CN114581121A - Shopping platform based on neural network and optimal hyper-task network and control method thereof - Google Patents
Shopping platform based on neural network and optimal hyper-task network and control method thereof Download PDFInfo
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Abstract
The invention discloses a shopping platform control method, which comprises the following steps: providing a terminal control module for controlling the user terminal in real time; the terminal management and control module comprises a server, and an area sales analysis unit and an area evaluation analysis unit which are in communication connection with the server; the server generates a regional sales analysis signal and a regional evaluation analysis signal, the regional sales analysis unit analyzes the product sales of each region corresponding to the shopping platform, and the regional evaluation analysis unit analyzes the evaluation of the product required by each analysis region; providing a sub-terminal management and control module for managing and controlling the merchant sub-terminal; the child terminal management and control module comprises a processor and a product type setting unit in communication connection with the processor; the processor generates a product type setting signal and sends the product type setting signal to the product type setting unit, and the product type setting unit sets the type of the product sold by the merchant sub-terminal.
Description
Technical Field
The invention relates to the technical field of e-commerce shopping platforms, in particular to a shopping platform based on a neural network and an optimal hyper-task network and a control method thereof.
Background
The artificial neural network is an algorithmic mathematical model simulating animal neural network behavior characteristics and performing distributed parallel information processing. The network achieves the purpose of processing information by adjusting the mutual connection relationship among a large number of internal nodes depending on the complexity of the system, and has self-learning and self-adapting capabilities. The E-commerce shopping platform is a commercial activity taking commodity exchange as a center by taking an information network technology as a means; the method can also be understood as the transaction activities and related service activities performed in an electronic transaction mode on the Internet, an intranet and a value-added network, and is electronization, networking and informatization of each link of the traditional business activities.
In the prior art, a shopping platform cannot be managed and controlled in real time, the product development trend of a user terminal cannot be clearly controlled, the purchase quality of a user cannot be guaranteed, and meanwhile, the accuracy of products sold by merchants cannot be guaranteed.
Disclosure of Invention
The invention aims to provide a shopping platform based on a neural network and an optimal hyper-task network and a control method thereof.
Aiming at the purposes, the invention adopts the following technical scheme:
a shopping platform management and control method comprises the following steps:
providing a terminal control module for controlling the user terminal in real time; the terminal management and control module comprises a server, and an area sales analysis unit and an area evaluation analysis unit which are in communication connection with the server;
the server generates a regional sales analysis signal and sends the regional sales analysis signal to a regional sales analysis unit, the regional sales analysis unit analyzes product sales of each region corresponding to the shopping platform, generates a high demand signal and demand product information through analysis, and sends the high demand signal and the demand product information to the server;
the server generates a region evaluation analysis signal and sends the region evaluation analysis signal to a region evaluation analysis unit, and the region evaluation analysis unit analyzes the evaluation of the product required by each analysis region;
providing a sub-terminal management and control module for managing and controlling the merchant sub-terminal; the child terminal management and control module comprises a processor and a product type setting unit in communication connection with the processor;
the processor generates a product type setting signal and sends the product type setting signal to the product type setting unit, and the product type setting unit sets the type of the product sold by the merchant sub-terminal.
Further, the process of the area sales analysis by the area sales analysis unit is as follows:
marking each area corresponding to the shopping platform as an analysis area, setting a mark i to be a natural number larger than 1, acquiring the total purchase amount of a user terminal product corresponding to each analysis area in the shopping platform and the increase speed of the corresponding product purchase amount, and marking the total purchase amount of the user terminal product corresponding to each analysis area in the shopping platform and the increase speed of the corresponding product purchase amount as ZLi and SDi respectively; acquiring the continuous purchasing frequency of user terminal products corresponding to each analysis area in the shopping platform, and marking the continuous purchasing frequency of the user terminal products corresponding to each analysis area in the shopping platform as PLi;
obtaining a sales analysis coefficient Xi of a corresponding area of each analysis area through a formula, wherein a1, a2 and a3 are all preset proportionality coefficients, and a1 is more than a2 is more than a3 is more than 0;
and comparing the area sales analysis coefficient Xi corresponding to each analysis area with the area sales analysis coefficient threshold.
