CN116258519A - Shared store management system and method - Google Patents

Abstract

The invention relates to the technical field of shared stores, and provides a shared store management system and a method, wherein the system comprises the following steps: a general store module for recommending guests of a general store as sharing guests to the sharing store; a sharing guest module for displaying services or goods of the sharing store to the sharing guest; a sharing store module for acquiring a service or commodity of the sharing store selected by the sharing guest; and the management module is used for proportionally returning or rewarding the ordinary store according to the sharing store selected by the sharing guest and the service or commodity of the sharing store and the number, the times, the amount, the preferential activities and the preferential amount of the sharing guest consumed in the sharing store. The invention realizes the resource sharing between the common store and the shared store, so that the publicity cost and the store opening pressure of the store are reduced, and meanwhile, the win-win of the shared store, the common store and the shared guest is realized.

Description

Shared store management system and method

Technical Field

The invention relates to the technical field of shared stores, in particular to a shared store management system and method.

Background

Currently, with the penetration of internet technology, the application of shared economy is promoted, and the essence of shared economy is to integrate offline idle goods or servers, so that they can provide products or services at a lower price.

For traditional stores, how to cooperate with each other so that service or commodity resources among stores and customer resources are shared, so that the stores reduce propaganda cost and store opening pressure, and the problem of small flow is urgently needed to be solved.

Disclosure of Invention

In view of this, the present invention provides a system and a method for managing a shared store, which aims to solve the problem of how to share service or commodity resources and customer resources between existing stores.

In one aspect, the present invention provides a shared store management system comprising:

a common store module for recommending a guest of a common store as a sharing guest to the sharing store,

a sharing guest module for displaying services or goods of the sharing store to the sharing guest;

the sharing store module is used for acquiring the service or commodity of the sharing store selected by the sharing guest, and simultaneously acquiring the number of people, the times, the amount of money, the preferential activity and the preferential amount information consumed by the sharing guest in the sharing store;

And the management module is used for proportionally returning or rewarding the ordinary store according to the sharing store selected by the sharing guest and the service or commodity of the sharing store and the number, the times, the amount, the preferential activities and the preferential amount of the sharing guest consumed in the sharing store.

Further, the management module is further used for accurately calculating and counting according to the time, distance, track and Wifi signals shared between the sharing guests and the sharing store, and accurately calculating the specific sharing store reached by the sharing guests and supervising whether the sharing guests transact through the sharing store management system according to the sharing coincidence degree of the sharing guests and the sharing store.

Further, the ordinary store module is further configured to push any one or more of the following activities to the sharing guest when recommending the guest to be the sharing guest by the ordinary store: coupon, point, cashback, discount, offer, member, lottery, exempt, second kill, package, group purchase, special price, price purchase, half price, gift, and offer;

the management module is further configured to act upon any one or more of the following used by the sharing guests to reach the sharing store: the method comprises the steps of ticket, integral, cashing, discount, giving, member, lottery, exemption, second killing, package, group purchase, special price, price adding purchase, half price, money of buying, giving and preferential activity, number of times, number of people and preferential amount are cashed or rewarded to common stores according to preset proportion.

Further, the management module is further configured to use any one or more of the following activities for the sharing guest when the sharing guest subscribes online to a service or commodity of the sharing store: the method comprises the steps of providing calculation of preset discount proportion amount, number of persons and times for coupons, points, cashback, discounts, gifts, members, lottery, exemptions, second killing, packages, group purchase, special price, price purchase, half price, buying gifts and discount activities, sending calculated results to a sharing store and sharing guests, and meanwhile, receiving the preferential expense amount for the sharing guests according to the calculated results, paying the preferential amount for the sharing store according to the calculated results by a sharing store management system by the sharing guests, and cashing or rewarding the preferential amount for the ordinary store according to the preset proportion by the management module according to the amount, number of persons, times and preferential amount consumed by the sharing guests.

Further, the management module is further configured to use any one or more of the following activities in accordance with the amount consumed by the sharing guest at the sharing store: the management module calculates the preferential amount according to the amount consumed by the sharing guest in the sharing store according to a preset preferential proportion, and the sharing store receives the consumption amount of the sharing guest according to the preferential amount and displays the preferential number of times, the preferential amount, the residual preferential amount of times and the preferential amount to the sharing guest and the ordinary store.

Further, the management module is further configured to provide any one or more of the following activities: ticket, point, cashback, discount, gift, member, lottery, exempt, second killing, package, group purchase, special price, price purchase, half price purchase, gift, benefit, membership card and charge fee, to offset the proportion of cashback or rewarding of the ordinary store and the proportion of preferential amount and the proportion of commission of sharing guests.

Further, the management module is further used for binding the sharing guest with the ordinary store after the ordinary store module takes the guest of the ordinary store as the sharing guest, and the ordinary store module can call the state of the sharing guest bound with the ordinary store module in real time; wherein, the liquid crystal display device comprises a liquid crystal display device,

when the sharing guest does not exit the binding with the ordinary store, the management module is used for cashing or rewarding to the ordinary store according to a preset proportion when the sharing guest consumes at the sharing store each time;

when the sharing guest exits the binding with the ordinary store, the management module is configured to release the cashback or rewards for the ordinary store.

Further, the management module is further configured to, when the sharing guest has acquired or obtained any one or more of the following activities in the common store, even if the sharing guest exits the binding with the common store, the sharing guest acquires or obtains any one or more of the following activities before the sharing guest exits the common store, and the any one or more of the following activities in the common store are proportionally cashed or rewarded according to the amount, the number of people, the number of times of any one or more of the following activities in the sharing guest, including ticket, point, cashback, discount, gift, member, lottery, deduction, second killing, package, group purchase, special price, price adding purchase, half price, buying gift, and benefit, etc.

Further, the management module is further configured to count an online time length and a consumption amount of the sharing guest, to distinguish the sharing guest from a class, and to push any one or more of the following activities for the sharing guest according to the class of the sharing guest: coupon, point, cashback, discount, gift, member, lottery, exempt, second kill, package, group purchase, special price, price added purchase, half price, buy gift, and offer.

