A mobile terminal management system based on an intelligent network

Abstract

The present invention discloses a mobile terminal management system based on an intelligent network, which includes a data acquisition module, a preferential push module, and an output module. The data acquisition module is used to obtain relevant data in the mobile terminal; the preferential push module is used to obtain the actual consumption needs of users; the output module is used to output target consumption vouchers to users. In the present invention, through the preferential push module, the accuracy of merchants issuing coupons to users is increased, the user group is determined, and the loss of merchant reputation caused by pushing coupons to users without demand is reduced; at the same time, the specific needs of users to generate additional consumption desires during the process of walking and entering and leaving commercial buildings are calculated, the target of the beverage store selected by the user is screened, and the actual demand value of the user for beverages is adjusted, making the push of coupons to the user's mobile terminal more accurate. The present invention has the characteristics of high humanization degree and strong information transmission penetration ability.

Description

Technical Field

[0001] The present invention relates to the technical field of consumer consumption management, and in particular to a mobile terminal management system based on an intelligent network. Background Art

[0002] Nowadays, many businesses offer coupons to consumers, which can create a psychological pressure mechanism in consumers. Every time consumers are presented with a plethora of coupons and apps, each repeated viewing subtly reinforces their purchasing preferences and brand perception. Coupons are particularly attractive to those with limited financial resources who are willing to invest the time to search for deals and are somewhat wary of high store prices, creating a psychological pressure mechanism similar to a bargain.

[0003] In existing technology, mobile phone systems periodically distribute coupons from relevant businesses through ticketing apps, and also push discounts to pedestrians through mobile apps when mobile phone users pass by businesses. Currently, some people arrange activities such as watching movies or talk shows right after dining. These activities generate a large demand for drinks, but many people are reluctant to invest the time and effort to search for drink shops and store discount information after dining. Merchants also lack the ability to accurately determine users' actual needs. This results in merchants' coupons being mistargeted, which not only increases consumer costs and leads to dissatisfaction with the discounts offered to those in need, but also significantly limits merchants' promotional efforts. Therefore, it is essential to design a highly user-friendly and information-penetrating mobile terminal management system based on intelligent networks. Summary of the Invention

[0004] The purpose of the present invention is to provide a mobile terminal management system based on an intelligent network to solve the problems raised in the above background technology.

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions: a mobile terminal management system based on an intelligent network, comprising a data acquisition module, a discount push module and an output module, wherein the data acquisition module is used to obtain relevant data in the mobile terminal; the discount push module is used to obtain the user's actual consumption needs, and analyze the feasibility of pushing consumption coupons to the user of the demand target based on the data of the data acquisition module; the output module is used to output the demand target consumption coupons to the users who can be pushed in the analysis results of the discount push module.

[0006] According to the above technical solution, the data acquisition module includes a browsing information acquisition module and a consumption information acquisition module. The browsing information acquisition module is used to obtain the historical information related to the user's browsing of beverage stores in the mobile terminal; the consumption information acquisition module is used to obtain the relevant consumption information left by the user during the progress in the mobile terminal.

[0007] According to the above technical solution, the preferential push module includes a demand analysis module and a push feasibility detection module. The demand analysis module is used to monitor and analyze the actual consumption demand of the user in real time, and obtain the interest degree and actual demand of the user for the nearby target beverage stores during the progress; the push feasibility detection module is used to judge the feasibility of pushing consumption vouchers to the user through the detection results of the progress analysis module.

[0008] According to the above technical solution, the demand analysis module further includes a travel route analysis sub-module, a desire detection sub-module, a camera unit and a timing unit. The travel route analysis sub-module is used to analyze the travel route of the user from the dining location to the activity location; the desire detection sub-module is used to detect the additional consumption desire generated by the user during the process of entering and leaving the commercial building, and detect the possibility of the user's demand for consumption vouchers of the target beverage store; the camera unit is used to take pictures of the user entering and leaving the commercial building; the timing unit is used to time the travel time of the user through the mobile terminal.

[0009] According to the above technical solution, the output module includes a push module and a prompt module. The push module is used to push coupons to the user; the prompt module is used to prompt the demand target to recommend beverage products to the user.