Further, the comparison process of the area sales analysis coefficient and the area sales analysis coefficient threshold value is as follows:
if the analysis coefficient Xi of the area corresponding to the analysis area exceeds the threshold value of the analysis coefficient of the area sales, judging that the product demand of the corresponding analysis area is high, marking the corresponding high-sales product as a demand product of the corresponding analysis area, generating a high demand signal and sending the high demand signal and the demand product of the corresponding analysis area to a server; if the analysis coefficient Xi of the area corresponding to the analysis area does not exceed the threshold value of the analysis coefficient of the area sales volume, judging that the product demand of the corresponding analysis area is low, marking the corresponding high-sales product as a non-demand product of the corresponding analysis area, generating a low-demand signal and sending the low-demand signal and the non-demand product of the corresponding analysis area to the server together.
Further, the area evaluation analysis process of the area evaluation analysis unit is as follows:
setting a mark o of the required product in each analysis area, wherein the mark o is a natural number larger than 1, acquiring the favorable rating of the required product corresponding to each analysis area and the return frequency of the corresponding required product, and marking the favorable rating of the required product corresponding to each analysis area and the return frequency of the corresponding required product as HPo and THo respectively; the good rating HPo of the corresponding demand product in the analysis area and the return frequency THo of the corresponding demand product are compared with a good rating threshold and a return frequency threshold, respectively.
Further, the comparison process of the good rating HPo of the corresponding demand product in the analysis area and the return frequency THo of the corresponding demand product with the corresponding threshold is as follows:
if the good evaluation rate HPo of the required product corresponding to the analysis area exceeds a good evaluation rate threshold value and the return frequency THo of the corresponding required product does not exceed a return frequency threshold value, judging that the corresponding brand of the required product corresponding to the analysis area is qualified, generating a product qualified signal and sending the product qualified signal and the number of the corresponding analysis area to the server; if the good rating HPo of the demand product corresponding to the analysis area does not exceed the good rating threshold or the return frequency THo of the corresponding demand product exceeds the return frequency threshold, determining that the demand product corresponding to the analysis area is unqualified, generating an unqualified product signal, sending the unqualified product signal and the serial number of the corresponding analysis area to the server, after receiving the unqualified product signal, performing brand change on the demand product corresponding to the analysis area, and marking the brand of the demand product corresponding to the unqualified product signal as a forbidden sale brand of the corresponding analysis area.
Further, the product type setting process of the product type setting unit is as follows:
the ratio of the product replenishment period and the vending period of each analysis area corresponding to the merchant sub-terminal in the shopping platform and the shortening speed of the corresponding product vending period are collected, and the ratio of the product replenishment period and the vending period of each analysis area corresponding to the merchant sub-terminal in the shopping platform and the shortening speed of the corresponding product vending period are respectively compared with the period ratio threshold and the shortening speed threshold:
if the ratio of the product replenishment period to the selling period of each analysis area corresponding to the merchant sub-end in the shopping platform exceeds a period ratio threshold value and the shortening speed of the corresponding product selling period exceeds a shortening speed threshold value, marking the corresponding product as a sold product of the merchant sub-end, simultaneously generating a selling type determining signal and sending the selling type determining signal and the corresponding sold product to processing; if the ratio of the product replenishment period to the vending period of each analysis area corresponding to the merchant sub-end in the shopping platform does not exceed the period ratio threshold, or the shortening speed of the vending period of the corresponding product does not exceed the shortening speed threshold, marking the corresponding product as a non-sold product of the merchant sub-end, generating a vending type exclusion signal and sending the vending type exclusion signal and the corresponding non-sold product to the processor.
Further, the processor receives the vending type determining signal and then takes the corresponding sold product as a main selling product in the shopping platform, and the processor receives the vending type eliminating signal and then takes the corresponding non-sold product as a stop selling product in the shopping platform.
A shopping platform for performing the above method, comprising:
the terminal control module is used for controlling the user terminal in real time; the terminal management and control module comprises a server, and an area sales analysis unit and an area evaluation analysis unit which are in communication connection with the server; the system comprises a server, an area sales analysis unit, a product sales analysis unit, a high demand signal and demand product information generation unit, wherein the server is used for generating an area sales analysis signal and sending the area sales analysis signal to the area sales analysis unit; the server is also used for generating a region evaluation analysis signal and sending the region evaluation analysis signal to a region evaluation analysis unit, and the region evaluation analysis unit is used for analyzing the evaluation of the product required by each analysis region;
the sub-terminal management and control module is used for managing and controlling the merchant sub-terminal; the child terminal management and control module comprises a processor and a product type setting unit in communication connection with the processor; the processor is used for generating a product type setting signal and sending the product type setting signal to the product type setting unit, and the product type setting unit is used for setting the type of the product sold by the merchant.
