E-commerce activity generation method and system

Abstract

The present application discloses an e-commerce activity generation method and system, the method comprising: setting a polling cycle based on preset factors, the preset factors being factors affecting the efficiency of performing polling operations on a target activity, the target activity being an e-commerce activity with an automatic continuation mark, the polling cycle being the time interval between performing two adjacent polling operations, the time interval being greater than 0; performing a polling operation on the activity status of the target activity on an e-commerce platform based on the polling cycle; when the polling result is that the target activity is in an end state, obtaining activity data corresponding to the target activity based on the e-commerce platform, and generating a copy activity corresponding to the target activity based on the activity data; and performing a publishing operation on the copy activity. The present application can accurately and quickly perform e-commerce activity creation operations, ensure that e-commerce activities can continue to take effect for a long time, reduce manual operation costs, and improve store marketing effects.

Description

Technical Field

[0001] The present application relates to the field of computer technology, and in particular to a product publishing method based on a sub-account, an e-commerce activity generating method, and a corresponding system. Background Art

[0002] With the development of cross-border business, e-commerce ERP systems developed based on ERP software have gradually developed. E-commerce ERP systems can be deeply connected with e-commerce platforms, helping small and medium-sized e-commerce users to uniformly manage their overseas stores, solving the obstacles caused by language differences, and enabling one operator to manage hundreds of e-commerce stores at the same time, greatly improving the efficiency of store operations.

[0003] The e-commerce ERP system accesses and controls the stores on the e-commerce platform through established rules and processes dynamic data from all aspects of store operations. The data management is complex and it must also meet the operational convenience needs of various types of users. Therefore, the various functional modules of the existing commercialized e-commerce ERP systems are still in the stage of gradual functional updating and improvement. The functional algorithms and rules formulated by various software companies when developing their own e-commerce ERP systems are basically different. As user needs change, new versions of each functional module will continue to be developed to be compatible with more usage scenarios.

[0004] The current e-commerce ERP system usually sets one or more claim rules based on an account, and executes product release operations by applying the claim rules to process product data. However, the above method of setting claim rules is too simple, and for users who manage a large number of stores, it is not possible to flexibly adjust or apply specific claim rules to stores; and the above method of setting claim rules cannot adapt to the current operating model of e-commerce companies, and cannot allocate corresponding account permissions according to management roles within e-commerce companies, which can easily cause operational confusion during the product release process, thereby reducing the efficiency of product release.

[0005] In addition, in the process of managing e-commerce activities in the e-commerce ERP system, e-commerce sellers usually increase product sales by setting up marketing activities for products. However, the current e-commerce platform has a time limit for the effectiveness of a single marketing activity, that is, the marketing activity will automatically end after the deadline. Therefore, if the seller wants the above marketing activity to continue to be effective, he can only manually create a new marketing activity with the same activity data after the original marketing activity ends. This activity creation method requires sellers to frequently check the activity status of the original marketing activity and perform the creation operation. The operation process is cumbersome and it is easy to cause the end time of the original marketing activity and the creation time of the new marketing activity to be long, affecting the user's purchasing experience; and, it may also cause the activity data of the original marketing activity and the new marketing activity to be inconsistent due to human errors, thereby affecting the marketing effect.

[0006] Other technical issues related to this application will be further described later. The above content is only used to assist in understanding the technical solution of this application, and does not mean that all of the above content is prior art. Summary of the invention

[0007] The main purpose of the present invention is to provide a method and system for releasing goods based on sub-accounts, which can flexibly adjust or apply specific claim rules for stores, and set accounts for managing claim rules according to the management roles of e-commerce enterprises, thereby improving the efficiency of product release; in addition, the present application also provides an e-commerce activity generation method and system for managing e-commerce activities in an e-commerce ERP system, which can accurately and quickly execute e-commerce activity creation operations, ensure that e-commerce activities can continue to be effective for a long time, reduce manual operation costs, and improve store marketing effects.

[0008] To achieve the above objectives, the present application proposes a method and system for publishing goods based on sub-accounts, the method comprising: Step S1: Create a master account and associate the master account with multiple authorized stores on the e-commerce platform; Step S2: Setting at least one sub-account based on the main account, and assigning an authorized store associated with the main account to the sub-account; Step S3: creating a first public rule based on the main account, wherein the first public rule is synchronized to each of the sub-accounts when applied to the authorized store; and Step S4: determining a target sub-account in the sub-accounts, and creating a second public rule and a personal rule based on the target sub-account, wherein the second public rule can be viewed or applied by the main account and any sub-account, and the personal rule can only be viewed or applied by the target sub-account; Step S5: Acquire commodity release data, process the commodity release data based on any one of the first public rule, the second public rule or the personal rule to obtain target commodity data, and perform a commodity release operation based on the target commodity data.

[0009] Other features and technical effects of this application are described in the following part of the specification. The technical problem solving ideas and related product design solutions of this application are: Typically, current e-commerce ERP systems usually set one or more claim rules based on one account, and execute product release operations by applying the claim rules to process product data. However, for sellers who need to manage a large number of stores, setting one claim rule is difficult to apply to all stores, and setting multiple claim rules may affect operational efficiency due to the large number of claim rules. In addition, in practice, there are situations where multiple people in e-commerce companies perform product release operations, and the current model of managing multiple stores with a single account cannot assign corresponding permissions to multiple management roles of e-commerce companies. Multiple people log in to a single account at the same time to set and apply claim rules, which can easily cause operational confusion during the product release process, thereby reducing product release efficiency.

[0010] The applicant has found that, on the basis of the main account for managing the claim rules, setting up a sub-account associated with the main account, and setting different attributes for the claim rules set for the main account and the sub-account can effectively improve the management flexibility of the claim rules.

[0011] For example, set up multiple sub-accounts affiliated to the main account, and assign some authorized stores associated with the main account to each sub-account, so as to share the management responsibilities of the main account for multiple authorized stores through the sub-accounts. Then, there are differences in attributes and functions between the claim rules created based on the main account and the sub-account: the main account is used to create the first public rule, which will be synchronized to each sub-account when applied to the authorized store, and the sub-account can view, apply and edit the first public rule; the sub-account is used to create personal rules, which can only be viewed and applied by the sub-account that created it, and other sub-accounts and the main account cannot view the personal rules created by a sub-account, so as to avoid the situation where the personal rules created by the sub-account interfere with other accounts or are interfered with by other accounts. It can be understood that for multiple stores with the same operating model, they can be assigned to a single sub-account to uniformly manage the claim rules, thereby improving management efficiency.

