Enterprise operation management system based on big data analysis

Abstract

The invention discloses an enterprise operation management system based on big data analysis, which belongs to the technical field of operation management systems and comprises a plurality of merchant systems, a plurality of user systems and an enterprise operation management system. The enterprise operation management system is in communication connection with the user system and the merchant system; each merchant system corresponds to one merchant, and each user system corresponds to one user; the merchant system runs on the enterprise operation management system and is used for providing online commodity ordering service for users and performing data statistics and viewing by merchants; and the user system is used for filling in user information and enabling a user to access the merchant system on the enterprise operation management system to place an order of a commodity. Through the mode, the propaganda and sales profit distribution for the commercial tenants is regulated and controlled based on the contribution condition of the commercial tenants to the platform.

Description

Technical Field

[0001] The present invention relates to the technical field of business management systems, and in particular to an enterprise business management system based on big data analysis. Background Art

[0002] Currently, enterprises and cooperating merchants can realize the operation and management of multiple merchants through the enterprise operation and management system; Among many existing technologies, Chinese patent application CN107330755A discloses a dealer management system, which includes a user registration module, a user review module, a product management module, a product query module, an order management module, an order payment module, a delivery management module, a receipt confirmation module, a settlement module, a transfer module, and a customer complaint module.

[0003] However, this patent application cannot regulate the publicity and sales profit sharing for merchants based on the merchants’ contribution to the platform.

[0004] Based on this, the present invention designs an enterprise operation and management system based on big data analysis to solve the above problems. Summary of the invention

[0005] In view of the above-mentioned shortcomings of the prior art, the present invention provides an enterprise operation and management system based on big data analysis.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: An enterprise operation and management system based on big data analysis, including multiple merchant systems, multiple user systems and an enterprise operation and management system; The enterprise management system is connected with the user system and the merchant system; Each merchant system corresponds to one merchant, and each user system corresponds to one user; The merchant system runs on the enterprise management system, which is used to provide users with online product ordering services and for merchants to view data statistics; The user system is used to fill in user information and for users to access the merchant system on the enterprise management system to place orders for goods; The enterprise operation management system includes an enterprise operation platform, a merchant contribution big data analysis module, a sales profit sharing control module, a merchant publicity control module, a user order management module and a monitoring module; The business operation platform is used to obtain order data from the merchant system and send the order data to the user order management module; The user system sends the user information to the enterprise operation platform, and the enterprise operation platform sends it to the user order management module; The monitoring module is used to monitor the store data of the merchant system; The monitoring module sends the store data to the business operation platform, and the business operation platform sends it to the merchant contribution big data analysis module; The merchant contribution big data analysis module is used to calculate the merchant contribution based on store data; The sales profit sharing control module is used to control the sales profit sharing of merchants based on the merchant contribution; The merchant publicity control module is used to control the merchant publicity in the system based on store data and merchant contribution; The user order management module is used to manage user information and order data.

[0007] Furthermore, the merchant contribution includes the merchant daily contribution y and the merchant monthly contribution Y.

[0008] Furthermore, the merchant system includes a merchant management terminal, a merchant data display module and an online store; The merchant management terminal is connected to the enterprise management platform, the merchant data display module is connected to the merchant management terminal, and the online store runs on the store interface of the enterprise management platform; The online store is used by merchants to publish goods for users to purchase, and to generate order data after the user places an order and pays; The business operation platform obtains the order data of online stores; The monitoring module collects store data of online stores; The merchant data display module is used to display store data and order data; The merchant management terminal is used for commodity management of online stores; The order data includes daily order volume, monthly order volume, and annual order volume.

[0009] Furthermore, the monitoring module includes a financial monitoring module, a rating monitoring module, an inventory monitoring module and a store visit monitoring module; The financial monitoring module is used to collect and monitor the financial data of online stores, and the financial data includes daily sales z, monthly sales k, and annual sales; The rating monitoring module is used to monitor the store rating data of the online store, and the store rating data includes the store rating L; The inventory monitoring module is used to monitor the commodity inventory data of the online store, and the commodity inventory data includes the monthly inventory turnover rate H and real-time inventory; The store visit monitoring module is used to monitor store visit data of online stores, and the store visit data includes daily natural visit volume m.

