A supermarket production party's promotion diversion lock customer application system and method

Abstract

The application discloses a kind of supermarket production party's promotion diversion lock customer application system and method, system includes main system application module, distributor system module and customer end system module;Method includes step one, user login and identity verification;Step two, market analysis and amount formulation;Step three, member recharge and preferential distribution;Step four, commodity shopping and commission cancellation;Step five, refueling consumption and subsidy distribution;Step six, data sharing and upgrade development;The application is designed with price design module, the price of commodity can be designed, effectively free flow, let consumer obtain free commodity even through this software system is consumed and obtains the return higher than original commodity, let many parties can benefit in participation, improve the shopping enthusiasm of customer;Meanwhile designed with member processing module, set different recharge amount and send different quantity and amount of commodity coupon and refueling coupon, improve the enthusiasm of customer shopping.

Description

Technical Field

[0001] This invention relates to the field of promotion, customer acquisition, and retention technology, specifically to a promotion, customer acquisition, and retention application system and method for supermarket manufacturers. Background Technology

[0002] With the development of e-commerce, traditional sales methods, in order to win the market, can only resort to price competition, which often results in a lose-lose situation where no one benefits. This often leads to reduced product quality, or even adulteration and deception of consumers. Take the bean sprout industry as an example: with large-scale, industrialized production, competition in the bean sprout industry has reached a fever pitch. Major manufacturers are constantly dumping products below cost, resulting in unscrupulous methods to reduce costs and increase output. A bean sprout factory becomes a chemical plant, seriously endangering consumer health and safety. Zero-additive bean sprout sales face severe market competition; without price, appearance, or output advantages, simply selling products can only lead to losses and a lack of market presence. Businesses and manufacturers across various industries face a similar situation to the bean sprout industry. Therefore, the market urgently needs a new sales model that benefits businesses, consumers, manufacturers, and gas stations—a mutually beneficial model where each participant can obtain different profits.

[0003] However, traditional promotional and customer acquisition systems fail to meet people's needs, exhibiting the following shortcomings: First, they lack a pricing module, making it impossible to effectively design product prices and balance the benefits of different participants. This results in a disproportionate relationship between the participants' profits and their efforts, hindering customer purchase motivation and preventing the other three parties from establishing effective partnerships. Second, they lack a membership management module. After customers recharge and become members, no corresponding rewards are offered, failing to improve customer satisfaction and making membership value lower than normal consumption levels. Furthermore, the number of members significantly impacts the profits of other participants; a decrease in members hinders increased customer traffic at merchants and gas stations, reducing purchase rates. The platform also fails to provide reasonable compensation to other parties, failing to effectively balance profits and hindering effective cooperation. Third, they lack a reward-based Q&A module. For successful recharges, there are no additional rewards such as red envelopes or engaging activities, failing to effectively pique user interest, increase recharge amounts, or provide additional emotional value and knowledge learning, thus reducing member motivation to recharge. Summary of the Invention

[0004] The purpose of this invention is to provide a promotional, customer acquisition, and retention application system and method for supermarket manufacturers to solve the problems mentioned in the background art.

[0005] To achieve the above objectives, the present invention provides the following technical solution: a promotional, customer acquisition, and retention application system for supermarket manufacturers, comprising a main system application module. The main system application module includes a multimodal data collection module, which is connected to a data preprocessing module, an algorithm analysis module, and a market forecasting module. The data preprocessing module establishes data connections with the algorithm analysis module and the market forecasting module. The market forecasting module is connected to a price design module, a commission processing module, a development and upgrade module, and a data sharing module. The price design module establishes data connections with the commission processing module and the data sharing module. The data preprocessing module includes a filtering module, a denoising module, and a normalization module. The filtering module establishes data connections with the denoising module and the normalization module. The algorithm analysis module includes a data synthesis module, an algorithm calculation module, a curve generation module, and a model optimization module. The data synthesis module establishes data connections with the algorithm calculation module, the curve generation module, and the model optimization module.

[0006] As a further technical solution of the present invention, the main system application module is connected to the agent system module and the gas station system module, the agent system module is connected to the distributor system module, the main system application module is connected to the customer-end system module, and the customer-end system module establishes a data connection with the agent system module, the distributor system module and the gas station system module.

[0007] As a further technical solution of the present invention, the agent system module includes a login verification module, on which a product distribution module, a commission processing module, a visualization detail module and a data aggregation module are connected. The product distribution module establishes a data connection with the commission processing module, and the visualization detail module establishes a data connection with the data aggregation module.