[0012] On this basis, the applicant conducted further research and found that for some e-commerce companies, the management roles for setting claim rules include not only managers (superiors) and salesmen (subordinates), but also supervisors (middle-level) between managers and salesmen. In this application, the manager corresponds to the main account, the salesman corresponds to the sub-account, and the functions of the supervisor and the salesman are highly similar. The main difference is that at certain specific times, the supervisor needs to issue claim rules with a public nature, and then apply them uniformly to multiple authorized stores. It can be understood that if the account type corresponding to the supervisor is set, the account type will be redundant and the operating cost of the system will increase. Therefore, the applicant proposed to give some sub-accounts the authority to create a second public rule, which can be viewed and applied by other sub-accounts and the main account, so that the sub-account can meet the job requirements of the supervisor level without the need to set up additional redundant account types.

[0013] In this way, the sub-account-based product release method provided by the present application, by setting up multiple sub-accounts affiliated with the main account, classifies and manages the claim rules of stores with different operating modes, thereby realizing flexible adjustment or application of specific claim rules for stores; and, by setting up the main account and sub-account to respectively create claim rules with different attributes, the main account and sub-account can be highly corresponding to the management roles of the e-commerce enterprise, ensuring that the various management roles will not interfere with each other when participating in the product release process, thereby improving the efficiency of product release.

[0014] Furthermore, with respect to the e-commerce ERP system managing e-commerce activities, the present application also proposes an e-commerce activity generation method and system, the method comprising: Step M1: setting a polling cycle based on preset factors, wherein the preset factors are factors affecting the efficiency of performing polling operations on a target activity, the target activity is an e-commerce activity with an automatic continuation mark, and the polling cycle is a time interval between performing two adjacent polling operations, and the time interval is greater than 0; Step M2: performing a polling operation on the activity status of the target activity on the e-commerce platform based on the polling cycle; Step M3: when the polling result indicates that the target activity is in an ended state, first activity data corresponding to the target activity is acquired based on the e-commerce platform, and a copy activity corresponding to the target activity is generated according to the activity data; Step M4: Execute a publishing operation for the copy activity.

[0015] Other features and technical effects of this application are described in the following part of the specification. The technical problem solving ideas and related product design solutions of this application are: In daily e-commerce operations, e-commerce sellers increase product sales by setting up marketing activities for their products. However, current e-commerce platforms have time limits for marketing activities. For example, e-commerce platforms limit the maximum effective time of a single marketing activity to 3 days, which means that the marketing activity will automatically expire 3 days after it is created, and sellers cannot set automatic extension or repeated effectiveness of the marketing activity.

[0016] In the above situation, the seller can only copy the activity data of the original marketing activity and then manually create a new marketing activity that is exactly the same as the original marketing activity, so as to achieve the purpose of extending the effective time of the original marketing activity. However, the above method of creating activities has many disadvantages: for example, the seller needs to frequently manually check the activity status of each marketing activity and perform activity creation operations for marketing activities that are in the end state, and the operation process is relatively cumbersome; when there are a large number of marketing activities that need to be managed, the seller may miss the corresponding activity creation operation after the end of individual marketing activities, or create the same activity after a long interval, which seriously affects the buyer's purchase experience; and when the seller manually copies the activity data of the original marketing activity, due to human error, the copying error or omission of copying part of the activity data may cause the created new marketing activity to be inconsistent with the original marketing activity, thereby affecting the store marketing effect.

[0017] On this basis, the applicant found that the automatic copying and creation of e-commerce activities that need to be extended based on the e-commerce ERP system can replace the process of manual creation of activities, thereby achieving the purpose of timely extending the effectiveness of e-commerce activities.

[0018] Specifically, the seller selects the e-commerce activities that need to be automatically extended and sets the corresponding mark. The e-commerce ERP system performs a polling operation on the marked e-commerce activities according to the pre-set polling cycle to check whether the above e-commerce activities are in the end state. If it is determined that the above e-commerce activities are in the end state, a new e-commerce activity that is the same as the original e-commerce activity is generated based on the activity data of the original e-commerce activity, thereby achieving the purpose of extending the effective time of the e-commerce activity.

[0019] Furthermore, the applicant found that when the e-commerce ERP system continuously polls multiple e-commerce activities, it will cause a high operating cost to the system, which may affect the execution effect of the system on other programs. Therefore, the applicant proposes that according to the influencing factors related to the efficiency of the above-mentioned polling operation, a corresponding polling cycle is set so that the e-commerce ERP system can leave a corresponding time period between the execution of two adjacent polling operations, which can reduce system resource consumption and reduce the impact of the above-mentioned polling operation on other system programs. It can be understood that the above-mentioned influencing factors include the number of marked e-commerce activities, network speed, e-commerce platform interface efficiency and e-commerce ERP system thread. Among them, the higher the number of marked e-commerce activities, the longer the time required to perform the polling operation, and the lower the polling operation efficiency, so the polling cycle also needs to be extended accordingly, that is, the number of marked e-commerce activities is positively correlated with the polling cycle; it can be understood that the network speed, e-commerce platform interface efficiency and e-commerce ERP system thread are all negatively correlated with the polling cycle.

[0020] In addition, the applicant also found that when a user manually creates an e-commerce activity in the e-commerce ERP system, the activity data of the e-commerce activity is transmitted to the e-commerce platform through the e-commerce ERP system, and then the e-commerce activity is released, the parameters of the e-commerce activity may be adjusted directly on the e-commerce platform according to actual needs, resulting in inconsistency between the activity data on the e-commerce platform and the activity data on the e-commerce ERP system. Therefore, in this application, before automatically creating a new e-commerce activity, the e-commerce ERP system will first synchronize the activity data of the original e-commerce activity on the e-commerce platform to the e-commerce ERP system to ensure that the new e-commerce activity created by the e-commerce ERP system is consistent with the latest version of the original e-commerce activity.

[0021] In this way, the e-commerce activity generation method provided by the present application can accurately and quickly execute e-commerce activity creation operations for e-commerce activities that need to extend their effectiveness, ensure that the e-commerce activities are promptly extended and effective after their end, and can reduce manual operation costs, thereby improving store marketing effects while taking into account system operating costs.

