Mobile terminal shopping platform donation rebating method and sales system

Abstract

The invention discloses a mobile terminal shopping platform donation and commission discount method and a sales system, and relates to the technical field of e-commerce, and the system comprises a user management module, a commodity management module, an order management module, a payment and settlement module, a donation and commission discount core module, a marketing and promotion module, and a data statistics and analysis module. Registration, authentication, information maintenance and authority and level management are achieved through the user management module, and authenticity and safety of user identities are ensured. A basis is provided for personalized services and rights, so that the user experience and loyalty are remarkably improved; the user management module is used for providing differentiated services for different levels of users by analyzing user behaviors and preferences, such as buying activities and preferential customer services exclusively shared by advanced users; according to the differentiated service strategy, the participation degree and loyalty of the user are effectively improved, and the problem of insufficient user stickiness is solved.

Description

Technical Field

[0001] This invention relates to the field of e-commerce technology, specifically to a mobile shopping platform's buy-one-get-one-free and commission-rebate method and sales system. Background Technology

[0002] In the current e-commerce landscape, mobile shopping platforms have become a crucial channel for users to shop due to their convenience and mobility. While mobile shopping platforms have made significant progress in providing user convenience, several key issues remain that limit their ability to attract new users, retain existing users, and increase sales. The following are three main problems with existing technologies:

[0003] Insufficient user engagement and loyalty: Existing mobile shopping platforms typically lack effective user incentive mechanisms to improve user engagement and loyalty. Users often only visit the platform when they need to shop, lacking the motivation for sustained participation. Furthermore, platforms fail to fully leverage the potential of user data and fail to provide personalized shopping experiences, resulting in low user stickiness.

[0004] Low precision in marketing campaigns: Although the platform regularly launches various marketing campaigns, these campaigns often fail to accurately reach the target user group due to a lack of in-depth analysis and understanding of user behavior. This leads to a waste of marketing resources, poor marketing results, and difficulty in achieving expected sales growth targets.

[0005] Inadequate Social Sharing and Rebate Mechanisms: Social sharing is a crucial means of promoting product dissemination and sales in modern e-commerce. However, existing mobile shopping platforms suffer from shortcomings in social sharing and rebate mechanisms, failing to effectively utilize the dissemination effects of social platforms. The imperfect rebate mechanisms also dampen users' enthusiasm for sharing products, limiting the platform's potential to expand its influence and increase sales through social networks.

[0006] To this end, this invention proposes a purchase-with-gift-and-rebate method and sales system for mobile shopping platforms. The aim is to improve user participation and loyalty, enhance the accuracy of marketing activities, and fully utilize the dissemination effect of social networks through innovative user incentive mechanisms, precise marketing strategies, and optimized social sharing and rebate systems, thereby improving the overall performance and market competitiveness of mobile shopping platforms. Summary of the Invention

[0007] To address the shortcomings of existing technologies, this invention provides a method and system for purchase-with-gift-and-cashback promotions on mobile shopping platforms, which solves the problems mentioned in the background art regarding insufficient user participation and loyalty, low accuracy of marketing activities, and imperfect social sharing and cashback mechanisms in existing mobile shopping platforms.

[0008] To achieve the above objectives, the present invention provides the following technical solution: a mobile shopping platform with a buy-one-get-one-free and commission-rebate method and sales system, comprising a user management module, a product management module, an order management module, a payment and settlement module, a buy-one-get-one-free and commission-rebate core module, a marketing and promotion module, and a data statistics and analysis module;

[0009] The user management module is used to realize user registration, authentication, information maintenance, and permission and level management on the platform, to ensure the authenticity and security of user identity, while providing users with personalized services and rights, and improving user experience and loyalty.

[0010] The product management module is used by merchants to list, categorize, configure buy-one-get-one-free rules, and monitor inventory and status of products on the platform, ensuring the accuracy and timeliness of product information and improving product manageability and sales efficiency.

[0011] The order management module is used by users to select goods, add them to their shopping cart, generate and process orders, and track and manage orders on the platform. It provides a convenient shopping process and an efficient order processing mechanism to ensure the user's shopping experience and the merchant's order execution efficiency.

[0012] The payment and settlement module is used to enable users to make payments on the platform, integrates multiple payment methods, provides a safe and convenient payment experience, and processes the settlement logic of orders to ensure the accuracy and security of transactions.

[0013] The core module for purchase-gift-and-rebate is used to implement the platform's purchase-gift-and-rebate mechanism, automatically calculate and distribute the redemption amount and rebate amount that users should receive after purchasing goods, incentivize users to purchase and share, and improve the platform's sales performance and user activity.

[0014] The marketing and promotion module is used by merchants to plan and publish various marketing activities on the platform, manage promotion channels, analyze user behavior, achieve precise marketing, enhance the platform's popularity and influence, and promote product sales and user growth.