[0008] As a further technical solution of the present invention, the distributor system module includes a distributor login module, which is connected to a product sales module, a distributor QR code verification module, a distributor commission receiving module, and a revenue details module. The product sales module is connected to the distributor QR code verification module, and the distributor commission receiving module is connected to the revenue details module.

[0009] As a further technical solution of the present invention, the gas station system module includes a gas station login module, which includes a fuel nozzle selection module, a gas station verification module, a platform subsidy module, and a consumption details module. The fuel nozzle selection module establishes a data connection with the gas station verification module, and the platform subsidy module establishes a data connection with the consumption details module.

[0010] As a further technical solution of the present invention, the customer-end system module includes a registration and login module, which is connected to a member recharge module, a coupon distribution module, a shopping recommendation module, a prize quiz module, and a redemption code generation module. The member recharge module establishes a data connection with the coupon distribution module and the redemption code generation module.

[0011] A promotional, customer acquisition, and retention application method for supermarket manufacturers includes the following steps: Step 1, user login and identity verification; Step 2, market analysis and spending quota setting; Step 3, member top-up and discount distribution; Step 4, product shopping and commission verification; Step 5, fuel consumption and subsidy distribution; Step 6, data sharing and upgrade development.

[0012] In step one above, login verification for different user terminals is completed through the login verification module, distribution login module, refueling login module, and registration login module, and the permissions of different user terminals can be modified through the main system application module;

[0013] In step two above, the market forecasting module summarizes the current market sales situation of goods, and the price design module designs the price of goods so that all participants can benefit.

[0014] In step three above, ordinary users are upgraded to members through the membership recharge module, and coupons are issued based on the set discount levels.

[0015] In step four above, the coupons are used through the distribution QR code verification module, and the agent system module and the distributor system module receive commission payments.

[0016] In step five above, the fuel coupons are used through the fuel redemption module, so that the gas station system module can receive subsidies.

[0017] In step six above, the current sales situation is shared through the data sharing module, unreasonable amounts are modified in real time, and the system can be further developed and upgraded through the development and upgrade module.

[0018] As a further technical solution of the present invention, in step two, current market data is collected through a multimodal data collection module, processed through a data preprocessing module, and filtered through a filtering module to effectively suppress and prevent interference in the data signal, ensuring the authenticity and validity of the data. Digital filtering reduces the proportion of interference in useful data, improving data authenticity. A denoising module effectively improves the performance and robustness of the data model and enhances data feature extraction. A normalization module eliminates dimensional differences between different features, making feature values ​​comparable and ensuring that model training is not biased due to different feature value ranges. It evenly focuses on all features, preventing certain features from dominating model training due to excessively large values, thereby improving the model's prediction accuracy and stability. After data preprocessing, the data is processed through an algorithm analysis module, summarized through a data synthesis module, and calculated and analyzed through an algorithm calculation module. The algorithm employs multimodal fusion. By integrating deep neural networks, data from different sensors or in different formats can be effectively combined. Deep neural networks automatically learn high-level abstract features of the data, thereby achieving multimodal data fusion. This effectively improves the accuracy and reliability of information, enhances the system's understanding and reasoning capabilities, significantly improves system performance and security, and optimizes operational and marketing strategies through advanced data analysis and prediction tools. This effectively enhances the system's market application prospects and improves its functionality. It integrates different data and makes reasonable predictions, providing automated services for subsequent system operation. After calculation, the results are optimized through curve generation and model optimization modules, and future results are predicted through a market prediction module. The pricing module sets the product price, the fee processing module sets the data amount for different user terminals, the member recharge amount and coupon amount, the commission amount for agents and distributors, and the subsidy amount and single-use refueling credit for gas stations, ensuring that all participants can profit.

