CN118396686A

CN118396686A - Store information processing method, store information processing device, electronic equipment, medium and program product

Info

Publication number: CN118396686A
Application number: CN202410415014.3A
Authority: CN
Inventors: 张阁; 李晨珺; 龙准; 卢敏
Original assignee: Ausnutria Dairy China Co ltd
Current assignee: Ausnutria Dairy China Co ltd
Priority date: 2024-04-08
Filing date: 2024-04-08
Publication date: 2024-07-26

Abstract

The application discloses a method, a device, an electronic device, a medium and a program product for processing store information, wherein the method for processing the store information comprises the following steps: acquiring store information of each of registered stores, wherein the store information comprises store classification data, store tag data and store behavior data; and generating scoring information based on the store information, wherein the scoring information comprises at least two scoring values corresponding to each store, and the at least two scoring values are in one-to-one correspondence with scoring indexes of at least two different dimensions. The technical scheme of the application can improve the management effect on stores.

Description

Store information processing method, store information processing device, electronic equipment, medium and program product

Technical Field

The present application relates to the field of computer application technologies, and in particular, to a method, an apparatus, an electronic device, a medium, and a program product for processing store information.

Background

In the related art, a large number of terminal stores exist in some enterprises, and the stores are numerous and distributed in a scattered manner, so that the management of the stores is generally disordered, and therefore, the related personnel can hardly know the overall situation of each store in all stores, so that the problem of poor management effect of the stores is caused.

Disclosure of Invention

The embodiment of the application aims to provide a store information processing method, device, electronic equipment, medium and program product, which can improve the store management effect.

In a first aspect, an embodiment of the present application provides a method for processing store information, including:

Acquiring store information of each of registered stores, wherein the store information comprises store classification data, store tag data and store behavior data;

And generating scoring information based on the store information, wherein the scoring information comprises at least two scoring values corresponding to each store, and the at least two scoring values are in one-to-one correspondence with scoring indexes of at least two different dimensions.

In a second aspect, an embodiment of the present application provides a store information processing apparatus, including:

an acquisition module for acquiring store information of each of registered stores, wherein the store information includes store classification data, store tag data, and store behavior data;

And the scoring module is used for generating scoring information based on the store information, wherein the scoring information comprises at least two scoring values corresponding to each store, and the at least two scoring values are in one-to-one correspondence with scoring indexes of at least two different dimensions.

In a third aspect, an embodiment of the present application further provides an electronic device, where the electronic device includes a processor, a memory, and a program stored on the memory and executable on the processor, where the program is executed by the processor to implement the steps of the method according to the first aspect.

In a fourth aspect, embodiments of the present application also provide a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the method according to the first aspect.

In a fifth aspect, embodiments of the present application also provide a computer program product comprising computer instructions which, when executed by a processor, implement the steps of the method as described in the first aspect.

In the embodiment of the application, the scoring information is generated based on the store information, and because the scoring information comprises at least two scoring values corresponding to each store, the overall situation of each store in all stores can be conveniently known by related personnel, so that the management of the stores by related technicians based on the scoring information is facilitated, and the management effect of the stores is improved.

Drawings

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

Fig. 1 is a flow chart of a method for processing store information according to an embodiment of the present application;

fig. 2 is a schematic structural diagram of a store information processing device according to an embodiment of the present application;

Fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present application.

Detailed Description

The technical solutions of the embodiments of the present application will be clearly described below with reference to the drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which are obtained by a person skilled in the art based on the embodiments of the present application, fall within the scope of protection of the present application.

The terms first, second and the like in the description and in the claims, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged, as appropriate, such that embodiments of the present application may be implemented in sequences other than those illustrated or described herein, and that the objects identified by "first," "second," etc. are generally of a type, and are not limited to the number of objects, such as the first object may be one or more. Furthermore, in the description and claims, "and/or" means at least one of the connected objects, and the character "/", generally means that the associated object is an "or" relationship.

The method provided by the embodiment of the application is described in detail through specific embodiments and application scenes thereof with reference to the accompanying drawings.

Referring to fig. 1, fig. 1 is a flowchart of a method for processing store information according to an embodiment of the present application, where the method for processing store information includes:

step 101, acquiring store information of each registered store, wherein the store information comprises store classification data, store label data and store behavior data;

And 102, generating scoring information based on the store information, wherein the scoring information comprises at least two scoring values corresponding to each store, and the at least two scoring values are in one-to-one correspondence with scoring indexes of at least two different dimensions.