[0022] The present application also provides a system, which is an e-commerce ERP system or an e-commerce management system, and the system can execute the operating instructions of each method step of the present application.

[0023] The present application also provides a server, which includes a memory and a processor. The system in the present application is stored in the memory, and the processor can run the operating instructions of each method step of the present application.

[0024] The present application also provides a computer device, which includes a memory and a processor. The system in the present application is stored in the memory, and the processor can execute the operating instructions of each method step in the present application.

[0025] refer to Figure 1 The e-commerce ERP system of this application includes one or more functional modules such as commodity module, sales module, procurement module, logistics module, warehouse module, financial module, advertising module, customer service module, tool module, authority management module and data analysis module. The functional modules can be integrated with each other or exist independently, and one functional module can be a submodule of another functional module; the functional modules of this application can also be set on other e-commerce management systems (such as e-commerce platforms) to manage the stores of this e-commerce management system or other e-commerce management systems. Users of the ERP system of this application can also be called store managers, sellers, operators, operators, etc., and their identities are not strictly limited unless otherwise stated. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] The accompanying drawings are used to provide further understanding of the present application and do not constitute a limitation of the present application; the contents shown in the accompanying drawings may be real data of the embodiments and belong to the protection scope of the present application.

[0027] Figure 1 This is a schematic diagram of the functional modules of an e-commerce ERP system in one embodiment of the present application.

[0028] Figure 2 This is a schematic diagram of the interaction between the main account, sub-account and authorized store in one embodiment of the present application.

[0029] Figure 3 This is a flowchart of a method for publishing goods based on a sub-account in one embodiment of the present application.

[0030] Figure 4 This is a schematic diagram of the principle of generating a copy activity by an e-commerce ERP in one embodiment of the present application.

[0031] Figure 5 This is a flow chart of a method for generating an e-commerce activity in one embodiment of the present application. DETAILED DESCRIPTION

[0032] In order to make the purpose, technical solution and advantages of this application more clear, the following is a further detailed description of the embodiments of this application through specific implementation methods combined with the accompanying drawings. It should be understood that the specific embodiments described here are only used to explain this application and are not used to limit this application.

[0033] Figure 2 A schematic diagram of the interaction between the main account, sub-account and authorized store in one embodiment of the present application is shown. Figure 2 As shown in the figure, both the main account and the sub-account can create common claim rules (the main account creates the first public rule, and the sub-account creates the second public rule), and apply the common claim rules to authorized stores; in addition, sub-accounts can also create personal rules that are only visible and applicable to themselves. Both the main account and the sub-account can manage authorized stores; the main account can create sub-accounts, and can set and change permissions for sub-accounts.

[0034] It should be noted that the claiming rules mentioned in this application are rules for processing product release data according to a pre-set data processing method, specifically including first public rules, second public rules and personal rules.

[0035] Figure 3 A method for publishing goods based on a sub-account in one embodiment of the present application is shown, and the method mainly includes the following steps S1 to S5.

[0036] Step S1: Create a master account and associate the master account with multiple authorized stores on the e-commerce platform; Step S2: Setting at least one sub-account based on the main account, and assigning an authorized store associated with the main account to the sub-account; Step S3: creating a first public rule based on the main account, wherein the first public rule is synchronized to each of the sub-accounts when applied to the authorized store; and Step S4: determining a target sub-account in the sub-accounts, and creating a second public rule and a personal rule based on the target sub-account, wherein the second public rule can be viewed or applied by the main account and any sub-account, and the personal rule can only be viewed or applied by the target sub-account; Step S5: Acquire commodity release data, process the commodity release data based on any one of the first public rule, the second public rule or the personal rule to obtain target commodity data, and perform a commodity release operation based on the target commodity data.

[0037] In this way, the sub-account-based product release method provided by the present application, by setting up multiple sub-accounts affiliated with the main account, classifies and manages the claim rules of stores with different operating modes, thereby realizing flexible adjustment or application of specific claim rules for stores; and, by setting up the main account and sub-account to respectively create claim rules with different attributes, the main account and sub-account can be highly corresponding to the management roles of the e-commerce enterprise, ensuring that the various management roles will not interfere with each other when participating in the product release process, thereby improving the efficiency of product release.

[0038] The following is a detailed description of each step in the product release method based on a sub-account.

[0039] Step S1: Create a master account and associate the master account with multiple authorized stores on the e-commerce platform.

[0040] Specifically, in response to instructions triggered by users, the e-commerce ERP system creates a master account for managing claim rules, and associates the master account with multiple authorized stores on the e-commerce platform, so that the claim rules created by the master account can be applied to the multiple authorized stores, and the master account can view the data of each authorized store.

[0041] Step S2: at least one sub-account is set based on the main account, and an authorized store associated with the main account is assigned to the sub-account.

[0042] Specifically, in response to instructions triggered by the user, the e-commerce ERP system sets up at least one sub-account affiliated to the main account, and assigns some authorized stores associated with the main account to the sub-account, so that the sub-account can manage the assigned authorized stores, and the sub-account can only view the data of the assigned authorized stores.

[0043] Step S3: creating a first public rule based on the main account, wherein the first public rule is synchronized to each of the sub-accounts when applied to the authorized store.

[0044] Specifically, the user uses the main account to create a first public rule, and the first public rule can be viewed by all sub-accounts. In addition, the first public rule can be applied to the authorized stores assigned to the sub-accounts.

[0045] Step S4: Determine a target sub-account in the sub-accounts, and create a second public rule and a personal rule based on the target sub-account. The second public rule can be viewed or applied by the main account and any sub-account, and the personal rule can only be viewed or applied by the target sub-account.

[0046] Specifically, users can select some sub-accounts as target sub-accounts, and the target sub-accounts have the authority to create second public rules and personal rules. When the target sub-account creates a second public rule, other sub-accounts and the main account can also view and apply the second public rule, that is, the sub-account that can be used to create the second public rule corresponds to the supervisor (middle-level) role of the e-commerce enterprise; when the target sub-account creates a personal rule, other sub-accounts and the main account cannot view and apply the personal rule, so as to avoid interference with other sub-accounts and the main account or interference with the management behavior of the target sub-account.

[0047] Step S5: Acquire commodity release data, process the commodity release data based on any one of the first public rule, the second public rule or the personal rule to obtain target commodity data, and perform a commodity release operation based on the target commodity data.