[0019] As a further technical solution of the present invention, in step three, the membership upgrade of ordinary users is completed through the membership recharge module, and coupons are issued according to the set discount level. The recharge is performed by recharging the set membership amount, and after the recharge, the ordinary user's level is upgraded. Coupons are issued according to the recharge amount. The coupon issuance module allows selection of coupons; users can choose a combination of fuel coupons and product coupons, generating the required product code. Alternatively, users can choose to forgo fuel coupons and only select product coupons, generating another product code. Store recommendations are provided for different coupons. The shopping recommendation module recommends different merchants and stores based on discount levels and distance, and performs a comprehensive analysis of the available discounts and desired items, listing recommended stores for members according to a comprehensive ranking. Members can view this information. Members can view recommended store information and select suitable stores to make purchases, making it convenient for them to quickly process coupons. After recharging, members can participate in a quiz game through the prize-winning module to increase the fun of the activity. Members who successfully recharge can participate in the prize-winning quiz page that the system redirects to. Members can choose the category of the question based on their expertise. After completing the quiz, the system will reward members with a red envelope based on their score. The reward amount will be deducted from the member's subsequent recharges to increase the fun of the activity. Members can learn some life tips from the activity and receive red envelope rewards, increasing the member's enthusiasm for recharging. When a member successfully recharges 100 times, the system will prompt the member to claim the corresponding activity gift pack. The redemption code can be generated through the redemption code generation module and the gift pack can be claimed offline. The number of recharges can be set through the system.

[0020] As a further technical solution of the present invention, in step six, the current sales situation is shared through the data sharing module, the sales situation of the current market and the optimized system is compared by analyzing the sales situation, the amount of the product with negative sales is reset, unreasonable amount is modified in real time, and the interface of the mini program is reserved through the development and upgrade module, which is flexible and easy to upgrade and develop later. The function can be simulated and monitored in real time, and the problematic parts can be upgraded and improved in a timely manner.

[0021] Compared with existing technologies, the beneficial effects of this invention are as follows: This invention includes a price design module that can design the price of goods, effectively attracting customers to supermarkets and gas stations for free, allowing manufacturers to obtain reasonable profits, and enabling consumers to obtain free goods or even higher returns than the original goods through this software system. This benefits all parties involved and increases customer shopping enthusiasm. Simultaneously, a membership processing module is designed, setting different amounts of gift coupons and gas coupons for different recharge amounts, and setting the number of coupons usable per transaction. This allows users to receive different free gifts after becoming members, further increasing customer shopping enthusiasm, while the platform deducts corresponding handling fees. After deducting the platform's subsidies to gas stations, the remaining funds are set as commissions for agents or distributors, increasing the income of manufacturers and merchants, improving gas station staff turnover, and boosting gas station revenue, allowing all parties to profit. A quiz section with prizes is also included. Members who successfully recharge can participate in the quiz on the system's redirect page. Members can choose the question category based on their expertise, and after completing the quiz, the system awards a red envelope based on the member's score. The reward amount is deducted from subsequent recharges, increasing the fun of the activity. Members can learn some life tips from the activity and receive red envelope rewards, increasing their enthusiasm for recharging. Attached Figure Description

[0022] Figure 1 This is a system structure diagram of the present invention;

[0023] Figure 2 This is a module architecture diagram of the data preprocessing module of the present invention;

[0024] Figure 3 This is a module architecture diagram of the algorithm analysis module of the present invention;

[0025] Figure 4 This is a flowchart of the method of the present invention;

[0026] Figure 5 This is a system flowchart of the present invention.

[0027] In the diagram: 1. Main System Application Module; 11. Multimodal Data Collection Module; 12. Data Preprocessing Module; 121. Filtering Module; 122. Noise Reduction Module; 123. Normalization Module; 13. Algorithm Analysis Module; 131. Data Synthesis Module; 132. Algorithm Calculation Module; 133. Curve Generation Module; 134. Model Optimization Module; 14. Market Forecasting Module; 15. Price Design Module; 16. Fee Processing Module; 17. Development and Upgrade Module; 18. Data Sharing Module; 2. Agent System Module; 21. Login Verification Module; 22. Product Distribution Module; 23. Commission Processing Module; 24. Visualized Details Module; 25. Data Summary Module; 3. Distributor System Module; 31. Distributor Login Module; 32. Product Sales Module; 33. Distributor QR Code Verification Module; 34. Distributor Commission Collection Module; 35. Revenue Details Module; 4. Gas Station System Module; 41. Gas Station Login Module; 42. Fuel Nozzle Selection Module; 43. Gas Station Verification Module; 44. Platform Subsidy Module; 45. Consumption Details Module; 5. Customer-Side System Module; 51. Registration and Login Module; 52. Member Recharge Module; 53. Coupon Issuance Module; 54. Shopping Recommendation Module; 55. Prize Quiz Module; 56. Redemption Code Generation Module. Detailed Implementation

[0028] 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 skilled in the art without creative effort are within the scope of protection of the present invention.