Compared with the prior art, the invention has the beneficial effects that:
1. the invention manages and controls the e-commerce shopping in each area in real time, improves the monitoring of the purchasing trend of the user terminal, enhances the shopping quality of the user terminal, and simultaneously increases the accuracy of the product type setting of the merchant sub-terminal; the terminal management and control module is used for managing and controlling the user terminal in real time, analyzing and judging whether a real-time product meets the requirements of the user terminal or not through the user terminal, and accurately analyzing the product heat trend of the shopping platform, so that the volume of the shopping platform is increased, the purchase quality of a user is improved, and the working efficiency of the shopping platform is improved; analyzing the product sales volume of each area corresponding to the shopping platform, and judging the product volume purchased by the user terminal in each area, thereby improving the accuracy of product promotion, improving the purchase efficiency of the user terminal, reducing the purchase time, and increasing the volume of the business sub-terminal;
2. the method analyzes the evaluation of the required products in each analysis area, judges whether the brand of the required product in each analysis area is qualified or not, and prevents the purchasing quality of the user terminal from being reduced due to the fact that the brand of the required product is not suitable, so that the working efficiency of a shopping platform is influenced; the merchant sub-end is controlled, so that the product sale transaction amount of the merchant sub-end is increased, the risk of lost sales of the merchant sub-end products is reduced, the use quality of the user terminal is enhanced, and the product transaction amount and the transaction completion probability in the shopping platform are increased; the method and the device have the advantages that the types of the products sold by the merchant sub-end are set, so that the accuracy of the types of the products of the merchant sub-end is improved, the stability of the sales volume of the merchant sub-end is enhanced, and meanwhile, the accuracy of the user terminal in completing the purchase can be ensured.
Drawings
FIG. 1 is an overall system block diagram of the present invention;
FIG. 2 is a system block diagram of a terminal management and control module according to the present invention;
fig. 3 is a system block diagram of a child side management and control module according to the present invention.
Detailed Description
For a better understanding of the objects, structure, features, and functions of the invention, reference should be made to the drawings and detailed description that follow. The described embodiments are only some, but not all embodiments of the invention. All other embodiments, which can be derived by a person skilled in the art from the described embodiments of the invention without any inventive step, are within the scope of protection of the invention.
Referring to fig. 1-3, a shopping platform based on a neural network and an optimal hyper-task network is provided in a preferred embodiment of the present invention, wherein a terminal management and control module and a sub-terminal management and control module are disposed in the shopping platform, a server is disposed in the terminal management and control module, the server is in communication connection with an area sales analysis unit and an area evaluation analysis unit, a processor is disposed in the sub-terminal management and control module, and the processor is in communication connection with a product type setting unit;
the shopping platform is used for managing and controlling e-commerce shopping in each area in real time, so that the purchasing trend supervision of the user terminal is improved, the shopping quality of the user terminal is enhanced, and meanwhile, the accuracy of product type setting of a merchant sub-terminal is improved; the terminal management and control module is used for managing and controlling the user terminal in real time, whether real-time products meet the requirements of the user terminal is judged through user terminal analysis, the product heat trend of the shopping platform is accurately analyzed, the volume of the shopping platform is increased, the purchase quality of a user is increased, the working efficiency of the shopping platform is improved, a server generates an area sales analysis signal and sends the area sales analysis signal to an area sales analysis unit, the area sales analysis unit is used for analyzing the product sales of each area corresponding to the shopping platform, the product volume purchased by each area user terminal is judged, the product popularization accuracy is improved, the purchase efficiency of the user terminal is improved, the purchase time is shortened, the volume of the merchant is increased, and the specific area sales analysis process is as follows:
marking each area corresponding to the shopping platform as an analysis area, setting a mark i to be a natural number larger than 1, acquiring the total purchase amount of a user terminal product corresponding to each analysis area in the shopping platform and the increase speed of the corresponding product purchase amount, and marking the total purchase amount of the user terminal product corresponding to each analysis area in the shopping platform and the increase speed of the corresponding product purchase amount as ZLi and SDi respectively; acquiring the continuous purchasing frequency of user terminal products corresponding to each analysis area in the shopping platform, and marking the continuous purchasing frequency of the user terminal products corresponding to each analysis area in the shopping platform as PLi;
obtaining a sales analysis coefficient Xi of a corresponding area of each analysis area through a formula, wherein a1, a2 and a3 are all preset proportionality coefficients, and a1 is more than a2 is more than a3 is more than 0;
comparing the area sales analysis coefficient Xi corresponding to each analysis area with an area sales analysis coefficient threshold value:
if the sales analysis coefficient Xi of the area corresponding to the analysis area exceeds the threshold value of the sales analysis coefficient of the area, judging that the product demand of the corresponding analysis area is high, marking the corresponding high-sales product as a demand product of the corresponding analysis area, generating a high demand signal and sending the high demand signal and the demand product of the corresponding analysis area to the server; if the sales analysis coefficient Xi of the area corresponding to the analysis area does not exceed the sales analysis coefficient threshold of the area, judging that the product demand of the corresponding analysis area is low, marking the corresponding high-sales product as a non-demand product of the corresponding analysis area, generating a low demand signal and sending the low demand signal and the non-demand product of the corresponding analysis area to the server;
after receiving the high demand signal, the low demand signal, the corresponding demand product and the non-demand product, the server sets the regional supply amount according to the demand product and the non-demand product corresponding to the analysis region; meanwhile, the server generates a regional evaluation analysis signal and sends the regional evaluation analysis signal to the regional evaluation analysis unit, the regional evaluation analysis unit is used for analyzing the evaluation of the required products in each analysis region, judging whether the brand of the required product in each analysis region is qualified or not, and preventing the reduction of the purchase quality of the required product due to the fact that the brand is not suitable to lead to the user terminal, so that the working efficiency of the shopping platform is influenced, and the specific regional evaluation analysis process is as follows:
setting a mark o of the required product in each analysis area, wherein the mark o is a natural number larger than 1, acquiring the favorable rating of the required product corresponding to each analysis area and the return frequency of the corresponding required product, and marking the favorable rating of the required product corresponding to each analysis area and the return frequency of the corresponding required product as HPo and THo respectively; comparing the good evaluation rate HPo of the corresponding demand product in the analysis area and the return frequency THo of the corresponding demand product with a good evaluation rate threshold value and a return frequency threshold value respectively:
if the good evaluation rate HPo of the required product corresponding to the analysis area exceeds a good evaluation rate threshold value and the return frequency THo of the corresponding required product does not exceed a return frequency threshold value, judging that the corresponding brand of the required product corresponding to the analysis area is qualified, generating a product qualified signal and sending the product qualified signal and the number of the corresponding analysis area to the server; if the good rating HPo of the demand product corresponding to the analysis area does not exceed the good rating threshold or the return frequency THo of the corresponding demand product exceeds the return frequency threshold, determining that the demand product corresponding to the analysis area is unqualified, generating an unqualified product signal, sending the unqualified product signal and the serial number of the corresponding analysis area to the server, after receiving the unqualified product signal, performing brand change on the demand product corresponding to the analysis area, and marking the brand of the demand product corresponding to the unqualified product signal as a forbidden sale brand of the corresponding analysis area;
the sub-end management and control module is used for managing and controlling the sub-end of the merchant, the product sale transaction amount of the sub-end of the merchant is improved, the risk of the product of the sub-end of the merchant being lost is reduced, the use quality of the user terminal is enhanced, the product transaction amount and the transaction completion probability in the shopping platform are improved, the processor generates a product type setting signal and sends the product type setting signal to the product type setting unit, the product type setting unit is used for setting the sale product type of the sub-end of the merchant, the accuracy of the product type of the sub-end of the merchant is improved, the sales amount stability of the sub-end of the merchant is enhanced, meanwhile, the accuracy of the user terminal in purchasing production can be ensured, the specific product type setting process is as follows:
the ratio of the product replenishment period and the vending period of each analysis area corresponding to the merchant sub-terminal in the shopping platform and the shortening speed of the corresponding product vending period are collected, and the ratio of the product replenishment period and the vending period of each analysis area corresponding to the merchant sub-terminal in the shopping platform and the shortening speed of the corresponding product vending period are respectively compared with the period ratio threshold and the shortening speed threshold:
if the ratio of the product replenishment period to the selling period of each analysis area corresponding to the merchant terminal in the shopping platform exceeds a period ratio threshold value and the shortening speed of the corresponding product selling period exceeds a shortening speed threshold value, marking the corresponding product as a free product of the merchant terminal, generating a selling type determining signal and sending the selling type determining signal and a corresponding free product to processing; if the ratio of the product replenishment period to the vending period of each analysis area corresponding to the merchant sub-end in the shopping platform does not exceed the period ratio threshold, or the shortening speed of the vending period of the corresponding product does not exceed the shortening speed threshold, marking the corresponding product as a non-sold product of the merchant sub-end, generating a vending type exclusion signal and sending the vending type exclusion signal and the corresponding non-sold product to the processor;
the processor receives the vending type determining signal and then takes the corresponding sold product as the main selling product in the shopping platform, and the processor receives the vending type eliminating signal and then takes the corresponding non-sold product as the stop selling product of the shopping platform.