[0015] The data statistics and analysis module is used to comprehensively collect and analyze the platform's sales data, user data, and marketing results, providing merchants with detailed reports and data support to help them understand their business situation, optimize decision-making, and improve the platform's operational efficiency and competitiveness.

[0016] Preferably, the core module for purchase-with-gift-and-rebate includes:

[0017] The buy-one-get-one-free rule configuration unit is used by merchants to set buy-one-get-one-free rules for each product;

[0018] The pickup quota management unit is used to manage the pickup quota obtained by users after purchasing goods;

[0019] The commission calculation and distribution unit is used to calculate and distribute the commission earned by users through sharing product links;

[0020] The sharing behavior tracking unit is used to track users' behavior of sharing product links and record relevant data;

[0021] The Buy-One-Get-Free-Rebate Performance Evaluation Unit is used to evaluate the effectiveness of buy-one-get-free-rebate promotions.

[0022] The cross-platform sharing feature allows users to share product links across multiple social media platforms.

[0023] Preferably, the buy-one-get-one-free rule configuration unit further includes: a dynamic rule adjustment subunit, used to dynamically adjust the buy-one-get-one-free rules according to market demand; wherein the dynamic rule adjustment subunit adjusts the rules based on the following formula:

[0024] New purchase bonus ratio = α × old purchase bonus ratio + β × (market demand change rate - average market demand change rate)

[0025] Among them, α and β are weighting coefficients used to balance the impact of the old buy-one-get-one-free ratio and the rate of change in market demand, ensuring that the adjustment of the buy-one-get-one-free rules takes into account both historical data and new market changes.

[0026] The dynamic rule adjustment subunit also includes a market trend analysis module, which is used to analyze and predict market trends in order to adjust the buy-one-get-one-free rules more accurately.

[0027] The dynamic rule adjustment subunit also includes a rule adjustment history module, which records detailed information for each rule adjustment, including the adjustment time, the purchase-gift ratio before and after the adjustment, and the reason for the adjustment, so as to facilitate tracking and auditing.

[0028] Preferably, the commission calculation and distribution unit includes: an automatic commission rate calculation subunit, used to automatically calculate the commission amount according to the commission rate set by the merchant, and the specific calculation method is as follows:

[0029] Rebate amount = Purchase amount × Rebate percentage

[0030] Among them, purchase amount: the actual transaction amount generated through the shared link; commission rate: the commission rate set by the merchant. This formula ensures the accurate calculation of the commission amount, so that users can receive the corresponding commission based on the actual transaction amount.

[0031] The automatic commission rate calculation subunit also includes a commission rate review module, which is used to review whether the commission rate set by the merchant is reasonable, so as to prevent excessively high commissions from causing losses to the platform.

[0032] The automatic commission rate calculation subunit also includes a commission cap setting module, which allows the platform to set a commission cap for each product category in order to control commission costs.

[0033] Preferably, the redemption quota management unit includes: an intelligent recommendation subunit, used to recommend redeemable goods based on the user's purchase history and preferences; the recommendation algorithm is based on the following formula:

[0034]

[0035] Among them, w i p is the weight of the i-th preference feature. i is the user's rating for the i-th preference feature, and n is the total number of preference features. This formula takes into account the user's preference features to calculate the recommendation index for each product.

[0036] The intelligent recommendation subunit also includes a user feedback collection module, used to collect user feedback on recommended products, including purchase, browsing, and rating behaviors, in order to optimize the recommendation algorithm.

[0037] The intelligent recommendation subunit also includes a recommendation result optimization module, which dynamically adjusts the parameters of the recommendation algorithm based on user feedback and system evaluation results to improve the accuracy of recommendations and user satisfaction.

[0038] Preferably, the sharing behavior tracking unit includes an incentive subunit, used to provide incentives based on user sharing behavior, wherein the incentive points are calculated as follows:

[0039] Incentive points = k × log(1 + number of valid shares)

[0040] Where k is the incentive coefficient, used to adjust the growth rate of incentive points to ensure the rationality and effectiveness of incentive measures; effective sharing count: the number of times a user successfully shares a product link;

[0041] The incentive measures subunit also includes an incentive effect evaluation module, which is used to evaluate the effectiveness of the incentive measures, including user activity, number of shares, and conversion rate indicators.

[0042] The incentive measures subunit also includes an incentive strategy adjustment module, which dynamically adjusts the incentive strategy based on the results of the incentive effect evaluation to improve the effectiveness of the incentive.

[0043] Preferably, the purchase-gift-rebate effect evaluation unit includes an optimization suggestion subunit, used to provide optimization suggestions to merchants based on the evaluation results. The optimization index is calculated as follows:

[0044] Optimization index = ×100%

[0045] Among them, the target achievement rate is the ratio of the actual sales target achieved to the set target; the baseline achievement rate is the sales target achievement rate under the baseline condition. This formula evaluates the effectiveness of the buy-one-get-one-free rebate activity by comparing the difference between the target achievement rate and the baseline achievement rate, and provides merchants with a basis for optimizing the activity.