[0029] Please see the appendix Figure 1 -Appendix Figure 3This invention provides an embodiment of a promotional, customer acquisition, and retention application system for supermarket manufacturers, comprising a main system application module 1. The main system application module 1 includes a multimodal data collection module 11. The multimodal data collection module 11 is connected to a data preprocessing module 12, an algorithm analysis module 13, and a market forecasting module 14. The data preprocessing module 12 establishes data connections with the algorithm analysis module 13 and the market forecasting module 14. The market forecasting module 14 is connected to a price design module 15, a commission processing module 16, a development and upgrade module 17, and a data sharing module 18. The price design module 15 is connected to the commission processing module 16 and the data sharing module 18. The data preprocessing module 12 establishes data connections, including a filtering module 121, a denoising module 122, and a normalization module 123. The filtering module 121 establishes data connections with the denoising module 122 and the normalization module 123. The algorithm analysis module 13 includes a data synthesis module 131, an algorithm calculation module 132, a curve generation module 133, and a model optimization module 134. The data synthesis module 131 establishes data connections with the algorithm calculation module 132, the curve generation module 133, and the model optimization module 134. The main system application module 1 has data connections to the agent system module 2 and the gas station system module 4. The agent system module 2... The main system application module 1 connects to the distributor system module 3 via data connection, and to the customer-end system module 5 via data connection. The customer-end system module 5 establishes data connections with the agent system module 2, distributor system module 3, and gas station system module 4. The main system application module 1 is used for data processing and prediction, and for controlling other clients. The agent system module 2 includes a login verification module 21, which connects to the product distribution module 22, commission processing module 23, visualization detail module 24, and data aggregation module 25 via data connection. The product distribution module 22 establishes a data connection with the commission processing module 23, and the visualization detail module 24 establishes a data connection with the data aggregation module 25. Block 25 establishes a data connection. Agent system module 2 is used to process various functions of agents, collect commissions, add distributors, and summarize sales. Distributor system module 3 includes distributor login module 31. Data connections on distributor login module 31 include product sales module 32, distributor QR code verification module 33, distributor commission collection module 34, and revenue details module 35. Product sales module 32 establishes a data connection with distributor QR code verification module 33, and distributor commission collection module 34 establishes a data connection with revenue details module 35. Distributor system module 3 is used to sell products, verify coupons, and collect commissions.Gas station system module 4 includes a gas station login module 41, which includes a fuel nozzle selection module 42, a fuel verification module 43, a platform subsidy module 44, and a consumption details module 45. The fuel nozzle selection module 42 establishes a data connection with the fuel verification module 43, and the platform subsidy module 44 establishes a data connection with the consumption details module 45. Gas station system module 4 is used to verify coupons, adjust discount levels, and claim subsidies. Customer-side system module 5 includes a registration and login module 51, which connects to a member recharge module 52, a coupon distribution module 53, a shopping recommendation module 54, a prize quiz module 55, and a redemption code generation module 56. The member recharge module 52 establishes a data connection with the coupon distribution module 53 and the redemption code generation module 56. Customer-side system module 5 is used for member recharge, claiming different discounts, and recommending different discount stores.

[0030] Please see the appendix Figure 4 -Appendix Figure 5 The present invention provides an embodiment of a promotional, customer acquisition, and retention application method for supermarket manufacturers, comprising: Step 1, user login and identity verification; Step 2, market analysis and amount setting; Step 3, member recharge and discount distribution; Step 4, product shopping and commission verification; Step 5, fuel consumption and subsidy distribution; Step 6, data sharing and upgrade development.

[0031] In step one above, login verification for different user terminals is completed through login verification module 21, distribution login module 31, refueling login module 41 and registration login module 51, and the permissions of different user terminals can be modified through the main system application module 1.