Compared with the prior art, the method has the advantages that the method recommends the guests of the common store as the sharing guests to the sharing store, shows the service or commodity of the sharing store to the sharing guests, acquires the service or commodity of the sharing store selected by the sharing guests, and simultaneously acquires the information of the number, the number of times, the amount, the preferential activity and the preferential amount of the sharing guests consumed by the sharing guests, and the service or commodity of the sharing store according to the sharing guests selected by the sharing guests and the number of times, the amount, the preferential activity and the preferential amount of the sharing guests consumed by the sharing guests, so that the sharing guests are proportionally returned or rewarded to the common store. The invention realizes the resource sharing between the common store and the shared store, so that the publicity cost and the store opening pressure of the store are reduced, and meanwhile, the win-win of the shared store, the common store and the shared guest is realized.

In another aspect, the present invention provides a system and a method for managing a shared store, including:

determining a shared store and an ordinary store that displays services or goods of the shared store on-line;

when a user consumes the service or commodity of the shared store, acquiring information of an order to be consumed of the user, and determining the identity of the user and the position information of the shared store;

when the user consumes in a shared store, acquiring real-time consumption order information of the user in the shared store, and comparing the real-time consumption order information with the to-be-consumed order information:

if the real-time consumption order information is consistent with the comparison result of the to-be-consumed order information, generating to-be-returned commission data;

if the comparison result of the real-time consumption order information and the to-be-consumed order information is inconsistent, acquiring a motion trail of the user:

when the positions of the common store and the shared store exist in the motion trail of the user at the same time, generating data to be commissioned;

when the position of the common store exists in the motion trail of the user and the position of the shared store does not exist, acquiring the motion trail of the user once every interval preset time length, and generating data to be returned when judging that the position of the common store and the position of the shared store exist in the motion trail simultaneously;

And issuing commissions to the ordinary store according to the commission returning data.

The method comprises the steps of determining a shared store and an ordinary store, displaying services or goods of the shared store on line by the ordinary store, acquiring information of an order to be consumed after a user consumes the services or goods of the shared store in the ordinary store, and determining the identity of the user and the position information of the ordinary store; when the user consumes in a shared store, acquiring real-time consumption order information of the user in the shared store, and comparing the real-time consumption order information with the to-be-consumed order information: if the real-time consumption order information is consistent with the comparison result of the to-be-consumed order information, generating to-be-returned commission data; if the comparison result of the real-time consumption order information and the to-be-consumed order information is inconsistent, acquiring a motion trail of the user: when the positions of the common store and the shared store exist in the motion trail of the user at the same time, generating data to be commissioned; when the position of the common store exists in the motion trail of the user and the position of the shared store does not exist, acquiring the motion trail of the user once every interval preset time length, and generating data to be returned when judging that the position of the common store and the position of the shared store exist in the motion trail simultaneously; and sending the commission returning data to the shared store, and feeding back a commission returning result. According to the invention, whether the user successfully consumes in the shared store or not can be accurately known according to the consumption order information of the user and the movement track information of the user, so that the return commission information can be effectively obtained, the condition that the service provider leaks the order after providing the service is avoided, and the accuracy of the data is effectively improved.

Further, the method and the device acquire the cooperation store set by screening the cooperation stores in a certain area, and acquire the initial store characteristics based on the cooperation store set; acquiring an evaluation score delta G of each store according to the initial store characteristics, and dividing the attribute of each store according to the relation between the evaluation score delta G and a reference score G0 of each store: if the delta G is more than or equal to G0, determining the attribute of the store as a shared store, and if the delta G is less than G0, determining the attribute of the store as an ordinary store, and after dividing the shared store and the ordinary store, respectively obtaining an ordinary store list and a shared store list; and generating an initial recommendation list according to the shared store list, and respectively pushing the initial recommendation list to each common store in the common store list so that the common store can display services or goods of each shared store in the initial recommendation list on line. The invention can effectively classify the stores, so that the resources are shared between the ordinary stores and the shared stores, the propaganda cost and the store opening pressure of the stores are reduced, the problems of small store flow and few guests are solved, the utilization rate of the resources is greatly improved, and the cost investment is reduced.

Drawings

Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to designate like parts throughout the figures. In the drawings:

FIG. 1 is a functional block diagram of a shared store management system provided by an embodiment of the present invention;

fig. 2 is a flowchart of a method for managing a shared store according to an embodiment of the present invention.

Detailed Description

Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art. It should be noted that, without conflict, the embodiments of the present invention and features of the embodiments may be combined with each other. The invention will be described in detail below with reference to the drawings in connection with embodiments.

Referring to fig. 1, the present embodiment provides a shared store management system, including:

a common store module for recommending a guest of a common store as a sharing guest to the sharing store,

a sharing guest module for displaying services or goods of the sharing store to the sharing guest;

the sharing store module is used for acquiring the service or commodity of the sharing store selected by the sharing guest, and simultaneously acquiring the number of people, the times, the amount of money, the preferential activity and the preferential amount information consumed by the sharing guest in the sharing store;

and the management module is used for proportionally returning or rewarding the ordinary store according to the sharing store selected by the sharing guest and the service or commodity of the sharing store and the number, the times, the amount, the preferential activities and the preferential amount of the sharing guest consumed in the sharing store.

Specifically, the shared-store management system of the present embodiment includes a shared-store module, an ordinary-store module, a shared-guest module, and a management module, and the ordinary-store recommends guests to the shared-store, making the guests of the ordinary store shared guests. The shared store management system presents services or goods and products of the shared store to the sharing guests through the sharing guest module. The sharing guests select a sharing store and services or goods and products of the sharing store and enjoy preferential or similar activities according to the demands. The shared store management system is used for proportionally returning or rewarding the common store according to the shared store selected by the sharing guest and the service, commodity and product of the shared store and the number, times, amount, preferential and other similar activities and preferential amounts consumed by the sharing guest in the shared store.

Specifically, the shared store module is a shared store added with the module, and the shared store has real-time communication between the shared store module and the shared store management system in the shared store management system. The sharing store module receives or transmits the service or goods and products selected by the sharing guests to the sharing store management system in real time according to the number of people, times, amount, preferential and other similar activities and preferential amount consumed by the sharing guests in the sharing store.