[0046] Preferably, the cross-platform sharing unit includes a cross-platform commission calculation subunit, used to calculate the commission amount based on the sharing effect on different social platforms. The formula for calculating the total commission amount is as follows:

[0047]

[0048] Among them, c j is the rebate rate for the j-th social platform, where the transaction amount on platform j is the total transaction amount on the j-th social platform, and m is the total number of social platforms. This formula summarizes and calculates the rebate amount corresponding to the transaction amount generated by the user's sharing behavior on different social platforms.

[0049] Preferably, the cross-platform sharing unit further includes a platform data integration module, used to integrate data from different social platforms to ensure data consistency and accuracy; this module includes the following functions:

[0050] Data collection: Collect sharing and transaction data from various social media platforms;

[0051] Data cleaning: removing invalid or erroneous data to ensure data quality;

[0052] Data integration: Integrate the cleaned data into a unified data model to facilitate the calculation of commission amounts;

[0053] The cross-platform sharing unit commission allocation strategy allocates commissions based on user activity and conversion rates on the social platform. The specific formula for calculating the commission rate is as follows:

[0054]

[0055] Rebate rate j : Represents the commission rate of the j-th social platform; User activity j· represents the user activity of the j-th social platform, which can be a metric such as daily active users or monthly active users; Conversion rate j : Represents the conversion rate of the j-th social platform, that is, the proportion of transactions achieved through sharing links on this platform to the total transactions; m: Represents the total number of social platforms;

[0056] In this way, the cross-platform sharing unit can reasonably allocate commission rebates based on the contribution of different social platforms, thereby incentivizing users to share on multiple social platforms, increasing product exposure and sales. At the same time, the cross-platform data integration module ensures the accuracy and consistency of the data, providing reliable data support for the calculation of commission rebates.

[0057] Preferably, the steps are as follows:

[0058] S01. User Registration and Authentication: Users register on the mobile shopping platform using their mobile phone number, email address, or social media account and complete real-name authentication to ensure the authenticity and legality of the user's identity;

[0059] S02. Product Listing and Categorization: Merchants upload product information on the platform, including images, descriptions, prices, and inventory, and categorize them so that users can quickly find and filter products of interest;

[0060] S03. Purchase and Gift Rules Configuration: Merchants set purchase and gift rules for each product, such as "buy one get one free" or "gift with purchase amount", and dynamically adjust these rules according to market demand through the dynamic rule adjustment sub-unit;

[0061] S04. User Selection and Order Generation: Users select products on the platform, add them to their shopping cart, generate an order, and complete the payment process in the payment and settlement module. The system integrates multiple payment methods to provide a secure and convenient payment experience.

[0062] S05. Redemption Quota Management: After purchasing goods, users obtain redemption quotas according to the buy-one-get-one-free rules, and these quotas are managed through the intelligent recommendation sub-unit, which recommends goods that users can redeem.

[0063] S06. Rebate Calculation and Distribution: Users receive rebates by sharing product links. The rebate calculation and distribution unit automatically calculates and distributes the rebate amount according to the rebate ratio set by the merchant.

[0064] S07. Sharing Behavior Tracking and Incentives: The sharing behavior tracking unit records users' behavior of sharing product links and provides incentives based on users' sharing behavior through the incentive measures sub-unit;

[0065] S08. Evaluation and Optimization of Buy-One-Get-One-Free Rebate Effect: The Buy-One-Get-One-Free Rebate Effect Evaluation Unit regularly evaluates the effectiveness of the campaign, and the Optimization Suggestion Sub-Unit provides merchants with optimization suggestions based on the evaluation results to improve the platform's sales performance and user activity.

[0066] This invention provides a method and system for purchase-with-gift-and-cashback promotions on a mobile shopping platform. It includes the following features:

[0067] Beneficial effects:

[0068] (1) The user management module enhances user stickiness: The registration, authentication, information maintenance, and permission and level management implemented through the user management module ensure the authenticity and security of user identity; this provides a foundation for personalized services and benefits, thereby significantly improving user experience and loyalty; the user management module provides differentiated services to users of different levels by analyzing user behavior and preferences, such as purchase-with-gift activities and priority customer service for advanced users; this differentiated service strategy effectively improves user participation and loyalty, and solves the problem of insufficient user stickiness.

[0069] (2) The Marketing and Promotion module improves the accuracy of marketing activities: The Marketing and Promotion module plans and launches various marketing activities, manages promotion channels, and analyzes user behavior to achieve precise marketing and enhance the platform's popularity and influence. This module uses the data support provided by the Data Statistics and Analysis module to help merchants understand user needs and behavioral habits, thereby designing marketing activities that better meet user needs. For example, by analyzing users' purchase history, the platform can recommend products that users may be interested in, improve the conversion rate of marketing activities, and solve the problem of low accuracy of marketing activities.