[0032] In step two above, the market forecasting module 14 summarizes the current market sales situation, and the price design module 15 designs the price of the goods to ensure that all participants benefit. The multimodal data collection module 11 collects current market data, the data preprocessing module 12 processes the collected data, and the filtering module 121 filters the data to effectively suppress and prevent interference in the data signal, ensuring the authenticity and validity of the data. Digital filtering reduces the proportion of interference in useful data, improving the authenticity of the data. The noise processing module 122 denoises the data, effectively improving the performance and robustness of the data model and enhancing feature extraction. The normalization module 123 eliminates dimensional differences between features, ensuring comparability of feature values ​​and preventing bias during model training due to varying feature value ranges. It evenly focuses on all features, preventing certain features from dominating model training due to excessively large values, thereby improving the model's prediction accuracy and stability. After data preprocessing, the algorithm analysis module 13 processes the data, and the data synthesis module 131 summarizes the data and performs calculations... The calculation module 132 performs calculations and analysis on the data. The algorithm adopts a multimodal fusion deep neural network to effectively integrate data from different sensors or different forms. It also utilizes the deep neural network to automatically learn the high-level abstract features of the data, thereby realizing the fusion of multimodal data. This can effectively improve the accuracy and reliability of information, enhance the system's understanding and reasoning capabilities, significantly improve the system's performance and security, and optimize operation and marketing strategies through advanced data analysis and prediction tools. This effectively improves the system's market application prospects and enhances the system's functionality. It integrates different data and makes reasonable predictions to provide automated services for the subsequent operation of the system. After the calculation is completed, the results are optimized by the curve generation module 133 and the model optimization module 134. The market prediction module 14 predicts future results, and the price design module 15 sets the commodity amount. The handling fee processing module 16 sets the data amount for different user terminals, sets the member recharge amount and coupon amount, sets the commission amount for agents and distributors, and sets the subsidy amount and single refueling amount for gas stations, so that different participants can all benefit.

[0033] In step three above, the membership upgrade for ordinary users is completed through the membership recharge module 52, and coupons are issued according to the set discount level. The recharge is completed by recharging the set membership amount, and the ordinary user's level is upgraded. Coupons are issued based on the recharge amount. The coupon issuance module 53 allows selection of coupons; users can choose a combination of fuel coupons and product coupons, generating the required product code, or choose to forgo fuel coupons and only select product coupons, generating a different product code. Store recommendations are then provided for different coupons. The shopping recommendation module 54 recommends different merchants and stores based on their discount levels, and comprehensively analyzes the distance, available discount amount, and desired purchase items to list recommended stores for members in a comprehensive ranking. Members can view the information and choose from the recommended stores. Members can view store information and select suitable stores to make purchases, making it convenient for them to quickly process coupons. After recharging, they can participate in a quiz game through the prize-winning quiz module 55 to increase the fun of the activity. Members who successfully recharge can participate in the quiz page that the system redirects to. Members can choose the category of the question according to their expertise. After completing the quiz, the system will reward members with a red envelope based on their score. The reward amount will be deducted from the member's subsequent recharges to increase the fun of the activity. Members can learn some life tips from the activity and receive red envelope rewards, which will increase the member's enthusiasm for recharging. When a member successfully recharges 100 times, the system will prompt the member to claim the corresponding activity gift pack. The redemption code can be generated through the redemption code generation module 56 and the gift pack can be claimed offline. The number of recharges can be set through the system.

[0034] In step four above, the coupon is used through the distribution QR code verification module 33, and the agent system module 2 and the distributor system module 3 receive commission payments.

[0035] In step five above, the fuel coupon is used through fuel verification module 43, so that gas station system module 4 receives the subsidy.

[0036] In step six above, the current sales situation is shared through the data sharing module 18, and unreasonable amounts are modified in real time. The system can be further developed and upgraded through the development and upgrade module 17. The data sharing module 18 shares the current sales situation, compares the sales situation of the current market with that of the optimized system, sets the amount to be reproduced for products with negative sales, and modifies unreasonable amounts in real time. The development and upgrade module 17 reserves interfaces for the mini-program, making it flexible and easy to upgrade and develop later. The functions can be simulated and monitored in real time, and any problems can be upgraded and improved in a timely manner.