Specifically, the common store module is a common store added with the module, and the common store module in the common store management system is in real-time communication with the common management system. The common store recommends the details of the guests as the sharing guests and the information of getting the preferential activities to the sharing store management system in real time, and sends and receives the number of people, times, amount, preferential amount and the like consumed by the sharing guests in the sharing store and the preferential amount pushed to the common store by the sharing store management system, and receives the proportional cashback or rewards of the sharing store management system.

Specifically, the sharing guest module provides services or goods and products of the sharing store for the sharing guest added with the module, selects the services or goods and products of the sharing store according to the requirement of the sharing guest, and enjoys preferential and similar activities. The sharing store module is in real-time communication with the sharing store management system and transmits the sharing store selected by the sharing store management system according to the sharing guest and the service, commodity and product of the sharing store, and meanwhile, the amount of similar activities and preferential amounts such as the number of people, the number of times, the amount of money and preferential amounts consumed by the sharing guest in the sharing store are transmitted to the sharing store management system.

Specifically, the management module is further configured to accurately calculate and count according to the time, the distance, the track and the Wifi signal shared between the sharing guest and the sharing store, and accurately calculate a specific sharing store reached by the sharing guest and monitor whether the sharing guest transacts through the sharing store management system according to the sharing coincidence degree of the sharing guest and the sharing store.

It can be seen that when the transaction of the sharing guest and the sharing store bypasses the sharing store management system, the sharing store management system sends early warning information to the sharing guest and the sharing store, monitors the early warning information and sends the monitoring result to the ordinary store, and the ordinary store accurately knows the number of people, the times, the consumption amount and the preferential amount of the sharing guest recommended by the ordinary store to the sharing store in real time.

Specifically, the general store module is further configured to push any one or more of the following activities to a sharing guest when recommending the guest to be the sharing guest by the general store: coupon, point, cashback, discount, offer, member, lottery, exempt, second kill, package, group purchase, special price, price purchase, half price, gift, and offer; the management module is further configured to act upon any one or more of the following used by the sharing guests to reach the sharing store: the method comprises the steps of ticket, integral, cashing, discount, giving, member, lottery, exemption, second killing, package, group purchase, special price, price adding purchase, half price, money of buying, giving and preferential activity, number of times, number of people and preferential amount are cashed or rewarded to common stores according to preset proportion.

When the common guest is recommended to be the sharing guest by the common store, the common store pushes any one or more of the following activities, such as ticket, integral, cashback, discount, coupon, member, lottery, exemption, second killing, package, group purchase, special price, price adding purchase, half price, gift buying, coupon and the like to the sharing guest by the sharing store management system. The shared store management system returns or rewards the general store according to a preset proportion according to any one or more activities of ticket, point, cashback, discount, gift, member, lottery, exemption, second killing, package, group purchase, special price, price adding purchase, half price, buying gift, preferential and the like used by the shared guest to the shared store.

In particular, the management module is further configured to use any one or more of the following activities for the sharing guest when the sharing guest subscribes online to a service or commodity of the sharing store: the method comprises the steps of providing calculation of preset discount proportion amount, number of persons and times for coupons, points, cashback, discounts, gifts, members, lottery, exemptions, second killing, packages, group purchase, special price, price purchase, half price, buying gifts and discount activities, sending calculated results to a sharing store and sharing guests, and meanwhile, receiving the preferential expense amount for the sharing guests according to the calculated results, paying the preferential amount for the sharing store according to the calculated results by a sharing store management system by the sharing guests, and cashing or rewarding the preferential amount for the ordinary store according to the preset proportion by the management module according to the amount, number of persons, times and preferential amount consumed by the sharing guests.

In particular, the management module is further configured to use any one or more of the following activities in accordance with the amount consumed by the sharing guest at the sharing store: the management module calculates the preferential amount according to the amount consumed by the sharing guest in the sharing store according to a preset preferential proportion, and the sharing store receives the consumption amount of the sharing guest according to the preferential amount and displays the preferential number of times, the preferential amount, the residual preferential amount of times and the preferential amount to the sharing guest and the ordinary store.

Specifically, in this embodiment, the shared store may offset the proportion of the common store cashback or rewards and the proportion of the preferential amount of the sharing guest and the proportion of the commission of the shared store management system by purchasing any one or more of the following activities provided by the shared management system, such as ticket, point, cashing, discount, gift, member, lottery, group purchase, special price, price purchase, half price purchase, gift, coupon, and the like, or membership card and recharge.

Specifically, in this embodiment, after the common store makes the guest a sharing guest, the sharing store management system binds the sharing guest to the common store, and the common store invokes the state of the binding sharing guest in real time, such as the number, the consumption amount, the recharging amount, the amount of the obtained preferential activity, and the income amount. The sharing guest does not exit the binding with the regular store, and each time the sharing guest consumes at the sharing store, the sharing store management system will proportionally return to or reward the regular store. The shared guest releases the cashback or rewards to the ordinary store when exiting the binding.

Specifically, in this embodiment, the shared guest, after any one or more of the following activities that have been acquired or taken by the common store, ticket, point, cashback, discount, gift, member, lottery, exempt, second killing, package, group purchase, special price, price addition, half price, buy gift, benefit, and the like, the shared guest, even if the shared guest exits the binding with the common store, acquires or takes any one or more of the following activities that have been acquired or taken by the shared guest before the shared store uses the exit, ticket, point, cashback, discount, gift, member, lottery, exempt, second killing, package, group purchase, special price, price addition, half price, buy gift, benefit, and the like, the shared store management system will pay the price, rewards, the price addition, the benefit, the price addition, the price, and the like in proportion to the number of the common store or the like.

Specifically, in this embodiment, the online time of the sharing guest is counted, the sharing guest is classified into a class, the sharing store management system pushes any one or more of the following activities for the sharing guest according to the class of the sharing guest, such as ticket, point, cashback, discount, gift, member, lottery, exemption, second killing, package, group purchase, special price, price purchase, half price, buy gift, and preferential.

Specifically, in the present embodiment, sharing guests, sharing stores, and general stores provide online support and management, and manage various activities or members and charges.