[0070] (3) Cross-platform sharing unit expands social influence: The cross-platform sharing unit supports users to share product links on multiple social platforms. The commission calculation and distribution unit calculates the commission amount based on the sharing effect to incentivize users to share on social platforms. This unit integrates data from different social platforms through the cross-platform data integration module to ensure data consistency and accuracy. The commission allocation strategy allocates commission amounts based on the user activity and conversion rate of the social platform, thereby incentivizing users to share on multiple social platforms, increasing product exposure and sales. This not only solves the problem of imperfect social sharing and commission mechanisms, but also expands the platform's influence through the spread effect of social networks.

[0071] Through the collaborative work of these modules, the mobile shopping platform buy-one-get-one-free commission method and sales system of the present invention can effectively improve user participation and loyalty, enhance the accuracy and effectiveness of marketing activities, and expand the platform's social influence, thereby strengthening the platform's competitiveness and market position. Attached Figure Description

[0072] Figure 1 This is a schematic diagram of the system modules of the present invention;

[0073] Figure 2 This is a schematic diagram of the method flow of the present invention. Detailed Implementation

[0074] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present invention.

[0075] Example 1:

[0076] Please see Figure 1-2 The present invention provides a technical solution: a mobile shopping platform with a buy-one-get-one-free and rebate method and sales system, including a user management module, a product management module, an order management module, a payment and settlement module, a buy-one-get-one-free and rebate core module, a marketing and promotion module, and a data statistics and analysis module;

[0077] The user management module is used to enable users to register, authenticate, maintain information, and manage permissions and levels on the platform, ensuring the authenticity and security of user identities, while providing users with personalized services and benefits to enhance user experience and loyalty.

[0078] The product management module is used by merchants to list, categorize, configure buy-one-get-one-free rules, and monitor inventory and status of products on the platform, ensuring the accuracy and timeliness of product information and improving product manageability and sales efficiency.

[0079] The order management module is used by users to select products, add them to their shopping cart, generate and process orders, and track and manage orders on the platform. It provides a convenient shopping process and an efficient order processing mechanism to ensure the user's shopping experience and the merchant's order execution efficiency.

[0080] The payment and settlement module is used to enable users to make payments on the platform, integrates multiple payment methods, provides a safe and convenient payment experience, and processes the settlement logic of orders to ensure the accuracy and security of transactions.

[0081] The core module of "Buy and Get Rebates" is used to implement the platform's "Buy and Get Rebates" mechanism, automatically calculating and distributing the redemption amount and rebate amount that users should receive after purchasing goods, incentivizing users to buy and share, and improving the platform's sales performance and user activity.

[0082] The marketing and promotion module is used by merchants to plan and publish various marketing activities on the platform, manage promotion channels, analyze user behavior, achieve precise marketing, enhance the platform's popularity and influence, and promote product sales and user growth.

[0083] The data statistics and analysis module is used to comprehensively collect and analyze the platform's sales data, user data, and marketing results. It provides merchants with detailed reports and data support to help them understand their business situation, optimize decision-making, and improve the platform's operational efficiency and competitiveness.

[0084] The core module for buy-one-get-one-free rebates includes:

[0085] The buy-one-get-one-free rule configuration unit is used by merchants to set buy-one-get-one-free rules for each product;

[0086] The pickup quota management unit is used to manage the pickup quota obtained by users after purchasing goods;

[0087] The commission calculation and distribution unit is used to calculate and distribute the commission earned by users through sharing product links;

[0088] The sharing behavior tracking unit is used to track users' behavior of sharing product links and record relevant data;

[0089] The Buy-One-Get-Free-Rebate Performance Evaluation Unit is used to evaluate the effectiveness of buy-one-get-free-rebate promotions.

[0090] The cross-platform sharing feature allows users to share product links across multiple social media platforms.

[0091] The buy-one-get-one-free rule configuration unit further includes a dynamic rule adjustment subunit, used to dynamically adjust the buy-one-get-one-free rules according to market demand; wherein the dynamic rule adjustment subunit adjusts the rules based on the following formula:

[0092] New purchase bonus ratio = α × old purchase bonus ratio + β × (market demand change rate - average market demand change rate)

[0093] Among them, α and β are weighting coefficients used to balance the impact of the old buy-one-get-one-free ratio and the rate of change in market demand, ensuring that the adjustment of the buy-one-get-one-free rules takes into account both historical data and new market changes.

[0094] The dynamic rule adjustment subunit also includes a market trend analysis module, which analyzes and predicts market trends to adjust the buy-one-get-one-free rules more accurately.