[0037] Based on the above, the advantages of this invention are as follows: When using this invention, login verification is first completed through login verification module 21, distribution login module 31, refueling login module 41, and registration login module 51 for different user terminals. The permissions of different user terminals can be modified through the main system application module 1. After login, the main system application module 1 collects current market data through the multimodal data collection module 11, processes the collected data through the data preprocessing module 12, and filters the data through the filtering module 121. This effectively suppresses and prevents interference in the data signal, ensuring the authenticity and validity of the data. Digital filtering reduces the proportion of interference in useful data, improving data authenticity. Noise reduction processing further enhances the effectiveness of the data. The data processing module 122 performs noise reduction on the data, which can effectively improve the performance and robustness of the data model and improve data feature extraction. The normalization module 123 eliminates the dimensional differences between different features, making the feature values ​​comparable and ensuring that the model training will not be biased due to different feature value ranges. It focuses on all features evenly and avoids certain features from dominating the model training due to excessively large values, thereby improving the prediction accuracy and stability of the model. After the data preprocessing is completed, the algorithm analysis module 13 processes the data, the data synthesis module 131 summarizes the data, and the algorithm calculation module 132 performs calculation and analysis on the data. The algorithm adopts a multimodal fusion deep neural network to integrate data from different sensors or different forms. By effectively integrating data and utilizing deep neural networks to automatically learn high-level abstract features, multimodal data fusion can be achieved, effectively improving the accuracy and reliability of information, enhancing the system's understanding and reasoning capabilities, significantly improving system performance and security, and optimizing operational and marketing strategies through advanced data analysis and prediction tools. This effectively enhances the system's market application prospects and improves its functionality. The system integrates different data and makes reasonable predictions, providing automated services for subsequent system operation. After calculation, the results are optimized through curve generation module 133 and model optimization module 134, future results are predicted through market prediction module 14, and the price design module 15 sets the commodity price. The system allows for setting data amounts for different user terminals via the fee processing module 16, including member recharge limits, coupon amounts, commission rates for agents and distributors, and subsidy amounts and single-use refueling limits for gas stations. This ensures that all participants can benefit. Users can upgrade their membership through the member recharge module 52 on the customer-side system module 5, and receive coupons based on the set discounts. Recharges are made using the set membership amount, which upgrades the user's level and distributes coupons based on the recharge amount. The coupon distribution module 53 allows users to select coupons, choosing between fuel coupons and merchandise coupons, and generates the required product codes.Alternatively, you can choose to forgo the gas coupon and only select the product coupon. Upon completion, a different product code will be generated, and store recommendations will be provided for different coupons. The shopping recommendation module 54 recommends different merchants and stores based on their discount levels, and comprehensively analyzes the available discount amount and desired purchase items. The recommended stores are then listed in a comprehensive ranking for members to view. Members can browse the recommended stores and select the appropriate one to make their purchase, facilitating quick coupon processing. After recharging, members can participate in a quiz game through the prize-winning quiz module 55 to increase the fun of the activity. Members who successfully recharge can participate in the quiz on the system's redirection page, choosing questions based on their areas of expertise. The system randomly selects a multiple-choice or true / false question for the user to answer. If the member chooses incorrectly, the system provides a hint and gives the member a second chance to choose, up to three times. After choosing correctly, the system provides a complete explanation of the knowledge. After completing the question and answer, the system rewards the member with a red envelope (cash reward). The reward amount is drawn from subsequent member recharges, with 2% of the recharge amount from the next 10 members being deducted as a bonus. The amount and percentage can be modified through the main system application module 1, effectively increasing the fun of the activity. Members can learn some life tips from the activity and receive red envelope rewards, increasing their enthusiasm for recharging. When a member successfully recharges 100 times, the system prompts the member to claim the corresponding activity gift pack. The code generation module 56 generates redemption codes and allows for offline redemption of gift packs. The number of redemptions can be set through the system. Users can go to the selected store to shop and use coupons. The distributor system module 3 sells products through the product sales module 32 and confirms the purchase of goods by scanning the codes of customers through the distribution code scanning and verification module 33. Coupons can be automatically used and verified when members pay. After completion, the commission issued by the system can be received through the distribution commission receiving module 34, and the member's commission details can be viewed through the income details module 35. The agent system module 2 sets up distributors through the product distribution module 22 and receives the commission issued by the system through the commission processing module 23. The user can view the commission details of distributors and members through the visualization module 24, and summarize the commission details through the data aggregation module 25 to generate daily and monthly summary reports. Simultaneously, users can use fuel coupons at system-recommended refueling locations. Through the fuel nozzle selection module 42 on the gas station system module 4, users can select the fuel nozzle number and fuel type, then select the refueling amount, add the corresponding gas station coupon, and make payment. The fuel verification module 43 scans the member's payment code, and automatically verifies the fuel coupon after scanning (the coupon must be automatically verified after the member completes payment at the gas station; failure to do so will result in the gas station not verifying the coupon, leading to a secondary subsidy from the platform, while the gas station incurs no loss).After completion, subsidies are claimed through the platform subsidy module 44, and transaction details are viewed through the consumption details module 45. The system can set a minimum withdrawal amount for gas stations, requiring backend confirmation upon withdrawal. The main system application module 1 can set the amount of gas coupons available at gas stations through the handling fee module 16, allowing different gas stations to set different discount levels. During system use, the main system application module 1 can share current sales data through the data sharing module 18, comparing the current market sales with the optimized system's sales data. It can reset the amounts for products with negative sales, modify unreasonable amounts in real time, and reserve interfaces for the mini-program through the development and upgrade module 17, enabling dynamic programming for future upgrades and development. It can also simulate and monitor functions in real time, promptly upgrading and improving any problematic parts.