Wherein the store classification data includes at least one of: store star class, cooperative object information, weight information of stores in the affiliated area, and group information of stores;

The store tag data includes at least one of: checking tag information, surrounding place tags, shopping guide tags and broadcast category tags;

The store behavior data includes at least one of: sales behavior information, acquisition behavior information, inventory information, and blow-by information;

The scoring metrics for the at least two different dimensions include at least two of: dynamic sales capability score index, membership operation capability score index, infrastructure capability score index, and coordination degree score index.

The processing method of the store information can be applied to a server, and related personnel in the store can interact with the server through electronic equipment.

The store may be a store of various industries, for example, in the embodiment of the present application, the store is a store related to the milk powder industry.

Specifically, after store profiling registration, a portrait table of the store account number can be synchronously created; synchronously analyzing a full traffic index data table of a store, wherein the full traffic index data table comprises all expense input and effect output related data of the store, and the input comprises marketing resources, personnel, activities and expense; the output comprises the new increase of the consumption member, the retention, the conversion and the resale, the product consultation quantity, the increase of the dynamic sales quantity and the like. According to business appeal, acquisition and entry of more special data are added, and the special data mainly comprise store classification data, store label data, store behavior data and the like, such as whether the special support object is in line with the linkage alliance members, belongs to important expansion markets, and the like.

The store star level can be calculated by weight distribution according to the goods collection amount, goods collection frequency, the broadcasting area of the store and the input cost of the store.

The cooperation object information may specifically include whether a store associates a medical institution with cooperation.

The weight information of the store in the area may include whether the area where the store is located is a weight county, specifically, whether the brand side maintains a city county designated as a weight county and whether the current store location meets the weight county range may be marked in a classification manner.

The group information to which the store belongs may include whether the store is a member of a chain federation, specifically, the brand side may maintain and designate a chain system as the chain federation, and if the current store is a chain store, the home chain system needs to determine whether the home chain system accords with a chain store list to perform classification marking.

The check tag information may be tag information set after an auditing person performs auditing on a store. Specifically, the assessment tag information can be automatically updated by the system, so that channel operation management personnel are allowed to modify and maintain, and according to business rules, the stores of the weight county, the LMA and the NMA are taken as important visiting stores.

The surrounding place labels can be modified and maintained by store owner and staff, and place characteristic labels of malls, communities, hospitals and the like are added according to the surrounding places of the store.

The shopping guide label can be automatically updated by a system, a special guide is marked for the store according to the shopping guide hanging information of the store, and the shopping guide label also has the function of guiding labels and is updated synchronously by changing of shopping guide personnel.

The broadcast type label can be automatically updated by a system, and the existing broadcast type label is marked on a store according to the registration condition of the broadcast system, wherein the broadcast type label comprises three labels of special, conventional and goods shelves.

The vending behavior information may specifically include: and finally, the receiving time, the receiving quantity in the last 1,3 and 6 months, the member point time, the point listening quantity in the last 1,3 and 6 months, the official activity time and the activity quantity in the last 6 months are all counted.

The above-mentioned guest behavior information may specifically include: and finally, acquiring the time of potential clients, acquiring the number of potential clients in the last 1,3 and 6 months, acquiring the number of new purchasing members in the last 1 month, uniformly consuming the money of the new purchasing members, and finally, re-purchasing the member time and the number of re-purchasing members in the last 1,3 and 6 months.

The inventory information may specifically include: shelf display audion, 10 month of product age in the warehouse, 14 month of product age in the warehouse, infant formula large single product cut-off SKU number, average inventory turnover number of near 6 months, SKU product number of less than 30 days in inventory, last cut-off time, last cut-off duration, last 3 month cut-off record times.

The above-mentioned information of fleeing goods may specifically include: the time of finding the goods for sale, whether the goods for sale are recorded and the times of goods for sale or not in the last 1 years.

Specifically, according to the store information, the result index of the business for query and analysis can be extracted for direct display, for example: store activity, monthly receipts of nearly 3 months, sales of nearly 3 months, increase of nearly 3 months purchasing members, etc. And based on the comprehensive data of all stores and algorithm calculation, performing multi-angle scoring summary for stores, for example: and (5) automatically summarizing and scoring the comprehensive effects of the acquisition capacity, the movable sales capacity, the construction capacity, the input resources and cost, the output effect and the like of each store.