[0010] Furthermore, the user system includes a login verification information filling module and a user terminal; The login verification information filling module is connected to the user terminal in communication, and the user terminal is connected to the enterprise management platform in communication; The login verification information filling module is used for user login verification and user information filling and sends the user information to the user terminal, and the user terminal sends the user information to the enterprise management platform; After the login verification is passed, the user accesses the store interface of the enterprise management platform through the login verification information filling module and places an order for products in the online store.

[0011] Furthermore, the store data includes financial data, product inventory data, store visit data, and store rating data; The enterprise management platform extracts the daily order volume, monthly order volume, and annual order volume of the order data, the daily sales z, monthly sales k, and annual sales volume of the financial data of the store data, and the real-time inventory volume of the commodity inventory data. The enterprise management platform sends the above data to the merchant management terminal, the merchant management terminal sends the data to the merchant data display module, and the merchant data display module displays the above data.

[0012] Furthermore, the merchant contribution big data analysis module identifies the daily sales z in the financial data, and calculates the daily total sales Z of the platform by summing up all z, and calculates the daily sales contribution rate x by z / Z, the merchant contribution big data analysis module identifies the daily natural visits m in the store visit data, and the merchant contribution big data analysis module identifies the store rating L in the store rating data; The merchant contribution big data analysis module calculates the merchant's daily contribution y based on x, m, and L using the following formula: y=x*(m / m1) / (5-L); Where m1 is the preset value 1, and the maximum value of L is 5; The merchant contribution big data analysis module sends y to the enterprise operation platform, and the enterprise operation platform sends y to the merchant publicity and control module.

[0013] Furthermore, the merchant contribution big data analysis module identifies the inventory turnover rate H of the most recent month in the commodity inventory data, the monthly sales k in the financial data, and calculates the monthly total sales K of the platform by summing up all k, and calculates the monthly sales contribution rate X by k / K; The merchant contribution big data analysis module identifies the store rating L in the store rating data and the monthly natural visit volume M in the store visit data; The merchant contribution big data analysis module calculates the merchant's monthly contribution Y based on H, X, L, and M. The calculation formula of Y is: Y=0.6X*0.2H*0.1L*0.1M / m2; Where m2 is the preset value 2; The merchant contribution big data analysis module sends y and Y to the merchant publicity control module and the sales profit sharing control module respectively.

[0014] Furthermore, the merchant publicity control module includes a store ranking adjustment module and a store traffic adjustment module; The store ranking adjustment module is used to adjust and sort the online stores on the store interface of the enterprise management platform from large to small based on y; The store traffic adjustment module is used to identify the top ten online stores in the store interface ranking and reduce the traffic fees of these merchants by 10%; The store traffic adjustment module is also used to identify the ten online stores ranked last in the store interface, and at the same time identify whether the store score L of these online stores is ≥4.8. If so, the traffic cost of the merchant is reduced by 10%; if not, no action is taken.

[0015] Furthermore, the sales profit sharing control module is used for the merchant to sum up Y of all merchants to obtain Y z And through Y / Y z Sales interest rate Q; The sales profit sharing control module calculates the merchant's monthly profit sharing amount W based on Q and the platform's monthly profit sharing amount B; W=Q*B.

[0016] Compared with the prior art, the present invention has the following beneficial effects: 1. Compared with the current platform which only uses the merchant's sales as a reference for sales profit sharing, the present application takes into account the merchant's monthly sales contribution rate X, inventory turnover rate H, store rating L and monthly natural visit volume M based on the merchant's monthly contribution Y; the monthly sales contribution rate X reflects the contribution to the platform's sales, the inventory turnover rate H reflects the contribution to the platform's anti-risk performance, the store rating L reflects the contribution to the platform's credit, and the monthly natural visit volume M reflects the contribution to the platform's activity, so that the sales profit sharing is automatically adjusted and is related to the merchant's contribution, thereby improving fairness.