Specifically, in this embodiment, any one or more of the following activities, such as prompt, notification, promotion, ticket, point, cashback, discount, gift, member, lottery, exemption, second killing, package, group purchase, special price, price purchase, half price, gift, and benefit, are pushed to a sharing store, an ordinary store, and a sharing guest according to the demand level and the consumption habit.

Specifically, in this embodiment, any one or more of the following activities, such as ticket, credit, cashback, discount, gift, member, lottery, exemption, second-kill, package, group purchase, special price, price purchase, half price purchase, gift, coupon, etc. are used after the sharing guest consumes or subscribes online in the sharing store, and the use of the rechargeable money is confirmed and the detailed data is sent to the sharing store management system. The shared store management system uses any one or more of the following activities, such as ticket, point, cashback, discount, presentation, member, lottery, exemption, second killing, package, group purchase, special price, price purchase, half price purchase, gift, discount and the like, or the conditions of membership card and charging money, the amount, the times and the number of people are cashed or rewarded to the ordinary store according to the data sent by the shared store and the shared guest.

Specifically, in this embodiment, the price of the service or commodity, the display picture, the preferential activities of participation, the lottery activities and the like are accurately transmitted to the shared store management system, and the shared store management system transmits the detailed information of the completion of the shared store modification to the shared guest and the common store for marking or displaying.

Specifically, in this embodiment, any one or more of the following activities, such as ticket, point, cashback, discount, gift, member, lottery, exemption, second killing, package, group purchase, special price, price purchase, half price purchase, gift, coupon, and the like, are issued by the online purchase sharing store management system, and the like, such as a membership card or a charging fee.

Specifically, in this embodiment, the shared store management system is shown to require a page and receive instructions.

Specifically, the common store in this embodiment includes: the number of people consuming from the sharing guest to the sharing store, the consumption amount, the recharging amount, the amount of the obtained preferential activity and the income amount. And receiving and supervising the consumption of the sharing guests to the sharing store according to the accurate information provided by the sharing store management system.

Specifically, in this embodiment, when a common store recommends a guest to be a sharing guest, the recommendation method used includes any one or more of electronic ticket, code-scanning, payment, code-scanning, paper, card, internet, medium, telephone, verbal, and the like.

Specifically, the common store module in this embodiment includes, can set, and is capable of displaying the content of the activities such as the preferential activities, the lottery activities, and the gifting activities, and is pushed to the sharing guest module for displaying after being checked by the sharing store management system.

Specifically, the common store module in this embodiment includes, displays pages that the shared store management system needs to display, and receives instructions.

Specifically, in this embodiment, the sharing guest includes, obtains or receives any one or more of ticket, point, cashback, discount, gift, member, lottery, exempt, second kill, package, group purchase, special price, price purchase, half price purchase, gift, coupon, and the like, or purchases a membership card and a refill.

Specifically, sharing guests in this embodiment includes, participates in, any one or more of an event, an online booking, an online payment, an online group purchase, an online mall, an online recharge, an online lottery, an online communication, an online pick-up ticket, an online pick-up gift, an online pick-up discount product, an online transacting membership card or other card, an online comment, and the like.

Specifically, the sharing guests in this embodiment include, according to the lives, times, amounts, and shared store management systems consumed by the sharing guests, sending to the sharing guests any one or more of the following activities, such as ticket, point, cashback, discount, gift, member, lottery, exemption, second-killing, package, group purchase, special price, price purchase, half-price purchase, gift, offer, and the like, or the membership card and the discount conditions of the recharging hardware and the specific offers, in real time and displaying on the sharing guests.

Specifically, sharing guests in this embodiment includes recommending that new persons be rewarded or rewarded by the sharing management system. The sharing guests can enjoy the preferential or lottery activities of the ordinary store when the sharing guests are consumed again to the ordinary store. The shared guest module comprises and displays pages to be displayed by the shared store management system and receives instructions.

The embodiment realizes win-win of sharing stores and common stores and sharing guests. The problem that the prior art cannot realize that the number of people, the number of times and the amount of money of the sharing store, which are recommended by the common store, cannot be accurately calculated is solved, and the problem that the sharing store and the common store cannot successfully cooperate together to win is solved. Creating a new business model.

Referring to fig. 2, in another preferred implementation manner based on the above embodiment, the present invention provides a method for managing a shared store, which includes the following steps:

step S100: determining a shared store and an ordinary store that displays services or goods of the shared store on-line;

step S200: when a user consumes the service or commodity of the shared store, acquiring information of an order to be consumed of the user, and determining the identity of the user and the position information of the shared store;

Step S300: when the user consumes in the shared store, acquiring real-time consumption order information of the user in the shared store, comparing the real-time consumption order information with the to-be-consumed order information, and generating to-be-returned commission data according to a comparison result.

The method for generating the data to be returned according to the comparison result comprises the following steps: if the real-time consumption order information is consistent with the comparison result of the to-be-consumed order information, generating to-be-returned commission data;

if the comparison result of the real-time consumption order information and the to-be-consumed order information is inconsistent, acquiring a motion trail of the user:

when the positions of the common store and the shared store exist in the motion trail of the user at the same time, generating data to be commissioned;

when the position of the common store exists in the motion trail of the user and the position of the shared store does not exist, acquiring the motion trail of the user once every interval preset time length, and generating data to be returned when judging that the position of the common store and the position of the shared store exist in the motion trail simultaneously;

step S400: and issuing commissions to the ordinary store according to the commission returning data.

The user in this embodiment is the sharing guest in each embodiment.

According to the embodiment, whether the user successfully consumes in the shared store or not can be accurately known according to the consumption order information of the user and the movement track information of the user, so that the return commission information can be effectively obtained, the condition that the service provider leaks the order after providing the service is avoided, and the accuracy of the data is effectively improved.

Specifically, when the user obtains the information of the order to be consumed after consuming the service or the commodity of the shared store in the common store, and determines the identity of the user and the location information of the common store, the method includes:

acquiring the position information of a shared store consumed by the user;

and matching the identity information of the user with the position information of the shared store and the common store respectively.

Specifically, after the user consumes the service or commodity of the shared store in the ordinary store, the method includes:

recording the position information of the user in real time, generating a motion trail of the user according to the position information of the user, and fusing the motion trail of the user in a preset duration.