The scoring dimension includes: dynamic pin capability score, membership operation capability score, infrastructure capability score, and coordination degree score.

The scoring method for the dynamic pin capacity scoring can comprise the following steps: and (5) taking store receiving frequency, store outage and shortage records, store age health degree, store member point exchange records, and scoring store dynamic sales by weighting calculation.

The scoring method of the member operation score may include: and taking the potential customer members, adding new number of the new customer members, re-purchasing number of the members, and the member consumption amount, and scoring the store member operation by weighting calculation.

The scoring method for the building capacity scoring can comprise the following steps: and taking values of infrastructure indexes such as visiting inspection broadcast, display, fault and the like of business personnel, and scoring.

The scoring method of the matching degree score can comprise the following steps: and taking store participation in the broadcast, activities, display areas, display positions, store release strength and input resource degree to carry out weighted scoring.

In this embodiment, the scoring information is generated based on the store information, and because the scoring information includes at least two scoring values corresponding to each store, it is convenient for the relevant personnel to know the overall situation of each store in all stores, so that the relevant technical personnel can manage the stores based on the scoring information, and the management effect of the stores is improved.

Optionally, after the scoring information is generated based on the store information, the method further includes:

Based on the scoring information, corresponding suggestion information is sent to a target store corresponding to each scoring index, wherein the target store corresponding to the first scoring index comprises: the store with the score value lower than a first threshold value corresponding to the first score index is any one of the score indexes of the at least two different dimensions, and the suggestion information corresponding to the first score index comprises: and guiding the target store to improve the strategy information of the grading value of the first grading index.

In particular, suggestions can be provided for scoring increases in each capability based on the store's data representation, and follow-up actual data increases to improve the accuracy and detail of the suggestions. For example: in the scoring of the dynamic sales capability, the store age health degree of the store is lost due to the fact that more products with longer store ages exist in the store, and the proposal is to strengthen the participation of the sales promotion and quickly sell the products with large store ages; according to the quantity and frequency of the goods received by the store, whether the quantity of the goods to be transferred is properly reduced or not is judged, the frequency of the goods received is enhanced, and accordingly the goods storage is reduced, and turnover is quickened. In the operation grading of the store, if the potential customer member loses the score, the store is recommended to weight the new drawing, and the store participates in the new drawing activity more, so that the new drawing resource investment is enhanced; if the number of the purchased members is lost, the customer condition maintenance of the old members is enhanced, the regression activities of the old members are participated, and the investment of the purchased promotion resources is increased. In the grading of the infrastructure capability, if the display is performed and the goods are lost, the store is required to be managed in a strengthening way, and the goods are timely supplemented to meet the requirements of the specifications of the finished goods. In the matching degree scoring, the degree of participation of the activity and the throwing strength are lost, then the store is recommended to communicate with special business personnel, the reason for the bottom of the matching degree is found, the business personnel specially provide a solution, the store is helped to better improve the efficiency, the matching degree is improved, and more high-quality resource investment is rewarded.

Optionally, before the acquiring the store information of each of the registered stores, the method further includes:

Acquiring business license information of all stores associated with the target object based on an optical character recognition (Optical Character Recognition, OCR) method;

Verifying the business license information, and distributing corresponding business license codes to stores passing the verification to create corresponding account numbers;

creating a store information collection form under the account;

Acquiring door head image information and positioning information of a store passing verification;

And complementing the regional information in the store information collection form of the corresponding store based on the positioning information, and generating the standard naming of the corresponding store based on the head image information.

The target object may refer to the same enterprise or the same brand, so that unified management of all stores of the same enterprise or the same brand may be achieved.

Specifically, business licenses of the terminal store can be collected, OCR recognition can be performed on the business license pictures, and basic information can be recorded. And calling a related verification interface to ensure the validity of the business license, and creating a unique account number for the unique business license code. Under the unique account number, a complete store information collection form is created. And collecting the head photo and positioning information of the store on site, and calling the library to complete specific information completion of the store, such as province, city, district, street, business district and detailed address according to the positioning information and the matching map. And identifying key brand name characters in the store signboards according to the store photos, extracting groups, and synthesizing standard names of the stores according to an algorithm by a store group in the urban area of the store. Taking all characters in the top photo, removing provincial city characters, reserving brands and store names, grouping the characters into store nouns, if the top photo appears 'chain' at four corners, taking complete entry groups into chain words, if the top photo appears '()' and XXX stores are in brackets, taking word groups into store division words, adopting the city of store positioning, grouping into city words, manually filling parts by service personnel, grouping into suffix words, and finally, the standard naming of the store is as follows: city word + store noun + chain word + (store word) +suffix word. And supplementing more service attribute field values according to service requirements, wherein the values comprise management classification of terminal stores, management attribution departments of the terminal stores, responsibility business personnel of the terminal stores, and finally, the establishment of a store foundation account is completed.