[0017] 2. Realize the digital display of merchants' sales, inventory, and order data; 3. When the present invention is used, big data analysis of store data is achieved through the merchant contribution big data analysis module. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention, and for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0019] Figure 1 A block diagram of an enterprise management system based on big data analysis of the present invention Figure 1 ; Figure 2 A block diagram of an enterprise management system based on big data analysis of the present invention Figure 2 ; Figure 3 It is a block diagram of the merchant publicity control module of the present invention; Figure 4 It is a block diagram of the monitoring module of the present invention.

[0020] The numbers in the figure represent: 1. Login verification information filling module 2. User terminal 3. Enterprise management platform 4. Merchant contribution big data analysis module 5. Sales profit sharing regulation module 6. Merchant publicity regulation module 61. Store ranking adjustment module 62. Store traffic adjustment module 7. User order management module 8. Monitoring module 81. Financial monitoring module 82. Rating monitoring module 83. Inventory monitoring module 84. Store visit monitoring module 9. Merchant management terminal 10. Merchant data display module 11. Online store. DETAILED DESCRIPTION

[0021] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0022] Embodiment 1: In some embodiments, please refer to the drawings of the specification Figure 1-Figure 4 , an enterprise operation and management system based on big data analysis, including multiple merchant systems, multiple user systems and an enterprise operation and management system; The enterprise management system is connected with the user system and the merchant system; Each merchant system corresponds to one merchant, and each user system corresponds to one user; The merchant system runs on the enterprise management system, which is used to provide users with online product ordering services and for merchants to view data statistics; The merchant system includes a merchant management terminal 9, a merchant data display module 10 and an online store 11; The merchant management terminal 9 is connected to the enterprise management platform 3, the merchant data display module 10 is connected to the merchant management terminal 9, and the online store 11 runs on the store interface of the enterprise management platform 3; The online store 11 is used for merchants to publish goods for users to purchase, and to generate order data after the user places an order and pays; The business operation platform 3 obtains the order data of the online store 11; The monitoring module 8 collects store data of the online store 11; The merchant data display module 10 is used to display store data and order data; The merchant management terminal 9 is used for merchandise management of the online store 11 .

[0023] Order data includes daily order volume, monthly order volume, and annual order volume.

[0024] The user system is used to fill in user information and for users to access the merchant system on the enterprise management system to place orders for goods; The user system includes a login verification information filling module 1 and a user terminal 2; The login verification information filling module 1 is connected to the user terminal 2 in communication, and the user terminal 2 is connected to the enterprise management platform 3 in communication; The login verification information filling module 1 is used for user login verification and user information filling and sends the user information to the user terminal 2, and the user terminal 2 sends the user information to the enterprise management platform 3; After the login verification is passed, the user accesses the store interface of the enterprise management platform 3 through the login verification information filling module 1 and places an order for the goods in the online store 11; The enterprise operation management system includes an enterprise operation platform 3, a merchant contribution big data analysis module 4, a sales profit sharing control module 5, a merchant publicity control module 6, a user order management module 7 and a monitoring module 8; The enterprise operation platform 3 is connected to the merchant contribution big data analysis module 4, the sales profit sharing control module 5, the merchant publicity control module 6, the user order management module 7, the monitoring module 8, the user system, and the merchant system, and the monitoring module 8 is connected to the merchant system; The business operation platform 3 is used to obtain the order data of the merchant system and send the order data to the user order management module 7; The user system sends the user information to the enterprise operation platform 3, and the enterprise operation platform 3 sends it to the user order management module 7; Monitoring module 8 is used to monitor the store data of the merchant system; The monitoring module 8 sends the store data to the enterprise management platform 3, and the enterprise management platform 3 sends it to the merchant contribution big data analysis module 4; The monitoring module 8 includes a financial monitoring module 81, a rating monitoring module 82, an inventory monitoring module 83 and a store visit monitoring module 84; The financial monitoring module 81 is used for collecting and monitoring the financial data of the online store 11, and the financial data includes daily sales z, monthly sales k, and annual sales; The rating monitoring module 82 is used to monitor the store rating data of the online store 11, and the store rating data includes the store rating L; The inventory monitoring module 83 is used to monitor the commodity inventory data of the online store 11, and the commodity inventory data includes the monthly inventory turnover rate H and the real-time inventory; The store visit monitoring module 84 is used to monitor the store visit data of the online store 11 , and the store visit data includes the daily natural visit volume m.