[0048] Furthermore, in one embodiment, the method further includes the following step S4.1.

[0049] Step S4.1: At least one of the first permission, the second permission and the third permission is set for the sub-account, the sub-account can view the first public rule when it has the first permission, the sub-account can view and apply the first public rule when it has the second permission, the sub-account can view and apply the first public rule when it has the third permission, and create the second public rule and the personal rule.

[0050] Specifically, each sub-account has different permissions. When a sub-account has the first permission, the sub-account can only view the first public rule, cannot create a claim rule, and cannot apply the claim rule to the authorized store; when the sub-account has the second permission, the sub-account can only view the first public rule, and apply the first public rule to the authorized store, and cannot create a claim rule; when the sub-account has the third permission, the sub-account can view and apply the first public rule, and create the second public rule and personal rules, that is, it has full management permissions for the claim rules of the assigned authorized store.

[0051] Furthermore, based on the above embodiment, the method also includes the following step S4.2.

[0052] Step S4.2: In response to the permission setting instruction issued by the main account, the permission of the sub-account corresponding to the permission setting instruction is changed.

[0053] Specifically, the user sets and changes the permissions of the sub-account by operating the main account. For example, the main account can set any one of the first permission, the second permission, and the third permission for the sub-account, or perform permission change operations such as changing the first permission to the second permission, or set part of the third permission for the sub-account: for some sub-accounts, only the permission to create personal rules is set, while for other sub-accounts, the permission to create the second public rule and personal rules is set. That is, the main account can split the functions corresponding to the permissions, and set the sub-account based on the split permission functions.

[0054] Further, based on the above embodiments, when the sub-account has the second authority or the third authority, that is, the sub-account can apply the claim rules, if the sub-account applies the claim rules to the authorized store, or switches the claim rules currently applied to the authorized store, the main account cannot perform the switch operation on the claim rules applied to the authorized store. In this way, the authorized store will not cause confusion in the management of the claim rules due to accepting the operation instructions of the main account and the sub-account at the same time, and the main account cannot directly perform management operations on the claim rules for the authorized store assigned to the sub-account. If the main account needs to participate in the claim rule management of the authorized store, it is necessary to first change the authority of the corresponding sub-account, or change the association between the authorized store and the sub-account.

[0055] Furthermore, in one embodiment, the step S5 of obtaining product release data includes the following steps S5.1 and S5.2.

[0056] Step S5.1: Obtain product sales information from the front-end page of the e-commerce platform; Step S5.2: Generate commodity release data based on the commodity sales information.

[0057] Specifically, the e-commerce ERP system simulates opening the front-end page of the e-commerce platform through a link, and obtains the product information displayed on the front-end page through a data interface or page data acquisition technology. The product information includes product name, product price, product description and other information. The e-commerce ERP system converts the obtained product information into json format data and transmits it to the system backend. The system backend parses the json format data to obtain the product collection data and stores it in the database. When the main account or sub-account performs a product release operation on the authorized store, the corresponding product collection data is retrieved from the database as the product release data, and the product release data is processed according to the data processing method corresponding to the first public rule, the second public rule or the personal rule to obtain the target product data for releasing the product.

[0058] As another feasible implementation, the product release data may be obtained based on historical product data pre-stored in the e-commerce ERP system.

[0059] Further, in one embodiment, step S5 of processing the commodity release data based on any one of the first public rule, the second public rule or the personal rule includes the following steps S5.3 and S5.4.

[0060] Step S5.3: Obtaining the field priority included in the first public rule, the second public rule or the personal rule; Step S5.4: Process the product release data based on the field priority.

[0061] Specifically, the first public rule, the second public rule and the personal rule have field priorities. When the e-commerce ERP system processes the product release data according to the above claim rules, it executes the field with a higher priority according to the field priority. For example, each field in the above claim rules has a fixed execution order: the smaller the field number, the higher the priority, and the field with a higher priority is executed first. For fields with the same priority, they are executed at the same time, thereby ensuring that two fields that affect each other can complete the execution process smoothly.

[0062] As a feasible implementation method, for the claim rules that include the functions of text translation and SKU generation, the priority of the generated SKU field is set higher than the text translation. When the e-commerce ERP system processes the product release data based on the claim rules, it will give priority to executing the generated SKU field, and then translate the generated SKU into the corresponding site language.

[0063] As another feasible implementation, for the claim rules that include the functions of price setting and decimal processing, the price setting field is set to have a higher priority than the decimal processing field. When the e-commerce ERP system processes the product release data based on the claim rules, it will give priority to executing the price setting field and then perform decimal processing on the calculated price.

[0064] Furthermore, in one embodiment, the e-commerce ERP system responds to a first application instruction triggered by a user, and applies the first public rule created by the user through a main account, or the second public plan and personal rule created by a sub-account, to a specific authorized store.

[0065] As a feasible implementation method, when the authorized store assigned to the sub-account does not apply the claim rules in the initialization state, the authorized store automatically applies the default claim rules set by the e-commerce ERP system for the corresponding e-commerce platform; if the e-commerce ERP system does not have the default claim rules, the e-commerce ERP system uses the product release fields corresponding to each e-commerce platform to perform data processing on the product release data.

[0066] As another feasible implementation, the e-commerce ERP system sets an association relationship between two or more authorized stores, such as setting an association relationship between multiple authorized stores that sell the same products, or have the same operating site, or the same store name, and the multiple authorized stores apply the same default claim rules. When the above-mentioned authorized stores with an association relationship do not apply the claim rules according to the instructions of the main account or sub-account, the above-mentioned default claim rules are automatically applied.

[0067] It can be understood that the application method of the above-mentioned default claim rules is essentially based on the fact that authorized stores with a certain correlation will adopt a management method with similar marketing methods. The same default claim rules are applied to authorized stores with a correlation, thereby eliminating the tedious process of users manually setting claim rules, greatly improving the application efficiency of claim rules, and thus being able to take into account both marketing effects and improving product release efficiency.

[0068] Further, in one embodiment, step S6 includes the following steps S6.1 and S6.2.

[0069] Step S6.1: performing a grouping operation on the plurality of authorized stores to obtain a plurality of store groups; Step S6.2: In response to the first application instruction, determine a target store group among the multiple store groups, and apply the first public rule, the second public rule or the personal rule to the authorized stores included in the target store group.