Specifically, when acquiring the motion trail of the user, the method includes:

And acquiring the consumption amount of the service or commodity of the shared store consumed by the user in the ordinary store, and determining the interval time length when the motion trail of the user is acquired each time according to the consumption amount.

Specifically, when determining the shared store and the ordinary store, the method includes:

and screening the cooperated shops in a certain area to obtain a cooperated shop set, and obtaining initial shop characteristics based on the cooperated shop set.

And acquiring an evaluation score delta G of each store according to the initial store characteristics, and dividing the attribute of each store according to the relation between the evaluation score delta G and the reference score G0 of each store.

Specifically, when dividing the attribute of each store, if Δg is equal to or greater than G0, determining the attribute of the store as a shared store, if Δg is less than G0, determining the attribute of the store as an ordinary store, and after dividing the shared store and the ordinary store, acquiring an ordinary store list and a shared store list, respectively;

and generating an initial recommendation list according to the shared store list, and respectively pushing the initial recommendation list to each common store in the common store list so that the common store can display services or goods of each shared store in the initial recommendation list on line.

Specifically, when generating an initial recommendation list according to the shared store list, the method includes:

determining the evaluation scores of all the shared stores in the shared store list, sorting the evaluation scores of all the shared stores from high to low, generating the initial recommendation list, and displaying the stores according to the arrangement sequence of all the shared stores in the initial recommendation list when the initial recommendation list is pushed to the users in the ordinary stores.

Specifically, after the initial recommendation list is generated and the shared stores in the initial recommendation list are ranked according to the evaluation scores of the shared stores, the method further comprises:

and acquiring association coefficients between the common store and each shared store in the initial recommendation list, recording the association coefficients as store association coefficients delta F, re-ordering the shared stores in the initial recommendation list according to the store association coefficients delta F, acquiring a first recommendation list, and pushing the list to users in the common store according to the first recommendation list.

Specifically, reordering the shared stores in the initial recommendation list according to the store association coefficient Δf to obtain the first recommendation list includes:

The store association coefficient DeltaF between the common store and the shared store in any one of the initial recommendation lists is calculated according to the following formula: Δf= (1/h 0)/(x 0/100)/(y 2/y 1) ×100, wherein h0 is the distance between the common store and the shared store, the unit of h0 is kilometers, x0 is the preferential amount of the shared store, when the preferential amount of the shared store is 0, the value of x0 is 1, y1 is the average consumption value of customers in the area, and y2 is the average consumption value of people in the shared store;

after acquiring the shop correlation coefficient DeltaF between the common shops and each shared shop in the initial recommendation list, sequencing the shop correlation coefficient DeltaF between each shared shop in the order from big to small, and sequentially adjusting each shared shop in the initial recommendation list according to the corresponding order to be used as the first recommendation list for list recommendation.

Specifically, when the list pushing is performed to the user in the ordinary store according to the first recommendation list after the first recommendation list is generated, the method further includes:

acquiring a correlation coefficient between a user in the ordinary store and the ordinary store, recording the correlation coefficient as a user correlation coefficient delta F0, adjusting a first recommendation list pushed to the user according to the user correlation coefficient delta F0, acquiring a second recommendation list, and recommending the list to the user according to the second recommendation list;

The user association coefficient Δf0 is calculated according to the following formula: Δf0= (y 3/y 1) × (y 3/y 4) × 100, wherein y1 is the average customer consumption value in the area, y3 is the average people consumption value for an ordinary store, and y4 is the average user consumption value.

Specifically, when the first recommendation list pushed to the user is adjusted according to the user association coefficient Δf0 and the second recommendation list is obtained, the method includes:

and respectively moving the ordering of the shared stores with the store association coefficient delta F smaller than the user association coefficient delta F0 in the first recommendation list to the end of the first recommendation list, and forming the second recommendation list.

Specifically, when list recommendation is performed to the user according to the second recommendation list, the method includes:

acquiring business hours (T1, tn) of each shared store in the second recommendation list, wherein T1 is the start business hours and Tn is the end business hours;

when recommending the list to the users in the common store, acquiring the current time DeltaT in real time, and adjusting each sharing store in the second recommending list according to the comparison result between the current time DeltaT and business hours (T1, tn):

When DeltaT is between T1-Tn, not adjusting each sharing store in the second recommendation list;

and when the delta T is positioned between Tn-T1, eliminating the sharing store from the second recommendation list.

Specifically, when the evaluation score Δg of each store is obtained from the initial store feature, and the attribute of each store is classified according to the relationship between the evaluation score Δg of each store and the reference score G0, the method includes:

the initial store characteristics include average single month profit A, average single month passenger flow B, store registration funds C, store average consumer consumption D, and store customer group E;

the evaluation score Δg is calculated according to the following formula: Δg= (a+b+c+d+e) ×r, where a is an average monthly profit reference coefficient, 0 < a is equal to or less than 1, b is an average monthly passenger flow reference coefficient, 0 < b is equal to or less than 1, c is a store registration fund reference coefficient, 0 < c is equal to or less than 1, d is a store average consumption coefficient, 0 < d is equal to or less than 1, e is a store customer population coefficient, 0 < e is equal to or less than 1, R is a constant, and 20 is equal to or less than 30.

Specifically, the average single month profit reference coefficient a, the average single month passenger flow volume reference coefficient B, the store registration funds reference coefficient C, the store average consumption coefficient D and the store customer group coefficient E are determined according to the average single month profit A, the average single month passenger flow volume B, the store registration funds C, the store average consumption D and the store customer group E respectively.

Specifically, when determining the average single month profit reference coefficient a according to the average single month profit a, the method includes:

setting a first preset single month profit A1, a second preset single month profit A2, a third preset single month profit A3 and a fourth preset single month profit A4, wherein A1 is more than A2 and less than A3 and less than A4; setting a first preset single month profit reference coefficient a1, a second preset single month profit reference coefficient a2, a third preset single month profit reference coefficient a3 and a fourth preset single month profit reference coefficient a4, wherein a is more than 0 and less than 1 and less than 2 and a3 and less than or equal to 1;

determining the average single month profit reference coefficient a according to the relation between the average single month profit A and each preset single month profit:

when A is less than or equal to A1, selecting the first preset single month profit reference coefficient A1 as the average single month profit reference coefficient a;

when A1 is more than A and less than or equal to A2, selecting the second preset single month profit reference coefficient A2 as the average single month profit reference coefficient a;

when A2 is less than A and less than or equal to A3, selecting the third preset single month profit reference coefficient A3 as the average single month profit reference coefficient a;

and when A3 is less than A and less than or equal to A4, selecting the fourth preset single month profit reference coefficient A4 as the average single month profit reference coefficient a.