[0025] The merchant contribution big data analysis module 4 is used to calculate the merchant contribution based on the store data; Merchant contribution includes merchant daily contribution y and merchant monthly contribution Y.

[0026] Store data includes financial data, product inventory data, store visit data, and store rating data; The merchant contribution big data analysis module 4 identifies the daily sales volume z in the financial data, and calculates the daily total sales volume Z of the platform by summing up all z, and calculates the daily sales contribution rate x by z / Z. The merchant contribution big data analysis module 4 identifies the daily natural visits m in the store visit data, and the merchant contribution big data analysis module 4 identifies the store rating L in the store rating data; The merchant contribution big data analysis module 4 calculates the merchant daily contribution y based on x, m, and L using the following formula: y=x*(m / m1) / (5-L); Where m1 is the preset value 1, the value of m1 is 300, and the maximum value of L is 5; The merchant contribution big data analysis module 4 sends y to the enterprise operation platform 3, and the enterprise operation platform 3 sends y to the merchant publicity and control module 6; When the present invention is used, the big data analysis module 4 for merchant contribution degree is used to implement big data analysis of store data.

[0027] The merchant contribution big data analysis module 4 identifies the inventory turnover rate H of the most recent month in the commodity inventory data, the monthly sales k in the financial data, and calculates the monthly total sales K of the platform by summing up all k, and calculates the monthly sales contribution rate X by k / K; The merchant contribution big data analysis module 4 identifies the store rating L in the store rating data and the monthly natural visit volume M in the store visit data; The merchant contribution big data analysis module 4 calculates the merchant monthly contribution Y based on H, X, L, and M. The calculation formula of Y is: Y=0.6X*0.2H*0.1L*0.1M / m2; Among them, m2 is the preset value 2, and the value of m2 is 10000; The merchant contribution big data analysis module 4 sends y and Y to the merchant publicity control module 6 and the sales profit sharing control module 5 respectively.

[0028] The sales profit sharing control module 5 is used to control the sales profit sharing of merchants based on the merchant contribution; Sales profit sharing control module 5 is used for merchants to sum up Y of all merchants to obtain Y z And through Y / Y z Sales interest rate Q; The sales profit sharing control module 5 calculates the merchant's monthly profit sharing amount W based on Q and the platform's monthly profit sharing amount B; W=Q*B.

[0029] When the present invention is used, based on Y / Y z Calculate the sales profit rate Q as the merchant's share of the platform's monthly profit share amount B; Compared with the current platform which only uses the merchant's sales as a reference for sales profit sharing, this application takes into account the merchant's monthly sales contribution rate X, inventory turnover rate H, store rating L and monthly natural visit volume M based on the merchant's monthly contribution rate Y; the monthly sales contribution rate X reflects the contribution to the platform's sales, the inventory turnover rate H reflects the contribution to the platform's anti-risk operation, the store rating L reflects the contribution to the platform's credit, and the monthly natural visit volume M reflects the contribution to the platform's activity, so that the sales profit sharing is automatically adjusted and is related to the merchant's contribution, thereby improving fairness.

[0030] The merchant publicity control module 6 is used to control the merchant publicity in the system based on the store data and the merchant contribution; The merchant publicity control module 6 includes a store ranking adjustment module 61 and a store traffic adjustment module 62; The store ranking adjustment module 61 is used to adjust and sort the online stores 11 on the store interface of the enterprise management platform 3 from large to small based on y; The store traffic adjustment module 62 is used to identify the top ten online stores 11 in the store interface ranking, and reduce the traffic costs of these merchants by 10%.