[0010] According to the above technical solution, the operation method of the mobile terminal management system mainly includes the following steps:

[0011] Step S1: Connect the mobile terminal management system to the mobile terminal carried in the user's mobile phone, and establish a remote connection protocol with the monitoring systems in major business districts;

[0012] Step S2: By demarcating the possible travel routes and areas between the dining location where the user is located and the activity location where the user watches, calculate the digestion ability of the user for dining between the dining location and the beverage store and the time cost generated from the beverage store to the activity location;

[0013] Step S3: Analyze the desire ratio of the user to purchase additional beverages when entering and leaving the commercial building, and calculate the return on investment of distributing coupons to the target user by all beverage stores within the regional circle;

[0014] Step S4: The mobile terminal management system issues the most suitable coupons for the user's beverage store to the user.

[0015] According to the above technical solution, step S1 further includes:

[0016] Step S11: The user's online ticket purchase and payment records at restaurants and event venues in the business district are obtained through network data stored in the mobile terminal. The specific location and time of the event in the ticket purchase records are extracted, and the event venues are sorted in order of time. When the time between the restaurant consumption record and the event booking record is less than X minutes, the discount push module is activated, where X is the maximum shopping time scheduled by the consumer between the two events as obtained from the big data.

[0017] Step S12: Obtain the category of the booking location name in the booking software, filter out the restaurant name, and when it is detected that the user has generated a consumption record at the restaurant, monitor the user's location in real time through the positioning module, and the timing unit starts timing.

[0018] According to the above technical solution, step S2 further includes:

[0019] Step S21: Draw a fastest virtual action line segment from the dining location to the next time obtained in step S1, draw a region circle with the midpoint of the fastest virtual action line segment as the center and the distance from the center to the activity location as the radius, obtain all n beverage shops within the region circle through map search software and mark the specific location through the positioning module, obtain the navigation route from the dining location to the activity location in the navigation software, and the actual travel distance of the navigation route is L min From the dining location to the viewing location, draw a slowest virtual moving line segment while passing through as many marked beverage shops as possible in a single trip and ensuring that the angle between the walking direction and the fastest virtual moving line segment is less than 90°. The actual travel distance of the slowest virtual moving line segment is L max , then the distance range of the predicted user's route is [L min , L max ];

[0020] Step S22: Calculate the time difference T between the current time and the next time to book a ticket for the activity location. max When <AT, the current user's target location is locked as the next viewing activity location, where A is the normal walking speed;

[0021] Step S23: Continue to use the navigation software to determine the user's direction, enter the name of each beverage store as the detection target, and obtain the distance K from the dining location to each beverage store in the area circle, specifically K1, K2...K n , then the digestive capacity generated by dining places to beverage shops Simultaneously obtain the distances Q from each beverage store in the regional circle to the event location, specifically Q1, Q2... Q n Then the time cost generated from the beverage store to the event location

[0022] According to the above technical solution, step S3 further includes:

[0023] Step S31: When the positioning module obtains that the user's location is near a commercial building, remotely connect to the camera at the entrance and exit of the commercial street. When the camera captures the user entering the commercial building, the timing unit pauses timing and continues timing when the camera captures the user leaving the commercial building;

[0024] Step S32: Respectively obtain the coverage area of the commercial building in the regional circle, screen m beverage stores in the regional circle that coincide with the coverage area. The set temperature of the air conditioner in the current commercial building is Z1, and the current outdoor temperature is Z2. Then the temperature difference generated from entering and leaving the commercial building is z = |Z1 - Z2|. The desire ratio of users to consume due to the temperature difference when entering and leaving the commercial building where g is the conventional temperature at which most users buy beverages, affected by the current season and weather changes, and t is the time when the system obtains that the user leaves the commercial building;

[0025] Step S33: Calculate the actual consumption demand γ of the user. Specifically, the actual consumption demand γ1 = η + λ when the user is outside the commercial building and has not yet reached the beverage store, and the actual consumption demand γ2 = η - λ when the user enters the commercial building and has not yet reached the beverage store. Then the return on investment β for the beverage store to distribute coupons to this user is β = γ + μ.