[0095] The dynamic rule adjustment subunit also includes a rule adjustment history module, which records detailed information for each rule adjustment, including the adjustment time, the buy-one-get-one-free ratio before and after the adjustment, and the reason for the adjustment, so as to facilitate tracking and auditing.

[0096] The commission calculation and distribution unit includes: an automatic commission rate calculation sub-unit, which automatically calculates the commission amount based on the commission rate set by the merchant. The specific calculation method is as follows:

[0097] Rebate amount = Purchase amount × Rebate percentage

[0098] Among them, purchase amount: the actual transaction amount generated through the shared link; commission rate: the commission rate set by the merchant. This formula ensures the accurate calculation of the commission amount, so that users can receive the corresponding commission based on the actual transaction amount.

[0099] The automatic commission rate calculation sub-unit also includes a commission rate review module, which is used to review whether the commission rate set by the merchant is reasonable, so as to prevent excessively high commissions from causing losses to the platform.

[0100] The automatic commission rate calculation sub-unit also includes a commission cap setting module, which allows the platform to set a commission cap for each product category to control commission costs.

[0101] The redemption quota management unit includes: an intelligent recommendation subunit, used to recommend redeemable goods based on the user's purchase history and preferences; the recommendation algorithm is based on the following formula:

[0102]

[0103] Among them, w i p is the weight of the i-th preference feature. i is the user's rating for the i-th preference feature, and n is the total number of preference features. This formula takes into account the user's preference features to calculate the recommendation index for each product.

[0104] The intelligent recommendation subunit also includes a user feedback collection module, used to collect user feedback on recommended products, including purchase, browsing, and rating behaviors, in order to optimize the recommendation algorithm.

[0105] The intelligent recommendation subunit also includes a recommendation result optimization module, which dynamically adjusts the parameters of the recommendation algorithm based on user feedback and system evaluation results to improve the accuracy of recommendations and user satisfaction.

[0106] The sharing behavior tracking unit includes an incentive sub-unit, used to provide incentives based on user sharing behavior. Incentive points are calculated as follows:

[0107] Incentive points = k × log(1 + number of valid shares)

[0108] Where k is the incentive coefficient, used to adjust the growth rate of incentive points to ensure the rationality and effectiveness of incentive measures; effective sharing count: the number of times a user successfully shares a product link;

[0109] The incentive measures sub-unit also includes an incentive effectiveness evaluation module, which is used to evaluate the effectiveness of incentive measures, including user activity, number of shares, and conversion rate metrics;

[0110] The incentive measures sub-unit also includes an incentive strategy adjustment module, which dynamically adjusts the incentive strategy based on the results of the incentive effect evaluation to improve the effectiveness of the incentive.

[0111] The "Buy One Get One Free" and "Cashback" performance evaluation unit includes an optimization suggestion sub-unit, which provides merchants with optimization suggestions based on the evaluation results. The optimization index is calculated as follows:

[0112] Optimization index = ×100%

[0113] Among them, the target achievement rate is the ratio of the actual sales target achieved to the set target; the baseline achievement rate is the sales target achievement rate under the baseline condition. This formula evaluates the effectiveness of the buy-one-get-one-free rebate activity by comparing the difference between the target achievement rate and the baseline achievement rate, and provides merchants with a basis for optimizing the activity.

[0114] The cross-platform sharing unit includes a cross-platform commission calculation sub-unit, which is used to calculate the commission amount based on the sharing performance on different social media platforms. The formula for calculating the total commission amount is as follows:

[0115]

[0116] Among them, c j is the rebate rate for the j-th social platform, where the transaction amount on platform j is the total transaction amount on the j-th social platform, and m is the total number of social platforms. This formula summarizes and calculates the rebate amount corresponding to the transaction amount generated by the user's sharing behavior on different social platforms.

[0117] The cross-platform sharing unit also includes a platform data integration module, used to integrate data from different social media platforms to ensure data consistency and accuracy; this module includes the following functions:

[0118] Data collection: Collect sharing and transaction data from various social media platforms;

[0119] Data cleaning: removing invalid or erroneous data to ensure data quality;

[0120] Data integration: Integrate the cleaned data into a unified data model to facilitate the calculation of commission amounts;

[0121] The cross-platform sharing unit commission allocation strategy allocates commissions based on user activity and conversion rates on the social platform. The specific formula for calculating the commission rate is as follows:

[0122]

[0123] Rebate rate j: Represents the commission rate of the j-th social platform; User activity j· represents the user activity of the j-th social platform, which can be a metric such as daily active users or monthly active users; Conversion rate j : Represents the conversion rate of the j-th social platform, that is, the proportion of transactions achieved through sharing links on this platform to the total transactions; m: Represents the total number of social platforms;

[0124] In this way, the cross-platform sharing unit can reasonably allocate commission rebates based on the contribution of different social platforms, thereby incentivizing users to share on multiple social platforms, increasing product exposure and sales. At the same time, the cross-platform data integration module ensures the accuracy and consistency of the data, providing reliable data support for the calculation of commission rebates.