[0031] The store traffic adjustment module 62 is also used to identify the ten online stores 11 ranked last in the store interface, and to identify whether the store rating L of these online stores 11 is ≥ 4.8. If so, the traffic cost of the merchant is reduced by 10%; if not, no processing is performed; When the present invention is used, the merchant's daily contribution y is used as the basis for ranking the merchant's online store 11 on the store interface of the enterprise management platform 3, so that the online store 11 with higher y is ranked first, and high-quality merchants with high credit and activity are screened out through y, saving the user's search and screening time, improving the efficiency of the user in obtaining effective information, and at the same time promoting the online store 11 with higher y; Through the store traffic adjustment module 62, the traffic fees of the merchants ranked at the top in the store interface of the enterprise management platform 3 are reduced; The store score L of merchants with lower rankings is also identified as the basis for evaluating whether to lower their traffic investment costs, thereby achieving incentives for merchants with higher rankings while encouraging merchants with lower rankings but high store scores.

[0032] The user order management module 7 is used for the management of user information and order data.

[0033] The enterprise management platform 3 extracts the daily order volume, monthly order volume, and annual order volume of the order data, the enterprise management platform 3 extracts the daily sales z, monthly sales k, and annual sales of the financial data of the store data, and the enterprise management platform 3 extracts the real-time inventory volume of the commodity inventory data. The enterprise management platform 3 sends the above data to the merchant management terminal 9, and the merchant management terminal 9 sends the data to the merchant data display module 10. The merchant data display module 10 displays the above data, thereby realizing the digital display of the merchant's sales, inventory, and order data.

[0034] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements will not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. An enterprise management system based on big data analysis, characterized by: It includes multiple merchant systems, multiple user systems and enterprise management systems; the enterprise management system is connected to the user system and merchant system; each merchant system corresponds to one merchant, and each user system corresponds to one user; The merchant system runs on the enterprise management system, which is used to provide users with online product ordering services and for merchants to view data statistics; The user system is used to fill in user information and for users to access the merchant system on the enterprise management system to place orders for goods; The enterprise operation management system includes an enterprise operation platform (3), a merchant contribution big data analysis module (4), a sales profit sharing control module (5), a merchant publicity control module (6), a user order management module (7) and a monitoring module (8); The business operation platform (3) is used to obtain order data from the merchant system and send the order data to the user order management module (7); The user system sends the user information to the enterprise operation platform (3), and the enterprise operation platform (3) sends it to the user order management module (7); The monitoring module (8) is used to monitor the store data of the merchant system; the monitoring module (8) sends the store data to the enterprise operation platform (3), and the enterprise operation platform (3) sends the store data to the merchant contribution big data analysis module (4); The merchant contribution big data analysis module (4) is used to calculate the merchant contribution based on the store data; The sales profit sharing control module (5) is used to control the sales profit sharing of merchants based on the merchant contribution; The merchant publicity control module (6) is used to control the merchant publicity in the system based on the store data and the merchant contribution; The user order management module (7) is used to manage user information and order data.

2. The enterprise management system based on big data analysis according to claim 1 is characterized in that: The merchant contribution includes the merchant daily contribution y and the merchant monthly contribution Y.

3. The enterprise management system based on big data analysis according to claim 2 is characterized in that: The merchant system comprises a merchant management terminal (9), a merchant data display module (10) and an online store (11); The merchant management terminal (9) is connected to the enterprise management platform (3) in communication, the merchant data display module (10) is connected to the merchant management terminal (9) in communication, and the online store (11) runs on the store interface of the enterprise management platform (3); The online store (11) is used by merchants to publish goods for users to purchase, and to generate order data after the user places an order and pays; The business operation platform (3) obtains the order data of the online store (11); The monitoring module (8) collects store data of the online store (11); The merchant data display module (10) is used to display store data and order data; The merchant management terminal (9) is used for merchandise management of the online store (11); The order data includes daily order volume, monthly order volume and annual order volume.

4. The enterprise management system based on big data analysis according to claim 3 is characterized in that: The monitoring module (8) comprises a financial monitoring module (81), a rating monitoring module (82), an inventory monitoring module (83) and a store visit monitoring module (84); The financial monitoring module (81) is used for collecting and monitoring the financial data of the online store (11), wherein the financial data includes daily sales z, monthly sales k, and annual sales; The rating monitoring module (82) is used to monitor the store rating data of the online store (11), wherein the store rating data includes the store rating L; The inventory monitoring module (83) is used to monitor the commodity inventory data of the online store (11), wherein the commodity inventory data includes a monthly inventory turnover rate H and real-time inventory; The store visit monitoring module (84) is used to monitor store visit data of an online store (11), wherein the store visit data includes a daily natural visit volume m.