[0026] According to the above technical solution, in step S4, the mobile terminal obtains the three beverage stores with the highest return on investment for distributing coupons within the regional circle, collects the coupons for this demand target in the mobile payment software. If the acquisition time of the coupon is one week ago and the coupon is still within the available period, then prompt the message of the coupon and the demand target store in the group buying software; if the current user has not obtained the coupon for the relevant demand target, then retrieve the issuance of the demand target coupon on the platform, obtain the coupon with the maximum amount before the current date and prompt the message of the coupon and the demand target store in the ticketing software

[0027] Compared with the prior art, the beneficial effects achieved by the present invention are as follows: In the present invention, through the preferential push module, the accuracy of merchants issuing coupons to users is increased, the user group is determined, and the loss of the merchant's reputation caused by pushing coupons to users with no demand is reduced; at the same time, through the travel route analysis sub-module and the desire detection sub-module, the problem that due to the obvious change in the temperature difference felt at different time points, a large error occurs in the actual consumption demand for beverages is solved. The specific demand for additional consumption desire generated by users during the process of walking and entering and leaving commercial buildings is calculated, the target of the beverage store selected by users is screened, and the actual demand value for beverages by users is adjusted, making the push of coupons to user mobile terminals more accurate. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] The drawings are used to provide a further understanding of the present invention, and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention, and do not constitute a limitation to the present invention. In the drawings:

[0029] Figure 1 is a schematic diagram of the system module composition of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0030] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0031] Please refer to Figure 1 , the present invention provides a technical solution: A mobile terminal management system based on an intelligent network, including:

[0032] A data acquisition module, a preferential push module, and an output module. The data acquisition module is used to obtain relevant data in the mobile terminal; the preferential push module is used to obtain the actual consumption demand of users, and analyze the feasibility of pushing consumption coupons to the demand target for users according to the data of the data acquisition module; the output module is used to output the demand target consumption coupons to the users who can be pushed in the analysis result of the preferential push module.

[0033] In the present invention, through the preferential push module, the accuracy of merchants' issuance of coupons to users is increased, the user group is determined, and the loss of the merchants' reputation caused by pushing coupons to users with no demand is reduced. At the same time, through the travel route analysis sub-module and the desire detection sub-module, the problem that the actual consumption demand for beverages has a large error due to the obvious change in the temperature difference felt at different time points is solved. The specific demand for additional consumption desire generated by users during the process of walking and entering and leaving commercial buildings is calculated, the target beverage stores selected by users are screened, and the actual demand value of users for beverages is adjusted, so that the push of coupons to users' mobile terminals is more accurate.

[0034] The data collection module includes a browsing information collection module and a consumption information collection module. The browsing information collection module is used to obtain the historical information related to users' browsing of beverage stores in the mobile terminal; the consumption information collection module is used to obtain the relevant consumption information left by users during the travel process in the mobile terminal.

[0035] The preferential push module includes a demand analysis module and a push feasibility detection module. The demand analysis module is used to monitor and analyze the actual consumption demand of users in real time, and obtain the interest degree and actual demand of users for nearby target beverage stores during the travel process; the push feasibility detection module is used to judge the feasibility of pushing consumption vouchers to the user based on the detection results of the travel analysis module.

[0036] The demand analysis module further includes a travel route analysis sub-module, a desire detection sub-module, a camera unit, and a timing unit. The travel route analysis sub-module is used to analyze the travel route of the user from the dining location to the activity location; the desire detection sub-module is used to detect the additional consumption desire generated by the user during the process of entering and leaving the commercial building, and detect the possibility of the user's demand for consumption vouchers for the target beverage store; the camera unit is used to capture the images of the user entering and leaving the commercial building; the timing unit is used to time the travel time of the user through the mobile terminal.

[0037] The output module includes a push module and a prompt module. The push module is used to push coupons to users; the prompt module is used to prompt the demand target to recommend beverage products to users.

[0038] In a preferred embodiment, the operation method of the mobile terminal management system mainly includes the following steps:

[0039] Step S1: Connect the mobile terminal management system to the mobile terminal carried in the user's mobile phone, and establish a remote connection protocol with the monitoring systems in major business districts;

[0040] Step S2: By delineating the possible travel routes and areas between the user's dining location at the restaurant and the viewing location of the event, the user's digestive capacity for the meal from the dining location to the beverage store and the time cost from the beverage store to the event location are calculated;

[0041] Step S3: Analyze the ratio of users' desire to purchase additional beverages when entering and exiting the commercial building, and calculate the return on investment of all beverage stores within the area for distributing coupons to target users;

[0042] Step S4: The mobile terminal management system issues a coupon of the beverage store that is most suitable for the user to the user.