Specifically, when determining the average single month passenger flow volume reference coefficient B according to the average single month passenger flow volume B, the method includes:

setting a first preset single month passenger flow volume B1, a second preset single month passenger flow volume B2, a third preset single month passenger flow volume B3 and a fourth preset single month passenger flow volume B4, wherein B1 is more than B2 and less than B3 and less than B4; setting a first preset single month passenger flow reference coefficient b1, a second preset single month passenger flow reference coefficient b2, a third preset single month passenger flow reference coefficient b3 and a fourth preset single month passenger flow reference coefficient b4, wherein b1 is more than 0 and less than 2, b3 is more than 3 and less than or equal to 1;

determining the average single-month passenger flow reference coefficient B according to the relation between the average single-month passenger flow B and each preset single-month passenger flow:

when B is less than or equal to B1, selecting the first preset single month passenger flow volume reference coefficient B1 as the average single month passenger flow volume reference coefficient B;

when B1 is more than B and less than or equal to B2, selecting the second preset single month passenger flow volume reference coefficient B2 as the average single month passenger flow volume reference coefficient B;

when B2 is more than B and less than or equal to B3, selecting the third preset single month passenger flow volume reference coefficient B3 as the average single month passenger flow volume reference coefficient B;

and when B3 is more than B and less than or equal to B4, selecting the fourth preset single month passenger flow volume reference coefficient B4 as the average single month passenger flow volume reference coefficient B.

Specifically, when determining the reference coefficient C of the store registration funds according to the store registration funds C, the method includes:

setting a first preset registration fund C1, a second preset registration fund C2, a third preset registration fund C3 and a fourth preset registration fund C4, wherein C1 is more than C and less than C3 and less than C4; setting a first preset registration fund reference coefficient c1, a second preset registration fund reference coefficient c2, a third preset registration fund reference coefficient c3 and a fourth preset registration fund reference coefficient c4, wherein c1 is more than 0 and less than c2 and c3 is more than 0 and less than or equal to 1;

determining the reference coefficient C of the store registration funds according to the relation between the store registration funds C and each preset registration funds:

when C is less than or equal to C1, selecting the first preset registered funds reference coefficient C1 as the average store registered funds reference coefficient C;

when C1 is more than C and less than or equal to C2, selecting the second preset registered fund reference coefficient C2 as the store registered fund reference coefficient C;

when C2 is more than C and less than or equal to C3, selecting the third preset registered fund reference coefficient C3 as the store registered fund reference coefficient C;

and when C3 is less than C and less than or equal to C4, selecting the fourth preset registered fund reference coefficient C4 as the store registered fund reference coefficient C.

Specifically, when determining the average store consumption coefficient D according to the average store consumption D, the method includes:

setting a first preset average human consumption D1, a second preset average human consumption D2, a third preset average human consumption D3 and a fourth preset average human consumption D4, wherein D1 is more than D2 and less than D3 and less than D4; setting a first preset average human consumption coefficient d1, a second preset average human consumption coefficient d2, a third preset average human consumption coefficient d3 and a fourth preset average human consumption coefficient d4, wherein d1 is more than 0 and less than 2 and d3 is more than 0 and less than or equal to 1;

determining the average consumption coefficient D of the store according to the relationship between the average consumption D of the store and each preset average consumption:

when D is less than or equal to D1, selecting the first preset average people consumption coefficient D1 as the store average people consumption coefficient D;

when D1 is more than D and less than or equal to D2, selecting the second preset average people consumption coefficient D2 as the store average people consumption coefficient D;

when D2 is more than D and less than or equal to D3, selecting the third preset average people consumption coefficient D3 as the store average people consumption coefficient D;

and when D3 is less than D and less than or equal to D4, selecting the fourth preset average human consumption coefficient D4 as the store average human consumption coefficient D.

Specifically, when determining the store client group coefficient E according to the store client group E, the method includes:

The store customer group E comprises a children group E1, a teenager group E2, an elderly group E3 and a middle-aged group E4; setting a first preset customer group coefficient e1, a second preset customer group coefficient e2, a third preset customer group coefficient e3 and a fourth preset customer group coefficient e4, wherein d1 is more than 0 and less than 2 and d3 is more than 0 and less than or equal to 1;

determining the store customer group coefficient E according to the store customer group E:

when E is E1, selecting the first preset customer group coefficient E1 as the store customer group coefficient E;

when E is E2, selecting the second preset customer group coefficient E2 as the store customer group coefficient E;

when E is E3, selecting the third preset customer group coefficient E3 as the store customer group coefficient E;

when E is E4, the fourth preset customer group coefficient E4 is selected as the store customer group coefficient E.

Specifically, determining the evaluation score Δg of each shared store in the shared store list, and sorting the evaluation scores Δg of each shared store in order from high to low, and generating the initial recommendation list includes:

after obtaining the evaluation score Δg of each shared store in the shared store list, obtaining the number Δd of on-sale products of each shared store, and correcting the obtained evaluation score Δg of each shared store according to the number Δd of on-sale products, including:

Setting a first preset commodity selling quantity D1, a second preset commodity selling quantity D2, a third preset commodity selling quantity D3 and a fourth preset commodity selling quantity D4, wherein D1 is more than D2 and less than D3 and less than D4; the method comprises the steps of setting a first preset correction coefficient g1, a second preset correction coefficient g2, a third preset correction coefficient g3 and a fourth preset correction coefficient g4, wherein g1 is more than 1 and g2 is more than 3 and g4 is more than 1.2.