5. The enterprise management system based on big data analysis according to claim 4 is characterized in that: The user system comprises a login verification information filling module (1) and a user terminal (2); The login verification information filling module (1) is connected in communication with the user terminal (2), and the user terminal (2) is connected in communication with the enterprise management platform (3); The login verification information filling module (1) is used for user login verification and user information filling and sends the user information to the user terminal (2), and the user terminal (2) sends the user information to the enterprise management platform (3); After the login verification is passed, the user accesses the store interface of the enterprise management platform (3) through the login verification information filling module (1) and places an order for the products in the online store (11).

6. The enterprise management system based on big data analysis according to claim 5 is characterized in that: The store data includes financial data, product inventory data, store visit data and store rating data; The enterprise operation platform (3) extracts the daily order volume, monthly order volume and annual order volume of the order data, extracts the daily sales volume z, monthly sales volume k and annual sales volume of the financial data of the store data, and extracts the real-time inventory volume of the commodity inventory data, and sends the extracted data to the merchant management terminal (9). The merchant management terminal (9) sends the data to the merchant data display module (10), and the merchant data display module (10) displays the data.

7. The enterprise management system based on big data analysis according to claim 6 is characterized in that: The merchant contribution big data analysis module (4) identifies the daily sales volume z in the financial data, and calculates the daily total sales volume Z of the platform by summing up all z, and calculates the daily sales contribution rate x by z / Z. The merchant contribution big data analysis module (4) identifies the daily natural visit volume m in the store visit data. The merchant contribution big data analysis module (4) identifies the store rating L in the store rating data. The merchant contribution big data analysis module (4) calculates the merchant daily contribution y based on x, m, and L using the following formula: y=x*(m / m1) / (5-L); Where m1 is the preset value 1, and the maximum value of L is 5; The merchant contribution big data analysis module (4) sends y to the enterprise operation platform (3), and the enterprise operation platform (3) sends y to the merchant publicity and control module (6).

8. The enterprise management system based on big data analysis according to claim 7 is characterized in that: The merchant contribution big data analysis module (4) identifies the inventory turnover rate H of the most recent month in the commodity inventory data, the monthly sales k in the financial data, and calculates the monthly total sales K of the platform by summing up all k, and calculates the monthly sales contribution rate X by k / K; The merchant contribution big data analysis module (4) identifies the store rating L in the store rating data and the monthly natural visit volume M in the store visit data; The merchant contribution big data analysis module (4) calculates the merchant's monthly contribution Y based on H, X, L, and M. The calculation formula of Y is: Y=0.6X*0.2H*0.1L*0.1M / m2; Where m2 is the preset value 2; The merchant contribution big data analysis module (4) sends y and Y to the merchant publicity control module (6) and the sales profit sharing control module (5) respectively.

9. The enterprise management system based on big data analysis according to claim 8, characterized in that: The merchant publicity control module (6) comprises a store ranking adjustment module (61) and a store traffic adjustment module (62); The store ranking adjustment module (61) is used to adjust and sort the online stores (11) on the store interface of the enterprise management platform (3) from large to small based on y; The store traffic adjustment module (62) is used to identify the top ten online stores (11) in the store interface ranking, and reduce the traffic costs of these merchants by 10%; The store traffic adjustment module (62) is also used to identify the ten online stores (11) ranked after the store interface, and to identify whether the store rating L of these online stores (11) is ≥ 4.

8. If so, the traffic cost of the merchant is reduced by 10%; if not, no action is taken.

10. The enterprise operation and management system based on big data analysis according to claim 9 is characterized in that: The sales profit sharing control module (5) is used for the merchant to sum up Y of all merchants to obtain Y z And through Y / Y z Sales interest rate Q; The sales profit sharing control module (5) calculates the merchant's monthly profit sharing amount W based on Q and the platform's monthly profit sharing amount B; W=Q*B.

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