[0070] Specifically, the user groups the authorized stores with management authority through the main account or sub-account to obtain multiple store groups. When the user applies the claim rule to the store group, all stores included in the store group apply the claim rule.

[0071] Furthermore, in one embodiment, the method further includes the following steps S7.1 and S7.2.

[0072] Step S7.1: Setting permission change conditions for the sub-account, wherein the permission change conditions include at least one of the sub-account creation time, the number of personal rule applications, and the product sales volume; Step S7.2: When the sub-account satisfies the permission change condition, permissions corresponding to the permission change condition are set for the sub-account.

[0073] Specifically, the permissions of a sub-account are determined based on permission change conditions such as the length of time the sub-account was created, the number of personal rules applied, and product sales. When a sub-account meets the above permission change conditions, the permissions of the sub-account are automatically changed, thereby eliminating the process of manually adjusting the permissions of the sub-account and improving account management efficiency.

[0074] The applicant found that since sub-accounts correspond to lower-level management roles (supervisors and salesmen) in e-commerce companies, the permissions of sub-accounts often need to be adjusted according to the current functions of the management roles. For large-scale e-commerce companies, there are many management roles involved in the product release process, and there are many personnel changes involved. At this time, the adjustment of sub-account permissions will cause large labor costs and seriously affect the operating efficiency of e-commerce companies.

[0075] On this basis, the applicant proposed that since the sub-account corresponds to the lower-level management role in the e-commerce enterprise, the judgment conditions of the sub-account authority can be automatically adjusted by setting some parameters that can reflect the changes in the functions of the management role. In this embodiment, the above judgment conditions include at least one of the sub-account creation time, the number of personal rule applications, and the sales volume of goods as parameters.

[0076] For example, for a newly hired salesperson (subordinate), in the early stage of employment, he or she mainly learns by looking at the claim rules created by other management roles, such as managers (superiors), supervisors (middle-level) and other skilled salespeople, and after a period of learning, chooses appropriate claim rules to apply to the store; if the salesperson can reach a more skilled level of operation, he or she will further assume the function of creating claim rules.

[0077] For the above scenario, the permission change conditions for the sub-account are set as follows: the sub-account creation duration T reaches the first preset time t1 or the second preset time t2, and the number of personal rule applications M reaches the first threshold m1 or the second threshold m2. Specifically, when the sub-account is created, in the initial state, the sub-account only has the permission to view the first public rule, and at this time, the sub-account permission corresponds to that of a newly hired salesperson; when t1 ≤ sub-account creation duration T < t2, the first permission of the sub-account is automatically changed to the second permission, that is, the salesperson can apply the first public rule and the second public rule through this sub-account; when the sub-account creation duration T ≥ t2 and m1 ≤ number of personal rule applications M < m2, the second permission of this sub-account is automatically changed to the third permission. At this time, on the basis of viewing and applying the first public rule and the second public rule, the salesperson can also create personal rules through this sub-account; when the sub-account creation duration T ≥ t2 and the number of personal rule applications M ≥ m2, the third permission of this sub-account is set to include the function of creating the second public rule, that is, the salesperson can create the second public rule through this sub-account. It can be understood that in this scenario, the function change of the salesperson is judged according to the sub-account creation duration and the number of personal rule applications. If the sub-account creation duration is relatively long (equivalent to a relatively long employment time of the salesperson), and the number of personal rule applications is relatively large (equivalent to the salesperson having more operations on the claimed rules and reaching a certain level of proficiency), the e-commerce ERP system automatically raises the permission level of the sub-account, so that the sub-account permission matches the current function of the salesperson. Among them, as a feasible implementation method, t1 takes values in the range of 3 months to 6 months, corresponding to the probation period of the operation personnel in the e-commerce enterprise, and t2 takes values in the range of 6 months to 12 months, corresponding to the stage when the operation personnel in the e-commerce enterprise can independently manage the store after a period of training. By analogy, m1 takes values in the range of 5 to 10, corresponding to the operation personnel being able to proficiently select and apply the first public rule and thus create personal rules according to their own understanding; m2 takes values in the range of 10 to 50, corresponding to the operation personnel being able to create the second public rule that is applicable to multiple accounts and multiple stores at the same time.

[0078] As another scenario, for example, for a relatively proficient salesperson, if the performance of the authorized stores under their management is poor, the permission level of their corresponding sub-account can be automatically reduced. For example, the condition for changing the sub-account permission is set as the commodity sales volume N being lower than the first sales volume n1. When the commodity sales volume N < n1 in the authorized store managed by the sub-account, the third permission of this sub-account is automatically changed to the second permission. It can be understood that in this scenario, the functional change of the salesperson is judged based on the commodity sales volume N. If the commodity sales volume N is low, it indicates that there is a problem with the operation mode of the salesperson regarding the claiming rules. By reducing the permission level of the sub-account, the salesperson can only apply the first common rule and the second common rule when operating the sub-account, thus realizing the adjustment of the salesperson's functions. Among them, as a feasible implementation method, n1 is determined according to the commodity sales volume of the previous quarter, that is, n1 takes values within the range of 50% - 70% of the commodity sales volume of the previous quarter. For example, when the commodity sales volume N is lower than 70% of the commodity sales volume of the previous quarter, the e-commerce system determines that the performance of this salesperson is abnormal and the function changes accordingly. At this time, the sub-account corresponding to this salesperson is automatically changed from the third permission to the second permission.

[0079] In this way, by setting the permission change conditions including the sub-account creation duration, the number of personal rules applied, and the commodity sales volume as parameters, this embodiment can automatically adjust the permission level of the sub-account according to the functional changes of the management role, saving the labor cost of manually adjusting the sub-account permissions and improving the operation efficiency of the e-commerce enterprise.

[0080] In addition, in one embodiment, for the e-commerce ERP system to manage the e-commerce activity link, the present application also proposes an e-commerce activity generation method.

[0081] Figure 4 It shows the schematic diagram of the principle of the e-commerce ERP generating a copy activity corresponding to the target activity in an embodiment of the present application. As Figure 4 shown, the e-commerce ERP system obtains the preset factors affecting the polling period for the e-commerce platform. The preset factors include the number of e-commerce activities with a continuation mark, network speed, e-commerce platform interface efficiency, and the e-commerce ERP system threads. Then, the e-commerce ERP system determines the polling period according to the above preset factors, and performs a polling operation on the target activity (i.e., the e-commerce activity with a continuation mark) according to the polling period. If the polling result shows that the target activity is in an end state, the e-commerce ERP system synchronizes the activity data of this target activity from the e-commerce platform, generates a copy activity identical to the target activity according to the activity data, and finally publishes this copy activity, thereby achieving the effect of automatically continuing to take effect after the end of the target activity.