When the system works, the shopping platform is used for managing and controlling e-commerce shopping in each area in real time, the terminal management and control module is used for managing and controlling a user terminal in real time, the server generates an area sales analysis signal and sends the area sales analysis signal to the area sales analysis unit, and the area sales analysis unit is used for analyzing product sales in each area corresponding to the shopping platform; generating a high demand signal and a demand product through analysis, sending the high demand signal and the demand product to a server, generating an area evaluation analysis signal by the server, sending the area evaluation analysis signal to an area evaluation analysis unit, and analyzing evaluation of the demand product in each analysis area through the area evaluation analysis unit; the merchant sub-terminal is controlled through the sub-terminal control module, the processor generates a product type setting signal and sends the product type setting signal to the product type setting unit, and the type of the product sold by the merchant sub-terminal is set through the product type setting unit.
The above detailed description is only for the purpose of illustrating the preferred embodiments of the present invention, and not for the purpose of limiting the scope of the present invention, therefore, all equivalent technical changes that can be made by applying the present invention are included in the scope of the present invention.
Claims (8)
1. A shopping platform management and control method is characterized by comprising the following steps:
providing a terminal control module for controlling the user terminal in real time; the terminal management and control module comprises a server, and an area sales analysis unit and an area evaluation analysis unit which are in communication connection with the server;
the server generates a regional sales analysis signal and sends the regional sales analysis signal to a regional sales analysis unit, the regional sales analysis unit analyzes product sales of each region corresponding to the shopping platform, generates a high demand signal and demand product information through analysis, and sends the high demand signal and the demand product information to the server;
the server generates a region evaluation analysis signal and sends the region evaluation analysis signal to a region evaluation analysis unit, and the region evaluation analysis unit analyzes the evaluation of the product required by each analysis region;
providing a sub-terminal management and control module for managing and controlling the merchant sub-terminal; the child terminal management and control module comprises a processor and a product type setting unit in communication connection with the processor;
the processor generates a product type setting signal and sends the product type setting signal to the product type setting unit, and the product type setting unit sets the type of the product sold by the merchant sub-terminal.
2. The method of claim 1, wherein the regional sales analysis process of the regional sales analysis unit is as follows:
marking each area corresponding to the shopping platform as an analysis area, setting a mark i to be a natural number larger than 1, acquiring the total purchase amount of a user terminal product corresponding to each analysis area in the shopping platform and the increase speed of the corresponding product purchase amount, and marking the total purchase amount of the user terminal product corresponding to each analysis area in the shopping platform and the increase speed of the corresponding product purchase amount as ZLi and SDi respectively; acquiring the continuous purchasing frequency of user terminal products corresponding to each analysis area in the shopping platform, and marking the continuous purchasing frequency of the user terminal products corresponding to each analysis area in the shopping platform as PLi;
by the formula
Obtaining a sales analysis coefficient Xi of a corresponding area of each analysis area, wherein a1, a2 and a3 are all preset proportionality coefficients, and a1 is more than a2 is more than a3 is more than 0;
and comparing the area sales analysis coefficient Xi corresponding to each analysis area with the area sales analysis coefficient threshold.
3. The method of claim 2, wherein comparing the regional sales coefficient to the regional sales coefficient threshold is as follows:
if the sales analysis coefficient Xi of the area corresponding to the analysis area exceeds the threshold value of the sales analysis coefficient of the area, judging that the product demand of the corresponding analysis area is high, marking the corresponding high-sales product as a demand product of the corresponding analysis area, generating a high demand signal and sending the high demand signal and the demand product of the corresponding analysis area to the server; if the analysis coefficient Xi of the area corresponding to the analysis area does not exceed the threshold value of the analysis coefficient of the area sales volume, judging that the product demand of the corresponding analysis area is low, marking the corresponding high-sales product as a non-demand product of the corresponding analysis area, generating a low-demand signal and sending the low-demand signal and the non-demand product of the corresponding analysis area to the server together.