[0125] Through the collaborative work of these modules, the mobile shopping platform's buy-one-get-one-free and commission-based sales system can effectively enhance user engagement and loyalty, improve the accuracy and effectiveness of marketing activities, and expand the platform's social influence, thereby strengthening the platform's competitiveness and market position.

[0126] Example 2:

[0127] A mobile shopping platform's buy-one-get-one-free and commission-rebate method and sales system, the steps of which are as follows:

[0128] S01. User Registration and Authentication: Users register on the mobile shopping platform using their mobile phone number, email address, or social media account and complete real-name authentication to ensure the authenticity and legality of the user's identity;

[0129] S02. Product Listing and Categorization: Merchants upload product information on the platform, including images, descriptions, prices, and inventory, and categorize them so that users can quickly find and filter products of interest;

[0130] S03. Purchase and Gift Rules Configuration: Merchants set purchase and gift rules for each product, such as "buy one get one free" or "gift with purchase amount", and dynamically adjust these rules according to market demand through the dynamic rule adjustment sub-unit;

[0131] S04. User Selection and Order Generation: Users select products on the platform, add them to their shopping cart, generate an order, and complete the payment process in the payment and settlement module. The system integrates multiple payment methods to provide a secure and convenient payment experience.

[0132] S05. Redemption Quota Management: After purchasing goods, users obtain redemption quotas according to the buy-one-get-one-free rules, and these quotas are managed through the intelligent recommendation sub-unit, which recommends goods that users can redeem.

[0133] S06. Rebate Calculation and Distribution: Users receive rebates by sharing product links. The rebate calculation and distribution unit automatically calculates and distributes the rebate amount according to the rebate ratio set by the merchant.

[0134] S07. Sharing Behavior Tracking and Incentives: The sharing behavior tracking unit records users' behavior of sharing product links and provides incentives based on users' sharing behavior through the incentive measures sub-unit;

[0135] S08. Evaluation and Optimization of Buy-One-Get-One-Free Rebate Effect: The Buy-One-Get-One-Free Rebate Effect Evaluation Unit regularly evaluates the effectiveness of the campaign, and the Optimization Suggestion Sub-Unit provides merchants with optimization suggestions based on the evaluation results to improve the platform's sales performance and user activity.

[0136] To demonstrate how this invention improves user engagement and loyalty, Table 1 below provides a comparison of user behavior data before and after implementing this solution.

[0137] Table 1:

[0138]

[0139] Table 2:

[0140]

[0141] Table 1 shows a comparison of user behavior data before and after the implementation of this solution. Numbers #1 to #6 represent data before implementation. Table 2 shows a comparison of user behavior data before and after the implementation of this solution. Numbers #7 to #12 represent data after implementation.

[0142] Average monthly logins increased from 10 times (#2) before implementation to 30 times (#8) after implementation, indicating that users are accessing the platform more frequently.

[0143] The average number of purchases per month increased from 3.33 (#4) to 10 (#10), indicating that users are more active in making purchases on the platform.

[0144] The average number of monthly shares increased from 5 (#6) to 15 (#12), indicating that users are more willing to share product links, thus increasing the platform's exposure and potential customers.

[0145] As shown in Table 1-2, after implementing this solution, the average number of monthly logins, purchases, and shares by users all increased, indicating a significant improvement in user engagement and loyalty.

[0146] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. It will be apparent to those skilled in the art that the invention is not limited to the details of the exemplary embodiments described above, and that the invention can be implemented in other specific forms without departing from its spirit or essential characteristics. Therefore, the embodiments should be considered illustrative and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description. Thus, all variations falling within the meaning and scope of equivalents of the claims are intended to be included within the scope of the invention. No reference numerals in the claims should be construed as limiting the scope of the claims.

[0147] Furthermore, it should be understood that although this specification describes embodiments, not every embodiment contains only one independent technical solution. This narrative style is merely for clarity. Those skilled in the art should consider the specification as a whole, and the technical solutions in each embodiment can also be appropriately combined to form other embodiments that can be understood by those skilled in the art.