[0082] Figure 5 It shows the e-commerce activity generation method in an embodiment of the present application. This method mainly includes the following steps M1 to step M4.

[0083] Step M1: setting a polling cycle based on preset factors, wherein the preset factors are factors affecting the efficiency of performing polling operations on a target activity, the target activity is an e-commerce activity with an automatic continuation mark, and the polling cycle is a time interval between performing two adjacent polling operations, and the time interval is greater than 0; Step M2: performing a polling operation on the activity status of the target activity on the e-commerce platform based on the polling cycle; Step M3: when the polling result indicates that the target activity is in an ended state, obtaining activity data corresponding to the target activity based on the e-commerce platform, and generating a copy activity corresponding to the target activity according to the activity data; Step M4: Execute a publishing operation for the copy activity.

[0084] The e-commerce activity generation method provided in this application can accurately and quickly execute e-commerce activity creation operations for e-commerce activities that need to extend their effectiveness, ensure that the e-commerce activities are promptly extended and effective after they end, and can reduce manual operation costs, thereby improving store marketing effects while taking into account system operating costs.

[0085] The following is a detailed description of each method step in the e-commerce activity generation method.

[0086] Step M1: Setting a polling cycle based on preset factors, wherein the preset factors are factors affecting the efficiency of performing polling operations on a target activity, the target activity is an e-commerce activity with an automatic continuation mark, and the polling cycle is the time interval between performing two adjacent polling operations, and the time interval is greater than 0.

[0087] Specifically, the e-commerce ERP system determines the polling cycle corresponding to the polling operation according to the influencing factors of the efficiency of the polling operation for the target activity, such as the number of marked e-commerce activities, network speed, e-commerce platform interface efficiency and e-commerce ERP system threads. It can be understood that if the polling cycle is set too long, the end time of the target activity and the release activity of the copy activity will be separated by a long time, which will cause the user to be unable to enjoy the activity purchase treatment before the copy activity is released, thereby affecting the marketing effect; if the polling cycle is set too short, it may cause a single polling operation to fail to be completed within the polling cycle, resulting in the e-commerce ERP system to continue the polling operation for a long time without interruption, resulting in excessive consumption of system resources and the impact on other system programs; therefore, setting the corresponding polling cycle according to the above marketing factors can ensure the normal operation of the system. Among them, for the above influencing factors, the higher the number of marked e-commerce activities, the longer the time required to perform the polling operation, and the lower the polling operation efficiency, so the polling cycle also needs to be extended accordingly, that is, the number of marked e-commerce activities is positively correlated with the polling cycle; it can be understood that the network speed, the efficiency of the e-commerce platform interface and the e-commerce ERP system thread are all negatively correlated with the polling cycle.

[0088] Step M2: performing a polling operation on the activity status of the target activity on the e-commerce platform based on the polling cycle.

[0089] Specifically, the e-commerce ERP system performs a polling operation on the target activity on the e-commerce platform according to a polling cycle to determine whether a corresponding copy activity needs to be generated according to the activity status of the target activity.

[0090] Step M3: When the polling result indicates that the target activity is in an ended state, activity data corresponding to the target activity is acquired based on the e-commerce platform, and a copy activity corresponding to the target activity is generated according to the activity data.

[0091] Specifically, the e-commerce ERP system polls to determine that the target activity is in an ended state, obtains activity data of the target activity from the e-commerce platform, synchronizes the activity data to a local database, and then generates a copy activity identical to the target activity based on the activity data.

[0092] Step M4: Execute a publishing operation for the copy activity.

[0093] Specifically, the e-commerce ERP system publishes a copy activity corresponding to the target activity, thereby achieving the effect that the target activity automatically continues to take effect after it ends.

[0094] Furthermore, in one embodiment, the method further includes the following steps M4.1 to M4.3.

[0095] Step M4.1: Determine the target product to which the replication activity is applied; Step M4.2: Obtain the commodity inventory of the target commodity, and compare the commodity inventory with a preset inventory threshold; Step M4.3: If the commodity inventory is lower than the preset inventory threshold, the publishing operation of the replication activity is terminated.

[0096] Specifically, since the copied activity is the same e-commerce activity as the target activity and is used to promote products, for the e-commerce platform, if the inventory of the products participating in the e-commerce activity is insufficient, such as the inventory of the products is 0, the products are not eligible to participate in the e-commerce activity, and the e-commerce platform will refuse to publish the e-commerce activity containing the products with insufficient inventory. Therefore, in order to avoid the failure of the copy activity to be published due to insufficient inventory of the products, before executing the publishing operation on the copied activity, this embodiment will compare the inventory of the target products included in the copied activity with the preset inventory threshold. If the inventory of the products is lower than the inventory threshold, that is, the inventory of the products is at a low level, the publishing operation for the copied activity will be terminated, and a prompt message will be sent to the user.

[0097] Further, based on the above embodiments, the method further includes the following steps M4.41 and M4.42.

[0098] Step M4.41: Obtain the daily average product sales volume and the daily average product inventory of the target product during the corresponding time period of the target activity, and compare the daily average product sales volume with the daily average product inventory. Step M4.42: If the ratio of the daily average product sales volume to the daily average product inventory is less than the preset ratio, set the daily average product inventory as the preset inventory threshold; and if the ratio of the daily average product sales volume to the daily average product inventory is greater than or equal to the preset ratio, determine the preset inventory threshold based on the product replenishment cycle, the product replenishment quantity, and the daily average product inventory.

[0099] In practical applications, the sales volume of products will increase when participating in e-commerce activities. If a product runs out of stock during an e-commerce activity, it may lead to penalties for the store by the e-commerce platform and reduce the traffic allocation weight of the e-commerce platform for the store.

[0100] The applicant found that in order to avoid the above situation, the e-commerce platform has set a rule that products with an inventory of 0 are prohibited from participating in e-commerce activities. However, this rule fails to set limiting conditions for product inventory according to the actual sales situation of the products, making it difficult to ensure that the product inventory can meet the needs of e-commerce activities.