Specifically, the evaluation score Δg is corrected according to the relationship between the number of on-sale products Δd and each preset number of on-sale products:

when DeltaD is less than or equal to D1, the first preset correction coefficient G1 is selected to correct the evaluation score DeltaG, and the corrected evaluation score is DeltaG x G1;

when D1 < [ delta ] D is less than or equal to D2, selecting the second preset correction coefficient G2 to correct the evaluation score [ delta ] G, wherein the corrected evaluation score is [ delta ] G.g2;

when D2 < [ delta ] D is less than or equal to D3, selecting the third preset correction coefficient G3 to correct the evaluation score [ delta ] G, wherein the corrected evaluation score is [ delta ] G3;

when D3 < [ delta ] D is less than or equal to D4, selecting the fourth preset correction coefficient G4 to correct the evaluation score [ delta ] G, wherein the corrected evaluation score is [ delta ] G4;

and selecting an i-th preset correction coefficient gi to correct the evaluation score delta G, wherein i=1, 2,3 and 4, obtaining corrected evaluation scores delta G, and then sorting all sharing stores according to the corrected evaluation scores delta G to obtain the initial recommendation list.

Specifically, after each shared store in the second recommendation list is adjusted according to the comparison result between the current time Δt and the business hours (T1, tn), the method includes:

and acquiring real-time characteristics of each sharing store in the second recommendation list after one time adjustment after each preset time interval, and when determining real-time scores delta H of each sharing store according to the difference between the initial store characteristics and the real-time characteristics of each sharing store in the second recommendation list after adjustment, sequencing the real-time scores delta H of each sharing store according to the sequence from big to small, and generating a third recommendation list to recommend the list to a user.

Specifically, the real-time features include a real-time average single month profit Δa, a real-time average single month passenger flow Δb, and a real-time store registration fund Δc;

correcting the evaluation score delta G after selecting an ith preset correction coefficient gi to obtain a corrected evaluation score delta G;

determining an adjustment coefficient according to the difference value among the real-time average single month profit DeltaA, the real-time average single month passenger flow DeltaB and the real-time store registration funds DeltaC and the average single month profit A, the average single month passenger flow B and the store registration funds C, and acquiring real-time scores DeltaH of the common store and the shared store after adjusting the corrected evaluation scores DeltaG by the adjustment coefficient;

Setting a first preset adjusting coefficient h1, a second preset adjusting coefficient h2, a third preset adjusting coefficient h3 and a fourth preset adjusting coefficient h4, wherein h1 is more than 1 and less than h2, h3 is more than 3 and less than 1.5; wherein, the liquid crystal display device comprises a liquid crystal display device,

when determining the adjustment coefficient according to the difference value between the real-time average single month profit DeltaA, the real-time average single month passenger flow DeltaB and the real-time store registration funds DeltaC and the initial store characteristics including the average single month profit A, the average single month passenger flow B and the store registration funds C, the adjustment coefficient is specifically:

when ΔA-A > 0, Δb-B > 0 and Δc-C > 0 satisfy one of them, selecting the first preset adjustment coefficient H1 to adjust the corrected evaluation score Δg×gi to obtain the real-time score Δh, where Δh= Δg×gi×h1;

when ΔA-A > 0, Δc-C > 0 and Δb-B is less than or equal to 0, or when Δb-B > 0, Δc-C > 0 and ΔA-A is less than or equal to 0, selecting the second preset adjustment coefficient H2 to adjust the corrected evaluation score Δg×gi to obtain the real-time score Δh, where Δh= Δg×gi×h2;

when ΔA-A > 0 and Δb-B > 0, and Δc-C is less than or equal to 0, selecting the third preset adjustment coefficient H3 to adjust the corrected evaluation score Δg×gi to obtain the real-time score Δh, where Δh= Δg×gi×h3;

When ΔA-A > 0, Δb-B > 0 and Δc-C > 0, the fourth preset adjustment coefficient H4 is selected to adjust the corrected evaluation score Δg×gi to obtain the real-time score Δh, where Δh= Δg×gi×h4.

Specifically, when the real-time scores Δh of the shared stores are ranked in order from large to small, and a third recommendation list is generated to recommend the list to the user, the method includes:

selecting an i preset adjustment coefficient hi to adjust the corrected evaluation score delta G gi to obtain the real-time score delta H, wherein delta H= delta G gi hi;

presetting a first preset score H1, a second preset score H2, a third preset score H3 and a fourth preset score H4, wherein H1 is more than H2 and more than H3 is more than H4;

list division is carried out on each sharing store according to the relation between the real-time score delta H of each sharing store and each preset score:

dividing the shared store into a first recommendation list L1 when DeltaH > H1;

when H1 is more than or equal to DeltaH > H2, dividing the shared store into a second recommendation list L2;

when H2 is more than or equal to DeltaH > H3, dividing the shared store into a third recommendation list L3;

when H3 is more than or equal to DeltaH > H4, dividing the shared store into a fourth recommendation list L4;

When H4 is not less than delta H, dividing the shared store into a fifth recommendation list L5;

sequentially arranging and combining L1-L5 into a third recommendation list L0, L0[ L1-L2-L3-L4-L5], and sequentially pushing a first recommendation list L1 to a fifth recommendation list L5 in the third recommendation list L0 to a user according to the change of the current time DeltaT;

when the first to fifth recommendation lists L1 to L5 are sequentially pushed to the user, a pushing interval between two adjacent recommendation lists is at least one hour.

In the embodiment, the cooperation store set is obtained by screening the cooperation stores in a certain area, and the initial store characteristics are obtained based on the cooperation store set; acquiring an evaluation score delta G of each store according to the initial store characteristics, and dividing the attribute of each store according to the relation between the evaluation score delta G and a reference score G0 of each store: if the delta G is more than or equal to G0, determining the attribute of the store as a shared store, and if the delta G is less than G0, determining the attribute of the store as an ordinary store, and after dividing the shared store and the ordinary store, respectively obtaining an ordinary store list and a shared store list; and generating an initial recommendation list according to the shared store list, and respectively pushing the initial recommendation list to each common store in the common store list so that the common store can display services or goods of each shared store in the initial recommendation list on line. The invention can effectively classify the stores, so that the resources are shared between the ordinary stores and the shared stores, the propaganda cost and the store opening pressure of the stores are reduced, the problems of small store flow and few guests are solved, the utilization rate of the resources is greatly improved, and the cost investment is reduced.