Claims

1. A mobile shopping platform buy-one-get-one-free rebate sales system, characterized in that: It includes modules for user management, product management, order management, payment and settlement, buy-one-get-one-free and commission-rebate, marketing and promotion, and data statistics and analysis. The user management module is used to realize user registration, authentication, information maintenance, and permission and level management on the platform, to ensure the authenticity and security of user identity, while providing users with personalized services and rights, and improving user experience and loyalty. The product management module is used by merchants to list, categorize, configure buy-one-get-one-free rules, and monitor inventory and status of products on the platform, ensuring the accuracy and timeliness of product information and improving product manageability and sales efficiency. The order management module is used by users to select goods, add them to their shopping cart, generate and process orders, and track and manage orders on the platform. It provides a convenient shopping process and an efficient order processing mechanism to ensure the user's shopping experience and the merchant's order execution efficiency. The payment and settlement module is used to enable users to make payments on the platform, integrates multiple payment methods, provides a safe and convenient payment experience, and processes the settlement logic of orders to ensure the accuracy and security of transactions. The core module for purchase-gift-and-rebate is used to implement the platform's purchase-gift-and-rebate mechanism, automatically calculate and distribute the redemption amount and rebate amount that users should receive after purchasing goods, incentivize users to purchase and share, and improve the platform's sales performance and user activity. The marketing and promotion module is used by merchants to plan and publish various marketing activities on the platform, manage promotion channels, analyze user behavior, achieve precise marketing, enhance the platform's popularity and influence, and promote product sales and user growth. The data statistics and analysis module is used to comprehensively collect and analyze the platform's sales data, user data, and marketing results, providing merchants with detailed reports and data support to help them understand their business situation, optimize decision-making, and improve the platform's operational efficiency and competitiveness.

2. The mobile shopping platform buy-one-get-one-free rebate sales system according to claim 1, characterized in that: The core module for buy-one-get-one-free rebates includes: The buy-one-get-one-free rule configuration unit is used by merchants to set buy-one-get-one-free rules for each product; The pickup quota management unit is used to manage the pickup quota obtained by users after purchasing goods; The commission calculation and distribution unit is used to calculate and distribute the commission earned by users through sharing product links; The sharing behavior tracking unit is used to track users' behavior of sharing product links and record relevant data; The Buy-One-Get-Free-Rebate Performance Evaluation Unit is used to evaluate the effectiveness of buy-one-get-free-rebate promotions. The cross-platform sharing feature allows users to share product links across multiple social media platforms.

3. The mobile shopping platform buy-one-get-one-free rebate sales system according to claim 2, characterized in that: The buy-one-get-one-free rule configuration unit further includes: a dynamic rule adjustment subunit, used to dynamically adjust the buy-one-get-one-free rules according to market demand; wherein the dynamic rule adjustment subunit adjusts the rules based on the following formula: New purchase bonus ratio = α × old purchase bonus ratio + β × (market demand change rate - average market demand change rate) Among them, α and β are weighting coefficients used to balance the impact of the old buy-one-get-one-free ratio and the rate of change in market demand, ensuring that the adjustment of the buy-one-get-one-free rules takes into account both historical data and new market changes. The dynamic rule adjustment subunit also includes a market trend analysis module, which is used to analyze and predict market trends in order to adjust the buy-one-get-one-free rules more accurately. The dynamic rule adjustment subunit also includes a rule adjustment history module, which records detailed information for each rule adjustment, including the adjustment time, the purchase-gift ratio before and after the adjustment, and the reason for the adjustment, so as to facilitate tracking and auditing.

4. The mobile shopping platform buy-one-get-one-free rebate sales system according to claim 2, characterized in that: The commission calculation and distribution unit includes: an automatic commission rate calculation subunit, used to automatically calculate the commission amount based on the commission rate set by the merchant. The specific calculation method is as follows: Rebate amount = Purchase amount × Rebate percentage Among them, purchase amount: the actual transaction amount generated through the shared link; commission rate: the commission rate set by the merchant. This formula ensures the accurate calculation of the commission amount, so that users can receive the corresponding commission based on the actual transaction amount. The automatic commission rate calculation subunit also includes a commission rate review module, which is used to review whether the commission rate set by the merchant is reasonable, so as to prevent excessively high commissions from causing losses to the platform. The automatic commission rate calculation subunit also includes a commission cap setting module, which allows the platform to set a commission cap for each product category in order to control commission costs.

5. The mobile shopping platform buy-one-get-one-free rebate sales system according to claim 2, characterized in that: The redemption quota management unit includes: an intelligent recommendation subunit, used to recommend redeemable goods based on the user's purchase history and preferences; the recommendation algorithm is based on the following formula: Among them, w i p is the weight of the i-th preference feature. i is the user's rating for the i-th preference feature, and n is the total number of preference features. This formula takes into account the user's preference features to calculate the recommendation index for each product. The intelligent recommendation subunit also includes a user feedback collection module, used to collect user feedback on recommended products, including purchase, browsing, and rating behaviors, in order to optimize the recommendation algorithm. The intelligent recommendation subunit also includes a recommendation result optimization module, which dynamically adjusts the parameters of the recommendation algorithm based on user feedback and system evaluation results to improve the accuracy of recommendations and user satisfaction.