In this embodiment, the uniqueness and data authenticity of each store are ensured, and input-output analysis of a single store for all business items of all institutions is satisfied, so that differentiated and fine operation management can be performed for the stores.

Optionally, the method further comprises:

In the process of supplying the target goods to the target store in the target goods supply direction, if a preset condition is met, updating the integral code of the product in the target goods from an uncountable state to an integrable state, wherein the preset condition comprises: and the target store completes identity authentication based on the anti-channel conflict code in the receiving process, and the target store is any one of the registered stores.

In particular, branding and specific product authorization may be performed for a given store; matching the products authorized for the store with suppliers of the available goods and establishing a corresponding unique transaction code associated with each other; the supplier sends out the product, the two-dimension code on the product package needs to be scanned, the system registers and creates a warehouse outlet bill to finish the warehouse outlet, the store has to finish the goods receiving and scanning actions after receiving the product, namely the two-dimension code on the same scanned code packaging box ensures the same batch of product codes, and the product is a specific batch of products sent by the corresponding supplier, the goods receiving actions can be finished and the goods receiving actions can be counted into the warehouse outlet, wherein the two-dimension code is the goods channeling preventing code. After normal receiving, the suppliers and the stores match and enjoy corresponding return rule returns. And the product can be scanned by the consumer for integrating the code, thereby enjoying the rights and interests of the consumer. The system comprises a plurality of milk powder containers, wherein each milk powder container is provided with a unique logistics code, and only products after normal goods receiving in a store are completed, the integral code on the milk powder container is marked into an integral state, and after a consumer purchases the products, the consumer can complete integral actions and sell benefits brought by integral through the two-dimensional code on the code scanning milk powder container.

Optionally, the method further comprises:

generating a rebate rule based on the rebate rule template;

acquiring rebate behavior information of the registered store within a preset time period;

and determining a rebate value corresponding to each registered store based on the rebate behavior information and the rebate rule.

Specifically, key steps and links of a store rebate strategy can be defined, the rebate strategy is defined, and a rebate rule template is created; the store rebate rule template may include: the rule of return is defined to judge which management types of stores are subject to, and which product SKUs can enjoy return, and the return is settled monthly or quarterly settled by adopting cash dispensing which can be directly presented or only wallet balance which can be used when purchasing products. Based on the rules, the specific implementation amount and the effective time range of the rebate strategy scheme are perfected, for example, the conditions of which products meet the rebate of money and which stores participate in the rebate of money are adopted, and the rebate rules are executed, so that the rebate is effectively adopted in what time period. The fee is estimated for the rebate rule scheme, and the financial budget occupying the next month is applied in advance; after selecting the rebate rule scheme, brand operators can estimate the estimated quantity of received goods of all products in the range of the rebate rule for all applicable stores according to the first 3 months of histories of the stores, and calculate the estimated cost of the whole scheme according to the rebate standard corresponding to each product of the rebate rule scheme. And in the execution process, key business actions are recorded in real time, the contents of rebate rules matched with the business actions are calculated regularly, marketing fees generated by the rebate rules are obtained, for example, all the registered goods receiving detailed tables generated in real time by the stores are obtained, the goods receiving detailed tables comprise logistics codes of goods receiving products, goods receiving time, goods receiving product SKUs, production dates of the products, delivery distributors of the products, goods receiving stores and quantity of goods receiving, and different rebate rules and corresponding rebate amounts which are matched when the goods are received by each store are calculated regularly according to the goods receiving detailed tables. And at the beginning of the next month, a summary report is provided according to the business data actually generated in the previous month and the matching rebate rule, and the proposal treatment is carried out on the expense application. And according to the result of the proposal, checking and billing the price related to the rebate rule of the store.

