity to obtain the real-time unit price of the target commodity; or the shop management server analyzes the name of the target commodity according to a preset commodity naming rule to obtain a catalog coordinate to which the name of the target commodity belongs, and obtains the real-time unit price of the target commodity at the real-time catalog coordinate;

a sending unit, configured to push, to the user equipment, the first sales data and the second sales data in response to the acquisition request;

7. An electronic device comprising a processor, a memory and a communication interface, and one or more programs stored in the memory and configured to be executed by the processor, the programs comprising instructions for performing the steps in the method of any of claims 1-5.

8. A computer-readable storage medium, characterized in that a computer program for electronic data exchange is stored, wherein the computer program causes a computer to execute the instructions of the steps in the method according to any one of claims 1-5.