6. The mobile shopping platform buy-one-get-one-free rebate sales system according to claim 2, characterized in that: The sharing behavior tracking unit includes an incentive subunit, used to provide incentives based on user sharing behavior, wherein incentive points are calculated as follows: Incentive points = k × log(1 + number of valid shares) Where k is the incentive coefficient, used to adjust the growth rate of incentive points to ensure the rationality and effectiveness of incentive measures; effective sharing count: the number of times a user successfully shares a product link; The incentive measures subunit also includes an incentive effect evaluation module, which is used to evaluate the effectiveness of the incentive measures, including user activity, number of shares, and conversion rate indicators. The incentive measures subunit also includes an incentive strategy adjustment module, which dynamically adjusts the incentive strategy based on the results of the incentive effect evaluation to improve the effectiveness of the incentive.

7. The mobile shopping platform buy-one-get-one-free rebate sales system according to claim 2, characterized in that: The purchase-gift-and-rebate effect evaluation unit includes an optimization suggestion sub-unit, which provides optimization suggestions to merchants based on the evaluation results. The optimization index is calculated as follows: Among them, the target achievement rate is the ratio of the actual sales target achieved to the set target; the baseline achievement rate is the sales target achievement rate under the baseline condition. This formula evaluates the effectiveness of the buy-one-get-one-free rebate activity by comparing the difference between the target achievement rate and the baseline achievement rate, and provides merchants with a basis for optimizing the activity.

8. The mobile shopping platform buy-one-get-one-free rebate sales system according to claim 2, characterized in that: The cross-platform sharing unit includes a cross-platform commission calculation subunit, used to calculate the commission amount based on the sharing effect on different social platforms. The formula for calculating the total commission amount is as follows: Total Commission Among them, c j is the rebate rate for the j-th social platform, where the transaction amount on platform j is the total transaction amount on the j-th social platform, and m is the total number of social platforms. This formula summarizes and calculates the rebate amount corresponding to the transaction amount generated by the user's sharing behavior on different social platforms.

9. The mobile shopping platform buy-one-get-one-free rebate sales system according to claim 8, characterized in that, The cross-platform sharing unit also includes a platform data integration module, used to integrate data from different social platforms to ensure data consistency and accuracy; this module includes the following functions: Data collection: Collect sharing and transaction data from various social media platforms; Data cleaning: removing invalid or erroneous data to ensure data quality; Data integration: Integrate the cleaned data into a unified data model to facilitate the calculation of commission amounts; The cross-platform sharing unit commission allocation strategy allocates commissions based on user activity and conversion rates on the social platform. The specific formula for calculating the commission rate is as follows: Rebate rate j : Represents the commission rate of the j-th social platform; User activity j. represents the user activity of the j-th social platform, which can be a metric such as daily active users or monthly active users; Conversion rate j : Represents the conversion rate of the j-th social platform, that is, the proportion of transactions achieved through sharing links on this platform to the total transactions; m: Represents the total number of social platforms; In this way, the cross-platform sharing unit can reasonably allocate commission rebates based on the contribution of different social platforms, thereby incentivizing users to share on multiple social platforms, increasing product exposure and sales. At the same time, the cross-platform data integration module ensures the accuracy and consistency of the data, providing reliable data support for the calculation of commission rebates.

10. The mobile shopping platform buy-one-get-one-free commission method according to claim 1, characterized in that, The steps are as follows: S01. User Registration and Authentication: Users register on the mobile shopping platform using their mobile phone number, email address, or social media account and complete real-name authentication to ensure the authenticity and legality of the user's identity; S02. Product Listing and Categorization: Merchants upload product information on the platform, including images, descriptions, prices, and inventory, and categorize them so that users can quickly find and filter products of interest; S03. Purchase and Gift Rules Configuration: Merchants set purchase and gift rules for each product, such as "buy one get one free" or "gift with purchase amount", and dynamically adjust these rules according to market demand through the dynamic rule adjustment sub-unit; S04. User Selection and Order Generation: Users select products on the platform, add them to their shopping cart, generate an order, and complete the payment process in the payment and settlement module. The system integrates multiple payment methods to provide a secure and convenient payment experience. S05. Redemption Quota Management: After purchasing goods, users obtain redemption quotas according to the buy-one-get-one-free rules, and these quotas are managed through the intelligent recommendation sub-unit, which recommends goods that users can redeem. S06. Rebate Calculation and Distribution: Users receive rebates by sharing product links. The rebate calculation and distribution unit automatically calculates and distributes the rebate amount according to the rebate ratio set by the merchant. S07. Sharing Behavior Tracking and Incentives: The sharing behavior tracking unit records users' behavior of sharing product links and provides incentives based on users' sharing behavior through the incentive measures sub-unit; S08. Evaluation and Optimization of Buy-One-Get-One-Free Rebate Effect: The Buy-One-Get-One-Free Rebate Effect Evaluation Unit regularly evaluates the effectiveness of the campaign, and the Optimization Suggestion Sub-Unit provides merchants with optimization suggestions based on the evaluation results to improve the platform's sales performance and user activity.

Images