[0101] On this basis, the applicant proposed that the e-commerce ERP system obtains the daily average product sales volume M and the daily average product inventory N of the target product when participating in e-commerce activities. The daily average product sales volume M reflects the periodic sales level of the product when participating in e-commerce activities, and the daily average product inventory N reflects the periodic stocking level of the product when participating in e-commerce activities. Then, the user can preset a preset ratio P1. If M / N < P1, the e-commerce ERP system determines that the daily average product inventory N can meet the needs of this e-commerce activity. Therefore, the e-commerce ERP uses this daily average product inventory N as the preset inventory threshold. That is, when the e-commerce ERP system generates a replication activity, it compares the product inventory of the target product included in the replication activity with the preset inventory threshold (the daily average product inventory N). If the product inventory of the target product is greater than the daily average product inventory N, the e-commerce ERP system performs a release operation for this replication activity.

[0102] It can be understood that if M / N≥P1, the average daily sales volume M is relatively close to the average daily inventory N. The e-commerce ERP system determines that the target product is at a greater risk of being sold out during the e-commerce activity. The actual inventory is calculated based on the product replenishment cycle T, product replenishment quantity S and the average daily inventory N of the target product when participating in the e-commerce activity. The actual inventory can meet the needs of the e-commerce activity and is determined as the preset inventory threshold.

[0103] There is an equation: preset inventory threshold = (S / T) + N; It is understandable that the user can set the preset ratio P1 according to actual needs, such as setting the preset ratio P1 corresponding to each target commodity according to the commodity type, which is not specifically limited here.

[0104] As a feasible implementation method, when the inventory of the target product is less than the preset inventory threshold, the e-commerce ERP system terminates the publishing operation of the copy activity and sends a corresponding prompt message to the user, reminding the user to modify the activity data of the copy activity or perform a replenishment operation on the target product.

[0105] As another feasible implementation, when the product inventory of the target product is less than a preset inventory threshold, the e-commerce ERP system corrects the activity data of the copy activity, removes the target product with insufficient inventory included in the copy activity, and performs a publishing operation on the corrected copy activity.

[0106] In this way, this embodiment can not only ensure that the e-commerce activity will not fail to be released due to insufficient product inventory during the automatic continuation process, but also automatically verify whether the product inventory meets the needs of the e-commerce activity, thereby avoiding the product being sold out during the e-commerce activity and affecting the subsequent traffic distribution and marketing effects of the store.

[0107] Furthermore, in one embodiment, the above step M4 includes the following step M4.5 and step M4.6.

[0108] Step M4.5: In response to the first time-limit instruction, an activity duration corresponding to the first time-limit instruction is set for the target activity, and when the target activity is in an ending state within the activity duration, the same copy activity will be automatically created repeatedly; Step M4.6: Compare the activity duration with the preset time threshold. If the activity duration is greater than or equal to the preset time threshold, perform a publishing operation on the copy activity; and if the activity duration is less than the preset time threshold, terminate the publishing operation of the copy activity.

[0109] Specifically, the user triggers the first time-limit instruction, and the e-commerce ERP system sets an activity duration corresponding to the first time-limit instruction for the copy activity. The e-commerce ERP system will continue to poll the target activity during the activity duration, and automatically create the same copy activity when the target activity is in the end state.

[0110] For example, if the user sets the duration of an activity to 24 hours, the e-commerce ERP system will automatically create an identical copy activity when it detects that the target activity is in an ended state within 24 hours.

[0111] It can be understood that when the number of target activities that need to perform polling operations is large, the e-commerce ERP system needs to consume more system resources to perform polling operations. Therefore, for e-commerce activities with short duration and little significance, this embodiment does not perform the corresponding copy activity publishing operation. In this embodiment, the e-commerce ERP system compares the activity duration with the pre-set time threshold; when the activity duration is less than the pre-set time threshold, that is, the activity duration is short, the publishing operation of the copy activity is terminated, thereby achieving the effect of reducing the number of target activities that are automatically continued.

[0112] For example, assuming that the preset time threshold is 6 hours, when the user sets the activity duration to 3 hours, that is, the activity duration is less than the preset time threshold, the e-commerce ERP system terminates the publishing operation of the copy activity and sends a prompt message to the user.

[0113] Furthermore, in one embodiment, the method further includes the following step M4.7.

[0114] Step M4.7: In response to the second time limit instruction, set the activity validity duration corresponding to the second time limit instruction for the target activity, the activity validity duration is the time elapsed from the creation of the copy activity to the end state, and the activity validity duration is less than the activity duration.

[0115] Specifically, when the user triggers the second time limit instruction, the e-commerce ERP system sets a corresponding activity effective time for the target activity. The activity effective time is the time period from the effectiveness to the end of the copy activity corresponding to the target activity, that is, the single effective duration of the copy activity.

[0116] As a feasible implementation method, the effective duration of the activity can be set to the original activity duration of the target activity, or to a value such as the maximum activity duration specified by the e-commerce platform, which is not specifically limited here.

[0117] Further, based on the above embodiment, after step M4.7, the method further includes the following step M4.8.

[0118] Step M4.8: If it is detected that the current time is the activity duration, or the time period between the current time and the activity duration is less than the activity effective duration, the polling operation corresponding to the target activity is terminated.

[0119] Specifically, if the e-commerce ERP system detects that the current time reaches the activity duration corresponding to the target activity, or the remaining duration of the target activity is less than the duration of a single activity (i.e., the duration of the activity taking effect), that is, the remaining duration is not enough to completely execute a copy activity corresponding to the target activity, then the e-commerce ERP system terminates the polling operation for the target activity and cancels the continuation mark of the target activity.

[0120] Further, in one embodiment, step M4 includes the following step M4.91 and step M4.92.

[0121] Step M4.91: Perform a consistency check operation on the copy activity and the target activity; Step M4.92: If the verification result is that the data is consistent, then the publishing operation is performed for the copy activity; if the verification result is that the data is inconsistent, then the publishing operation of the copy activity is terminated.

[0122] Specifically, when the e-commerce ERP system generates a duplicate activity based on a target activity, the duplicate activity and the target activity may be inconsistent in activity data based on a variety of factors, thereby affecting the marketing effect of the product. For example, when the e-commerce ERP system obtains the activity data of the target activity from the e-commerce platform, data is missing, or when the e-commerce ERP system generates a duplicate activity based on activity data, a program error occurs, or the target product included in the original target activity cannot participate in the duplicate activity due to insufficient inventory. The above factors will cause the duplicate activity and the target activity to be inconsistent in activity data. At this time, the e-commerce ERP system terminates the publishing operation of the duplicate activity and generates a corresponding prompt message to send to the user.