The embodiment of the application has at least the following beneficial effects:

The technical scheme of the application starts from the input of the terminal store at the source, establishes a new input standard, ensures the uniqueness of the terminal store in a business license, and simultaneously automatically extracts and combines the system names of the terminal store through the identification of the door head map of the terminal store and the GIS positioning of the terminal store, standardizes the naming of the terminal store and ensures the uniqueness of the establishment of the basic main data of the terminal store. In the opening stage of the terminal store, the application guarantees the authenticity and uniqueness of data, establishes data standardization, and not only reserves the data differentiation required by each BU for the business mode of the group company and the company with multiple brands of business units, but also meets the statistical analysis requirement of the group company for the whole market store.

For various brands of products operated by the store, various supply relations are supported to be created according to the needs of different enterprises, different brands of products are authorized for the store, and suppliers of the products are selected, once the supply relations of the store are determined, the products can be monitored on the full supply links of the products, so that the store can only receive normal goods-regulating products within a certain range of addresses of the store, and the possibility that the goods-channeling products enjoy various store rights is avoided.

The method and the system support free and flexible rebate rule formulation of rebate fees for each special order transaction of the store, and in the process of transferring products from brand manufacturers to distributors to the store, the brand manufacturers are required to provide a lot of assistance for terminal stores in order to better help the store to promote marketing capability, including investment of marketing fees. In the preparation and execution stage of the rebate strategy of the terminal store, the application monitors the land of the rebate rule in real time and records the complete data link, ensures the effective execution and multi-disk analysis of the rebate strategy, and is beneficial to continuously perfecting the details of the iterative rebate strategy.

In order to make the management of terminal stores more refined, the application establishes a complete label library for each independent store, wherein the label data not only has manual marking based on the familiarity degree of business personnel to the store, but also has analysis indexes generated by comprehensive calculation of big data such as goods adjusting records, movable sales records, member records and the like according to the surrounding environment of the store, and the continuous perfection of the labels enables us to perform layering classification for the store at any time according to business requirements, thereby establishing a special marketing strategy and a cost input standard and helping the store to better market brand products. Along with the continuous accumulation of big data of the existing store labels, the method can also lead the AI to learn and continuously output the effectiveness-improving strategy of the store, and the positive and negative feedback is continuously given to the AI to finish the improvement of the accuracy aiming at the actual effect-improving strategy implementation result, so that the suggestion of the AI is optimized. In the aspect of portrayal management of stores, the application decouples the portrayal data from the basic data, thereby meeting the flexible customization of business, and providing the bottom layer analysis data which supports faster, more data dimension and more data volume for the fine operation of stores, so that the business can rely on the data analysis to perform personalized operation of one store and one policy. At the same time, AI learning is introduced, and a system automation mode is gradually used to find out the optimal operation means, so as to be a method for enterprise sediment data operation.

Referring to fig. 2, fig. 2 is a schematic structural diagram of a store information processing apparatus 200 according to an embodiment of the present application, where the store information processing apparatus 200 includes:

An acquisition module 201, configured to acquire store information of each of registered stores, where the store information includes store classification data, store tag data, and store behavior data;

And a scoring module 202, configured to generate scoring information based on the store information, where the scoring information includes at least two scoring values corresponding to each store, and the at least two scoring values correspond to scoring indexes of at least two different dimensions one by one.

Optionally, the store classification data includes at least one of: store star class, cooperative object information, weight information of stores in the affiliated area, and group information of stores;

Optionally, the apparatus further comprises:

The sending module is configured to send corresponding advice information to a target store corresponding to each scoring indicator based on the scoring information, where the target store corresponding to the first scoring indicator includes: the store with the score value lower than a first threshold value corresponding to the first score index is any one of the score indexes of the at least two different dimensions, and the suggestion information corresponding to the first score index comprises: and guiding the target store to improve the strategy information of the grading value of the first grading index.

Optionally, the obtaining module 201 is further configured to obtain business license information of all stores associated with the target object based on the optical character recognition method;

the apparatus further comprises:

the verification module is used for verifying the business license information and distributing corresponding business license codes to stores passing the verification so as to create corresponding account numbers;

the creation module is used for creating a store information collection form under the account;

the acquiring module 201 is further configured to acquire head image information and positioning information of a store that passes the verification;

And the generation module is used for complementing the regional information in the store information collection form of the corresponding store based on the positioning information, and generating the standard naming of the corresponding store based on the head image information.

Optionally, the apparatus further comprises:

The updating module is used for updating the integral code of the product in the target goods from the non-integrable state to the integrable state if a preset condition is met in the process of supplying the target goods to the target store in the target goods supply direction, wherein the preset condition comprises the following steps: and the target store completes identity authentication based on the anti-channel conflict code in the receiving process, and the target store is any one of the registered stores.