[0038] It will be apparent to those skilled in the art that the present 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 in all respects as exemplary and non-limiting, 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 present invention. No reference numerals in the claims should be construed as limiting the scope of the claims.

Claims

1. A promotional, customer acquisition, and retention application system for supermarket manufacturers, comprising a main system application module (1), characterized in that: The main system application module (1) includes a multimodal data collection module (11). The multimodal data collection module (11) is connected to a data preprocessing module (12), an algorithm analysis module (13), and a market forecasting module (14). The data preprocessing module (12) establishes a data connection with the algorithm analysis module (13) and the market forecasting module (14). The market forecasting module (14) is connected to a price design module (15), a commission processing module (16), a development and upgrade module (17), and a data sharing module (18). The price design module (15) is connected to the commission processing module (16) and the data sharing module (18). The data preprocessing module (12) establishes a data connection. The data preprocessing module (12) includes a filtering module (121), a denoising module (122), and a normalization module (123). The filtering module (121) establishes a data connection with the denoising module (122) and the normalization module (123). The algorithm analysis module (13) includes a data synthesis module (131), an algorithm calculation module (132), a curve generation module (133), and a model optimization module (134). The data synthesis module (131) establishes a data connection with the algorithm calculation module (132), the curve generation module (133), and the model optimization module (134).

2. The promotional, customer acquisition, and retention application system for supermarket manufacturers according to claim 1, characterized in that: The main system application module (1) is connected to the agent system module (2) and the gas station system module (4). The agent system module (2) is connected to the distributor system module (3). The main system application module (1) is connected to the customer system module (5). The customer system module (5) establishes a data connection with the agent system module (2), the distributor system module (3) and the gas station system module (4).

3. The promotional, customer acquisition, and retention application system for supermarket manufacturers according to claim 2, characterized in that: The agent system module (2) includes a login verification module (21). The login verification module (21) is connected to a product distribution module (22), a commission processing module (23), a visualization detail module (24), and a data aggregation module (25). The product distribution module (22) is connected to the commission processing module (23), and the visualization detail module (24) is connected to the data aggregation module (25).

4. The promotional, customer acquisition, and retention application system for supermarket manufacturers according to claim 2, characterized in that: The distributor system module (3) includes a distributor login module (31). The distributor login module (31) is connected to a product sales module (32), a distributor QR code verification module (33), a distributor commission receiving module (34), and a revenue details module (35). The product sales module (32) is connected to the distributor QR code verification module (33), and the distributor commission receiving module (34) is connected to the revenue details module (35).

5. A promotional, customer acquisition, and retention application system for supermarket manufacturers according to claim 2, characterized in that: The gas station system module (4) includes a gas station login module (41). The gas station login module (41) includes a fuel nozzle selection module (42), a gas station verification module (43), a platform subsidy module (44), and a consumption details module (45). The fuel nozzle selection module (42) establishes a data connection with the gas station verification module (43), and the platform subsidy module (44) establishes a data connection with the consumption details module (45).

6. A promotional, customer acquisition, and retention application system for supermarket manufacturers according to claim 2, characterized in that: The customer-side system module (5) includes a registration and login module (51). The registration and login module (51) is connected to a member recharge module (52), a coupon distribution module (53), a shopping recommendation module (54), a prize quiz module (55), and a redemption code generation module (56). The member recharge module (52) establishes a data connection with the coupon distribution module (53) and the redemption code generation module (56).

7. A method for supermarket manufacturers to promote sales, attract customers, and retain them, comprising: Step 1, user login and identity verification; Step 2, market analysis and spending quota setting; Step 3, member top-up and discount distribution; Step 4, product purchase and commission verification; Step 5, fuel consumption and subsidy distribution; Step 6, data sharing and upgrade development; characterized in that: In step one above, login verification for different user terminals is completed through the login verification module (21), the distribution login module (31), the refueling login module (41), and the registration login module (51), and the permissions of different user terminals can be modified through the main system application module (1); In step two above, the market forecasting module (14) summarizes the current market sales of goods, and the price design module (15) designs the price of goods so that all participants can benefit. In step three above, the membership upgrade of ordinary users is completed through the membership recharge module (52), and coupons are issued according to the set discount level. In step four above, the coupon is used through the distribution QR code verification module (33), and the agent system module (2) and the distributor system module (3) receive commission payments. In step five above, the fuel coupon is used through the fuel verification module (43), so that the gas station system module (4) receives the subsidy. In step six above, the current sales situation is shared through the data sharing module (18), unreasonable amounts are modified in real time, and the system can be further developed and upgraded through the development and upgrade module (17).