It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.

The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

Finally, it should be noted that: the above embodiments are only for illustrating the technical aspects of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the above embodiments, it should be understood by those of ordinary skill in the art that: modifications and equivalents may be made to the specific embodiments of the invention without departing from the spirit and scope of the invention, which is intended to be covered by the claims.

Claims (10)

1. A shared store management system, comprising:

a common store module for recommending a guest of a common store as a sharing guest to the sharing store,

a sharing guest module for displaying services or goods of the sharing store to the sharing guest;

the sharing store module is used for acquiring the service or commodity of the sharing store selected by the sharing guest, and simultaneously acquiring the number of people, the times, the amount of money, the preferential activity and the preferential amount information consumed by the sharing guest in the sharing store;

and the management module is used for proportionally returning or rewarding the ordinary store according to the sharing store selected by the sharing guest and the service or commodity of the sharing store and the number, the times, the amount, the preferential activities and the preferential amount of the sharing guest consumed in the sharing store.

2. The shared store management system as recited in claim 1, wherein,

the management module is also used for accurately calculating and counting according to the time, the distance, the track and the Wifi signal shared between the sharing guest and the sharing store, accurately calculating the specific sharing store reached by the sharing guest and supervising whether the sharing guest carries out transactions through the sharing store management system according to the sharing coincidence degree of the sharing guest and the sharing store.

3. The shared store management system as recited in claim 1, wherein,

the ordinary store module is further configured to push any one or more of the following activities to the sharing guest when recommending the guest to be the sharing guest to the ordinary store: coupon, point, cashback, discount, offer, member, lottery, exempt, second kill, package, group purchase, special price, price purchase, half price, gift, and offer;

the management module is further configured to act upon any one or more of the following used by the sharing guests to reach the sharing store: the method comprises the steps of ticket, integral, cashing, discount, giving, member, lottery, exemption, second killing, package, group purchase, special price, price adding purchase, half price, money of buying, giving and preferential activity, number of times, number of people and preferential amount are cashed or rewarded to common stores according to preset proportion.

4. The shared store management system as recited in claim 1, wherein,

the management module is further configured to use any one or more of the following activities for the sharing guest when the sharing guest online subscribes to a service or commodity of the sharing store: the method comprises the steps of providing calculation of preset discount proportion amount, number of persons and times for coupons, points, cashback, discounts, gifts, members, lottery, exemptions, second killing, packages, group purchase, special price, price purchase, half price, buying gifts and discount activities, sending calculated results to a sharing store and sharing guests, and meanwhile, receiving the preferential expense amount for the sharing guests according to the calculated results, paying the preferential amount for the sharing store according to the calculated results by a sharing store management system by the sharing guests, and cashing or rewarding the preferential amount for the ordinary store according to the preset proportion by the management module according to the amount, number of persons, times and preferential amount consumed by the sharing guests.

5. The shared store management system as recited in claim 1, wherein,

the management module is further configured to use any one or more of the following activities in accordance with the amount consumed by the sharing guest at the sharing store: the management module calculates the preferential amount according to the amount consumed by the sharing guest in the sharing store according to a preset preferential proportion, and the sharing store receives the consumption amount of the sharing guest according to the preferential amount and displays the preferential number, the times and the amount of the rest times and the amount of the preferential activity to the sharing guest and the ordinary store respectively.

6. The shared store management system of claim 1, wherein the management module is further configured to provide any one or more of the following activities: ticket, point, cashback, discount, gift, member, lottery, exempt, second killing, package, group purchase, special price, price purchase, half price purchase, gift, benefit, membership card and charge fee, to offset the proportion of cashback or rewarding of the ordinary store and the proportion of preferential amount and the proportion of commission of sharing guests.

7. The shared-store management system of claim 1, wherein the management module is further configured to bind the shared-store with the regular store after the regular-store module takes the regular-store guest as the shared guest, and wherein the regular-store module can call the status of the shared guest bound thereto in real time; wherein, the liquid crystal display device comprises a liquid crystal display device,

when the sharing guest does not exit the binding with the ordinary store, the management module is used for cashing or rewarding to the ordinary store according to a preset proportion when the sharing guest consumes at the sharing store each time;

when the sharing guest exits the binding with the ordinary store, the management module is configured to release the cashback or rewards for the ordinary store.

8. The shared-gate store management system of claim 7, wherein the management module is further configured to proportionally return or reward to the common gate store based on an amount, number of people, number of times, etc. of any one or more of the following activities that the sharing guest used in the shared gate store, including coupons, points, returns, discounts, gifts, membership, sweepers, exemptions, seconds, packages, group purchases, specials, price increases, half-prices, buy gifts, offers, etc., when the sharing guest even exits the binding with the common gate store after the sharing guest has acquired or acquired any one or more of the following activities in the common gate store.

9. The shared store management system of claim 1, wherein the management module is further configured to count online time and expense amounts of the sharing guests to rank the sharing guests and push any one or more of the following activities for the sharing guests based on the sharing guests' rank: coupon, point, cashback, discount, gift, member, lottery, exempt, second kill, package, group purchase, special price, price added purchase, half price, buy gift, and offer.

10. A method of shared store management, comprising:

determining a shared store and an ordinary store that displays services or goods of the shared store on-line;

when a user consumes the service or commodity of the shared store, acquiring information of an order to be consumed of the user, and determining the identity of the user and the position information of the shared store;

when the user consumes in a shared store, acquiring real-time consumption order information of the user in the shared store, and comparing the real-time consumption order information with the to-be-consumed order information:

if the real-time consumption order information is consistent with the comparison result of the to-be-consumed order information, generating to-be-returned commission data;

If the comparison result of the real-time consumption order information and the to-be-consumed order information is inconsistent, acquiring a motion trail of the user:

when the positions of the common store and the shared store exist in the motion trail of the user at the same time, generating data to be commissioned;

when the position of the common store exists in the motion trail of the user and the position of the shared store does not exist, acquiring the motion trail of the user once every interval preset time length, and generating data to be returned when judging that the position of the common store and the position of the shared store exist in the motion trail simultaneously;

and issuing commissions to the ordinary store according to the commission returning data.

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