[0043] In this embodiment, step S1 further includes:

[0044] Step S11: The user's online ticket purchase and payment records at restaurants and event venues in the business district are obtained through network data stored in the mobile terminal. The specific location and time of the event in the ticket purchase records are extracted, and the event venues are sorted in order of time. When the time between the restaurant consumption record and the event booking record is less than X minutes, the discount push module is activated, where X is the maximum shopping time scheduled by the consumer between the two events as obtained from the big data.

[0045] Step S12: Obtain the category of the booking location name in the booking software, filter out the restaurant name, and when it is detected that the user has generated a consumption record at the restaurant, monitor the user's location in real time through the positioning module, and the timing unit starts timing.

[0046] Through this technical solution, targeted screening of people shopping on the streets and in shopping malls is carried out, solving the problem of beverage stores having difficulty identifying specific high-demand user groups. This greatly increases the accuracy of merchants issuing coupons to users, identifies user groups, and reduces the loss of merchant reputation caused by pushing coupons to users without demand.

[0047] In this embodiment, step S2 further includes:

[0048] Step S21: Draw a fastest virtual action line segment from the dining location to the next time obtained in step S1, draw a region circle with the midpoint of the fastest virtual action line segment as the center and the distance from the center to the activity location as the radius, obtain all n beverage shops within the region circle through map search software and mark the specific location through the positioning module, obtain the navigation route from the dining location to the activity location in the navigation software, and the actual travel distance of the navigation route is L min, and draw a slowest virtual travel line segment from the dining location to the viewing event location, passing through as many marked beverage stores as possible in a single pass and ensuring that the angle between the walking direction and the fastest virtual action line segment is less than 90°. The actual travel distance of the slowest virtual travel line segment is L max , then the predicted distance range of the user's travel route is [L min , L max ;

[0049] Step S22: Calculate the time difference T between the current time and the ticket booking time of the next viewing event location. When L max <AT, lock the target location of the current user as the next viewing event location, where A is the normal walking speed;

[0050] Step S23: Continue to judge the user's direction through the navigation software, input the names of each beverage store as the detection target, and obtain the distances K from the dining location to each beverage store in the regional circle, specifically K1, K2... K n , then the digestion ability generated from the dining location to the beverage store At the same time, obtain the distances Q from each beverage store in the regional circle to the event location, specifically Q1, Q2... Q n , then the time cost generated from the beverage store to the event location

[0051] In this technical solution, through the travel route analysis sub-module, a macro analysis of the beverage stores in the area is carried out. By analyzing the travel route of the user from the dining location to the event location, the problem that users are pushed discounts when passing by beverage stores, resulting in low utilization efficiency of coupons, is solved. In the prior art, beverage store coupons are only pushed to users based on the user's location, which not only prevents users from selecting reasonable beverage store targets from the streamlined push options but also reduces the reputation of beverage store merchants.

[0052] In this embodiment, step S3 further includes:

[0053] Step S31: When the positioning module obtains that the user's location is near a commercial building, remotely connect to the camera at the entrance and exit of the commercial street. When the camera captures the user entering the commercial building, the timing unit pauses timing and continues timing when the camera captures the user leaving the commercial building;

[0054] Step S32: Respectively obtain the covered area of the commercial building in the regional circle, screen m beverage stores in the regional circle that coincide with the covered area. The temperature set by the air conditioner in the current commercial building is Z1, and the current outdoor temperature is Z2. Then the temperature difference generated by entering and leaving the commercial building is z = |Z1 - Z2|. The desire ratio of users to consume due to the temperature difference when entering and leaving the commercial building Among them, g is the conventional temperature at which most users purchase beverages, affected by the current season and weather changes, and t is the time when the system obtains that the user leaves the commercial building;

[0055] Step S33: Calculate the actual consumption demand γ of the user. Specifically, the actual consumption demand γ1 when the user is outside the commercial building and has not yet reached the beverage store is γ1 = η + λ, and the actual consumption demand γ2 when the user enters the commercial building and has not yet reached the beverage store is γ2 = η - λ. Then, the return on investment β for the beverage store to issue a coupon to this user is β = γ + μ.