Optionally, the generating module is further configured to generate a rebate rule based on the rebate rule template;

The acquiring module 201 is further configured to acquire rebate behavior information of the registered store within a preset period of time;

the apparatus further comprises:

And the determining module is used for determining the rebate value corresponding to each registered store based on the rebate behavior information and the rebate rule.

It should be noted that, the store information processing apparatus 200 provided in the embodiment of the present application can implement all technical processes of the store information processing method shown in the embodiment of fig. 1, and achieve the same technical effects, and is not described herein again for avoiding repetition.

The embodiment of the application also provides electronic equipment, which comprises: the program is executed by the processor to implement each process of the embodiment of the store information processing method shown in fig. 1, and the same technical effects can be achieved, so that repetition is avoided and redundant description is omitted.

Specifically, referring to fig. 3, an embodiment of the present application further provides an electronic device, including a bus 301, a transceiver 302, an antenna 303, a bus interface 304, a processor 305, and a memory 306.

In this embodiment, the electronic device further includes: a computer program stored on the memory 306 and executable on the processor 305. The computer program, when executed by the processor 305, may implement the respective procedures of the store information processing method as shown in the embodiment of fig. 1, and achieve the same technical effects, and for avoiding repetition, will not be described herein.

In fig. 3, a bus architecture (represented by bus 301), the bus 301 may comprise any number of interconnected buses and bridges, with the bus 301 linking together various circuits, including one or more processors, represented by processor 305, and memory, represented by memory 306. The bus 301 may also link together various other circuits such as peripheral devices, voltage regulators, power management circuits, etc., which are well known in the art and, therefore, will not be described further herein. Bus interface 304 provides an interface between bus 301 and transceiver 302. The transceiver 302 may be one element or may be a plurality of elements, such as a plurality of receivers and transmitters, providing a means for communicating with various other apparatus over a transmission medium. The data processed by the processor 305 is transmitted over a wireless medium via the antenna 303, and further, the antenna 303 receives the data and transmits the data to the processor 305.

The processor 305 is responsible for managing the bus 301 and general processing and may also provide various functions including timing, peripheral interfaces, voltage regulation, power management, and other control functions. And memory 306 may be used to store data used by processor 305 in performing operations.

Alternatively, the processor 305 may be CPU, ASIC, FPGA or a CPLD.

The embodiment of the present application further provides a computer readable storage medium, where a computer program is stored, where the computer program when executed by a processor implements each process of the embodiment of the method shown in fig. 1 and achieves the same technical effects, and is not repeated herein. Wherein the computer readable storage medium is such as ROM, RAM, magnetic or optical disk.

The embodiment of the present application further provides a computer program product, which includes computer instructions, where the computer instructions, when executed by a processor, implement each process of the embodiment of the method shown in fig. 1 and achieve the same technical effects, and in order to avoid repetition, are not described herein.

It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.

From the above description of the embodiments, it will be clear to those skilled in the art that the above-described embodiment method may be implemented by means of software plus a necessary general hardware platform, but of course may also be implemented by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the related art in the form of a software product stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk), including several instructions for causing a terminal (which may be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) to perform the method according to the embodiments of the present application.

The embodiments of the present application have been described above with reference to the accompanying drawings, but the present application is not limited to the above-described embodiments, which are merely illustrative and not restrictive, and many forms may be made by those having ordinary skill in the art without departing from the spirit of the present application and the scope of the claims, which are to be protected by the present application.

Claims

1. A method for processing store information, comprising:

2. The method of claim 1, wherein the store classification data comprises at least one of: store star class, cooperative object information, weight information of stores in the affiliated area, and group information of stores;

3. The method of claim 1, wherein after generating scoring information based on the store information, the method further comprises:

4. The method of claim 1, wherein prior to the acquiring store information for each of the registered stores, the method further comprises:

Acquiring business license information of all shops associated with the target object based on an optical character recognition method;

creating a store information collection form under the account;

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

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

generating a rebate rule based on the rebate rule template;

7. A store information processing apparatus, comprising:

8. An electronic device, comprising: a processor, a memory and a program stored on the memory and executable on the processor, which when executed by the processor, performs the steps of the method according to any one of claims 1 to 6.

9. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, implements the steps of the method according to any one of claims 1 to 6.

10. A computer program product comprising computer instructions which, when executed by a processor, implement the steps of the method of any of claims 1 to 6.