4. The method according to claim 1, wherein the area evaluation analysis process of the area evaluation analysis unit is as follows:
setting a mark o of the required product in each analysis area, wherein the mark o is a natural number larger than 1, acquiring the favorable rating of the required product corresponding to each analysis area and the return frequency of the corresponding required product, and marking the favorable rating of the required product corresponding to each analysis area and the return frequency of the corresponding required product as HPo and THo respectively; the good rating HPo of the corresponding demand product in the analysis area and the return frequency THo of the corresponding demand product are compared with a good rating threshold and a return frequency threshold, respectively.
5. The method of claim 4, wherein the comparison of the goodness HPo of the corresponding demand product for the analysis area and the return frequency THo of the corresponding demand product to the corresponding threshold is as follows:
if the good evaluation rate HPo of the required product corresponding to the analysis area exceeds a good evaluation rate threshold value and the return frequency THo of the corresponding required product does not exceed a return frequency threshold value, judging that the corresponding brand of the required product corresponding to the analysis area is qualified, generating a product qualified signal and sending the product qualified signal and the number of the corresponding analysis area to the server; if the good rating HPo of the demand product corresponding to the analysis area does not exceed the good rating threshold or the return frequency THo of the corresponding demand product exceeds the return frequency threshold, determining that the demand product corresponding to the analysis area is unqualified, generating an unqualified product signal, sending the unqualified product signal and the serial number of the corresponding analysis area to the server, after receiving the unqualified product signal, performing brand change on the demand product corresponding to the analysis area, and marking the brand of the demand product corresponding to the unqualified product signal as a forbidden sale brand of the corresponding analysis area.
6. The method according to claim 1, wherein the product type setting process of the product type setting unit is as follows:
the ratio of the product replenishment period and the vending period of each analysis area corresponding to the merchant sub-terminal in the shopping platform and the shortening speed of the corresponding product vending period are collected, and the ratio of the product replenishment period and the vending period of each analysis area corresponding to the merchant sub-terminal in the shopping platform and the shortening speed of the corresponding product vending period are respectively compared with the period ratio threshold and the shortening speed threshold:
if the ratio of the product replenishment period to the selling period of each analysis area corresponding to the merchant sub-end in the shopping platform exceeds a period ratio threshold value and the shortening speed of the corresponding product selling period exceeds a shortening speed threshold value, marking the corresponding product as a sold product of the merchant sub-end, simultaneously generating a selling type determining signal and sending the selling type determining signal and the corresponding sold product to processing; if the ratio of the product replenishment period to the selling period of each analysis area corresponding to the merchant terminal in the shopping platform does not exceed the period ratio threshold value, or the shortening speed of the corresponding product selling period does not exceed the shortening speed threshold value, the corresponding product is marked as a non-sold product of the merchant terminal, and meanwhile, a selling type eliminating signal is generated and the selling type eliminating signal and the corresponding non-sold product are sent to the processor.
7. The method of claim 6, wherein the processor receives the vending type determination signal and uses the corresponding good product as a master product in the shopping platform, and wherein the processor receives the vending type exclusion signal and uses the corresponding non-good product as a stop product in the shopping platform.
8. A shopping platform for performing the method of any one of claims 1 to 7, comprising:
the terminal control module is used for controlling the user terminal in real time; the terminal management and control module comprises a server, and an area sales analysis unit and an area evaluation analysis unit which are in communication connection with the server; the system comprises a server, an area sales analysis unit, a product sales analysis unit, a high demand signal and demand product information generation unit, wherein the server is used for generating an area sales analysis signal and sending the area sales analysis signal to the area sales analysis unit; the server is also used for generating an area evaluation analysis signal and sending the area evaluation analysis signal to an area evaluation analysis unit, and the area evaluation analysis unit is used for analyzing the evaluation of the required products in each analysis area;
the sub-terminal management and control module is used for managing and controlling the merchant sub-terminal; the child terminal management and control module comprises a processor and a product type setting unit in communication connection with the processor; the processor is used for generating a product type setting signal and sending the product type setting signal to the product type setting unit, and the product type setting unit is used for setting the type of the product sold by the merchant.
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