[0056] Through this technical solution, the problem is solved that in the weather with a large temperature difference between indoors and outdoors, due to the user entering and leaving different commercial buildings and the different time spent outdoors, the temperature difference felt at different time points changes significantly, resulting in a large error in the actual consumption demand for beverages.

[0057] By calculating the additional consumption desire of the user entering and leaving the commercial building, screening the target beverage store selected by the user, and adjusting the actual demand value of the user for beverages, the push of coupons to the user's mobile terminal is made more accurate.

[0058] In step S4 of this embodiment, the three beverage stores with the highest return on investment for issuing coupons are obtained within the regional circle in the mobile terminal, and the coupons for this demand target are collected in the mobile payment software. If the acquisition time of the coupon is more than a week ago and the coupon is still within the available period, the message of the coupon and the target store of the demand will be prompted in the group buying software; if the current user does not obtain the coupon for the relevant demand target, the issuance of the coupon for the demand target will be retrieved on the platform, and the coupon with the largest amount before the current date will be obtained and the message of the coupon and the target store of the demand will be prompted in the ticket purchasing software.

[0059] Through this technical solution, in the case of accurately determining the specific user group with high demand, the actual coupon demand of the user is further satisfied. On the basis of the original calculation of the user's conventional return on investment, the problem that the conventional return on investment calculation cannot meet the user's needs in the case of a sudden increase in the user's consumption demand is solved. By automatically issuing coupons to the user on the group buying software, the actual needs of the user are satisfied, and at the same time, the publicity efforts of the merchant are greatly increased.

[0060] It should be noted that in this document, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the term "comprising", "including" or any other variation thereof is intended to cover non-exclusive inclusion, so that a process, method, article or device comprising a series of elements not only includes those elements but also includes other elements not expressly listed, or also includes elements inherent to such process, method, article or device.