8. A method for promotional marketing and customer retention for supermarket manufacturers according to claim 7, characterized in that: In step two, the current market data is collected by the multimodal data collection module (11), the collected data is processed by the data preprocessing module (12), and the data is filtered by the filtering module (121) to effectively suppress and prevent interference in the data signal, ensuring the authenticity and validity of the data. Digital filtering can reduce the proportion of interference in useful data and improve the authenticity of the data. The data is denoised by the denoising module (122) to effectively improve the performance and robustness of the data model and improve data feature extraction. The normalization module (123) eliminates the dimensional differences between different features, making each feature value comparable, ensuring that the model training will not be biased due to different feature value ranges, and uniformly focusing on all features to avoid some features dominating the model training due to excessively large values, thereby improving the prediction accuracy and stability of the model. After the data preprocessing is completed, the data is processed by the algorithm analysis module (13), the data is summarized by the data synthesis module (131), and the data is calculated and analyzed by the algorithm calculation module (132). The algorithm adopts multimodal fusion. By integrating deep neural networks, data from different sensors or in different forms can be effectively integrated. The deep neural network automatically learns the high-level abstract features of the data, thereby realizing the fusion of multimodal data. This can effectively improve the accuracy and reliability of information, enhance the system's understanding and reasoning ability, significantly improve the system's performance and security, and optimize operation and marketing strategies through advanced data analysis and prediction tools. This can effectively improve the market application prospects of the system and enhance the system's functionality. Different data can be integrated and reasonably predicted to provide automated services for the subsequent operation of the system. After the calculation is completed, the results are optimized by the curve generation module (133) and the model optimization module (134). The future results are predicted by the market prediction module (14). The commodity amount is set by the price design module (15). The data amount of different users is set by the handling fee processing module (16). The recharge amount and coupon amount of members are set. The commission amount of agents and distributors is set. The subsidy amount and the single refueling amount of gas stations are set, so that different participants can all benefit.

9. A method for promotional marketing and customer retention for supermarket manufacturers according to claim 7, characterized in that: In step three, the membership upgrade of ordinary users is completed through the membership recharge module (52), and coupons are issued according to the set discount level. The membership amount is recharged according to the recharge set. After the recharge is completed, the level of ordinary users is upgraded, and coupons are issued according to the recharge amount. The coupon issuance module (53) selects the coupons. It can choose the form of gas coupon plus commodity coupon to generate the required commodity code. It can also choose to give up the gas coupon and only select commodity coupon. After completion, another commodity code will be generated. Store recommendations are made for different coupons. The shopping recommendation module (54) recommends different merchants and stores and discount levels. It also comprehensively analyzes the distance, the discount amount and the items to be purchased, and lists the recommended stores for members according to the comprehensive ranking. Members can view the information and choose the recommended stores. View store information and select a suitable store to go to for consumption, so that members can quickly process coupons. After the recharge is completed, you can play a question and answer game through the prize question and answer module (55) to increase the fun of the activity. For members who have successfully recharged, they can participate in the prize question and answer page that the system redirects to. Members can choose the category of the question according to their own area of ​​expertise. After completing the question and answer, the system will give the member a red envelope reward based on the member's score. The reward amount is drawn from the subsequent member recharge to increase the fun of the activity. Members can learn some life tips from the activity and get red envelope rewards to increase the member's recharge enthusiasm. When a member successfully recharges 100 times, the system prompts the member to receive the corresponding activity gift pack. The redemption code is generated through the redemption code generation module (56) and the gift pack is received offline. The number of recharges can be set through the system.

10. A method for promotional marketing and customer retention for supermarket manufacturers according to claim 7, characterized in that: In step six, the current sales situation is shared through the data sharing module (18), the sales situation of the current market is compared with that of the optimized system, the amount of the product with negative sales is reset, unreasonable amount is modified in real time, and the interface of the mini program is reserved through the development and upgrade module (17) to facilitate the later upgrade and development, the function can be simulated and monitored in real time, and the problematic parts can be upgraded and improved in time.

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