[0123] Further, in one embodiment, step M3 of generating a copy activity corresponding to the target activity according to the activity data includes the following steps M3.1 to M3.3.

[0124] Step M3.1: Determine a first activity name according to the activity data; Step M3.2: Generate a second activity name based on the first activity name and preset name factors, wherein the preset name factors include the current time or the number of activity continuations; Step M3.3: Generate a copy activity corresponding to the target activity based on the second activity name and the activity data.

[0125] Specifically, some e-commerce platforms do not allow e-commerce activities with the same name. On this basis, the e-commerce ERP system of this application processes the original activity name of the target activity accordingly, generates a new activity name that is different from the original activity name, and applies the new activity name to generate a copied activity, thereby satisfying the e-commerce platform's rule prohibiting e-commerce activities from having the same name.

[0126] As a feasible implementation, the e-commerce ERP system generates a new activity name based on the original activity name and the current time: if the original activity name is "Second Sale Activity" and the current time is 20240905, the new activity name is "Second Sale Activity-20240905". In this implementation, the user can quickly obtain the time information of the copied activity from the new activity name.

[0127] As another feasible implementation, the e-commerce ERP system generates a new activity name based on the original activity name and the number of activity continuations: if the original activity name is "discount activity", the target activity is currently the second copy continuation, and the real new activity name is "discount activity-2". In this implementation, the user can quickly know the number of times the copy activity is generated from the new activity name.

[0128] As another feasible implementation, the e-commerce ERP system may process the original activity name according to other data processing methods set by the user to obtain a new activity name applied to the copied activity, which is not specifically limited here.

[0129] The above description is only a preferred embodiment of the present application, and does not limit the patent scope of the present application. All equivalent transformations made by using the contents of the present application specification and drawings under the inventive concept of the present application, or direct / indirect application in the relevant technical field are included in the patent protection scope of the present application.

Claims

1. A method for generating an e-commerce activity, characterized in that: A sales module for an e-commerce ERP system or an e-commerce platform system, characterized in that the method comprises: Step M1: setting a polling cycle based on preset factors, wherein the preset factors are factors affecting the efficiency of performing polling operations on a target activity, the target activity is an e-commerce activity with an automatic continuation mark, and the polling cycle is a time interval between performing two adjacent polling operations, and the time interval is greater than 0; Step M2: performing a polling operation on the activity status of the target activity on the e-commerce platform based on the polling cycle; Step M3: when the polling result indicates that the target activity is in an ended state, obtaining activity data corresponding to the target activity based on the e-commerce platform, and generating a copy activity corresponding to the target activity according to the activity data; Step M4: Execute a publishing operation for the copy activity.

2. The e-commerce activity publishing method according to claim 1, characterized in that: The preset factors include the target activity quantity, network speed, e-commerce platform interface efficiency and e-commerce ERP system thread. The target activity quantity is positively correlated with the polling cycle, and the network speed, the e-commerce platform interface efficiency and the e-commerce ERP system thread are negatively correlated with the polling cycle.

3. The e-commerce activity publishing method according to claim 1, characterized in that: The method further comprises: Step M4.1: Determine the target product to which the replication activity is applied; Step M4.2: Obtain the commodity inventory of the target commodity, and compare the commodity inventory with a preset inventory threshold; Step M4.3: If the commodity inventory is lower than the preset inventory threshold, the publishing operation of the replication activity is terminated.

4. The e-commerce activity publishing method according to claim 3, characterized in that: The method further comprises: Step M4.41: Obtain the daily average sales volume and daily average inventory of the target product in the time period corresponding to the target activity, and compare the daily average sales volume with the daily average inventory; Step M4.42: If the ratio of the daily average commodity sales volume to the daily average commodity inventory is less than a preset ratio, the daily average commodity inventory is set to the preset inventory threshold; and, if the ratio of the daily average commodity sales volume to the daily average commodity inventory is greater than or equal to the preset ratio, the preset inventory threshold is determined based on the commodity replenishment cycle, the commodity replenishment quantity and the daily average commodity inventory.

5. The e-commerce activity publishing method according to claim 1, characterized in that: Step M4 includes: Step M4.5: In response to the first time-limit instruction, an activity duration corresponding to the first time-limit instruction is set for the target activity, and when the target activity is in an ending state within the activity duration, the same copy activity will be automatically created repeatedly; Step M4.6: Compare the activity duration with the preset time threshold. If the activity duration is greater than or equal to the preset time threshold, perform a publishing operation on the copy activity; and if the activity duration is less than the preset time threshold, terminate the publishing operation of the copy activity.

6. The e-commerce activity publishing method according to claim 5, characterized in that: The method further comprises: Step M4.7: In response to the second time limit instruction, set the activity validity duration corresponding to the second time limit instruction for the target activity, the activity validity duration is the time elapsed from the creation of the copy activity to the end state, and the activity validity duration is less than the activity duration.

7. The e-commerce activity publishing method according to claim 6, characterized in that: After step M4.7, the method further comprises: Step M4.8: If it is detected that the current time is the activity duration, or the time period between the current time and the activity duration is less than the activity effective duration, the polling operation corresponding to the target activity is terminated.

8. The e-commerce activity publishing method according to claim 1, characterized in that: Step M4 includes: Step M4.91: Perform a consistency check operation on the copy activity and the target activity; Step M4.92: If the verification result is that the data is consistent, then the publishing operation is performed for the copy activity; if the verification result is that the data is inconsistent, then the publishing operation of the copy activity is terminated.

9. The e-commerce activity publishing method according to claim 1, characterized in that: Step M3 of generating a copy activity corresponding to the target activity according to the activity data includes: Step M3.1: Determine a first activity name according to the activity data; Step M3.2: Generate a second activity name based on the first activity name and preset name factors, wherein the preset name factors include the current time or the number of activity continuations; Step M3.3: Generate a copy activity corresponding to the target activity based on the second activity name and the activity data.

10. An e-commerce activity publishing system, characterized in that: The system is an e-commerce ERP system or an e-commerce management system, and the system includes a sales module, and the sales module is used to execute the operation instructions included in the e-commerce activity publishing method according to any one of claims 1 to 9.

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