[0061] Finally, it should be noted that the above are only preferred embodiments of the present invention and are not used to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some of the technical features. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. A mobile terminal management system based on an intelligent network, characterized in that: It includes a data acquisition module, a preferential offer push module, and an output module. The data acquisition module is used to obtain relevant data in the mobile terminal; the preferential offer push module is used to obtain the actual consumption needs of users, and analyze the feasibility of pushing consumption vouchers for the target beverage store for users based on the data of the data acquisition module; the output module is used to output consumption vouchers of the target beverage store for users who can be pushed according to the analysis result of the preferential offer push module. The data acquisition module includes a browsing information acquisition module and a consumption information acquisition module. The browsing information acquisition module is used to obtain the historical information related to users' browsing of beverage stores in the mobile terminal; the consumption information acquisition module is used to obtain the relevant consumption information left by users during the progress in the mobile terminal. The preferential offer push module includes a demand analysis module and a push feasibility detection module. The demand analysis module is used to monitor and analyze the actual consumption needs of users in real time, and obtain the interest and actual needs of users in the nearby target beverage stores during the progress; the push feasibility detection module is used to judge the feasibility of pushing consumption vouchers to this user through the detection result of the demand analysis module. The demand analysis module further includes a travel route analysis sub-module, a desire detection sub-module, a camera unit, and a timing unit. The travel route analysis sub-module is used to analyze the travel route of the user from the dining location to the activity location. The desire detection sub-module is used to detect the additional consumption desire generated by the user during the process of entering and leaving the commercial building, and detect the possibility of the user for the consumption vouchers of the target beverage store; the camera unit is used to capture the images of the user entering and leaving the commercial building; the timing unit is used to time the travel time of the user through the mobile terminal. The output module includes a push module and a prompt module. The push module is used to push coupons to users; the prompt module is used to prompt the target beverage store to recommend beverages to users. The operation method of the mobile terminal management system mainly includes the following steps: Step S1: Connect the mobile terminal management system to the mobile terminal carried by the user, and establish a remote connection protocol with the monitoring systems in major business districts. Step S2: By demarcating the possible travel routes and areas between the dining location where the user is located and the activity location where the user watches the activity, calculate the digestion ability of the user for dining between the dining location and the beverage store and the time cost generated from the beverage store to the activity location. Step S3: Analyze the desire ratio of the user to purchase additional beverages when entering and leaving the commercial building, and calculate the return on investment of distributing coupons to the target user by all beverage stores within the regional circle. Step S4: The mobile terminal management system issues the most suitable coupons for the user's beverage store to the user through the ticketing software. The step S1 further includes: Step S11: Obtain the online ticket purchase and payment records of the user at restaurants and event viewing locations in the business district area through the network data in the mobile terminal. Extract the specific location and time of the event in the ticket booking record, and sort the event locations sequentially according to the time. When the consumption record at the restaurant and the ticket booking record of the event viewing are less than X minutes apart, activate the preferential push module, where X is the maximum limited shopping time arranged by consumers between two events obtained from big data; Step S12: Obtain the category classified for the name of the ticket booking location in the ticket booking software, and screen out the restaurant names. When it is detected that the user has a consumption record at the dining location where the restaurant is located, the positioning module is used to monitor the user's location in real time, and the timing unit starts timing; The said Step S2 further includes: Step S21: Draw a fastest virtual action line segment from the dining location to the next time obtained in step S1, draw a region circle with the midpoint of the fastest virtual action line segment as the center and the distance from the center to the activity location as the radius, obtain all n beverage shops within the region circle through map search software and mark the specific location through the positioning module, obtain the navigation route from the dining location to the activity location in the navigation software, and the actual travel distance of the navigation route is L min From the dining location to the viewing location, draw a slowest virtual moving line segment while passing through as many marked beverage shops as possible in a single trip and ensuring that the angle between the walking direction and the fastest virtual moving line segment is less than 90°. The actual travel distance of the slowest virtual moving line segment is L max , then the distance range of the predicted user's route is [L min , L max ]; Step S22: Calculate the time difference T between the current time and the ticket booking time for the next viewing event location. When holds, lock the target location of the current user as the next viewing event location, where A is the normal walking speed. Step S23: Continue to determine the user's direction through the navigation software, input the names of each drink store as the detection targets, and obtain the distances K from the dining location in the regional circle to each drink store, specifically K1, K2... K n , then the digestion ability generated from the dining location to the drink store ; At the same time, obtain the distances Q from each drink store in the regional circle to the activity location, specifically Q1, Q2... Q n , then the time cost generated from the drink store to the activity location ; The said Step S3 further includes: Step S31: When the positioning module obtains that the user's location is near the commercial building, remotely connect to the camera at the entrance and exit of the commercial street. When the camera captures the user entering the commercial building, the timing unit pauses timing and continues timing when the camera captures the user leaving the commercial building; Step S32: Obtain the coverage areas of commercial buildings in the regional circle respectively, and screen m beverage stores that coincide with the coverage areas in the regional circle. If the set temperature of the air conditioner in the current commercial building is Z1 and the current outdoor temperature is Z2, then the temperature difference generated by entering and leaving the commercial building is , and the desire ratio of users to consume due to the temperature difference when entering and leaving the commercial building , where g is the conventional temperature at which most users buy beverages, and t is the time when the system obtains that the user leaves the commercial building, affected by the current season and weather changes; Step S33: Calculate the actual consumption demand γ of the user, specifically the actual consumption demand when the user is outside the commercial building and has not yet reached the beverage store , the actual consumption demand when the user enters the commercial building and has not yet reached the beverage store , then the return on investment of the beverage store distributing coupons to this user ; In the said Step S4, the mobile terminal obtains the three beverage stores with the highest return on investment for the issued coupons within the regional circle, and collects the coupons of the target beverage stores with such a demand in the mobile payment software. If the acquisition time of the coupon was a week ago and the coupon is still within the available period, the coupon and the message of the target beverage store with the demand are prompted in the group buying software; if the current user has not obtained the coupons of the relevant target beverage stores with the demand, search for the issuance of the coupons of the target beverage stores with the demand on the platform, obtain the coupon with the largest amount before the current date, and prompt the coupon and the message of the target beverage store with the demand in the ticket booking software.

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