CN116523537A - Store merchant management system and method based on SAAS platform - Google Patents

Abstract

The invention provides a store merchant management system and method based on an SAAS platform, which comprises the following steps: the information analysis module analyzes the received merchant information to obtain merchant data; transmitting the merchant data to a merchant data statistics module, wherein the merchant data statistics module carries out statistics classification on parameters in the merchant data; the classified data are transmitted to a data calculation module, and the data calculation module receives the classified data to acquire the evaluation parameters of the commercial tenant; the server receives the merchant evaluation parameters and controls the merchant management module to receive the merchant evaluation parameters for merchant management breaking.

Description

Store merchant management system and method based on SAAS platform

Technical Field

The invention relates to the technical field of store merchant management, in particular to a store merchant management system and method based on an SAAS platform.

Background

The SaaS platform means software as a service, that is, provides a software service through a network. The SaaS platform provider uniformly deploys the application software on a server of the SaaS platform provider, a customer can order required application software services to a manufacturer through the Internet according to actual demands of work, pay fees to the manufacturer according to the number and time of the ordered services, obtain the services provided by the SaaS platform provider through the Internet, and manage the services based on the SaaS platform in the store merchant management process.

In the prior art, in the process of managing store merchants, feedback management is carried out according to the sales and sanitary conditions of the store merchants, effective management evaluation cannot be carried out based on merchant information in the process of management, effective rectification is carried out on the merchants, and in the process of joining the merchants, a certain joining fee is usually delivered, so that the joining of the merchants can be carried out, the joining of the merchants is flooded, and in addition, the joining personnel cannot be provided with effective advice because of poor joining address selection, the joining of the merchants is caused in the later process, and the brand image of the merchants is influenced.

Disclosure of Invention

Aiming at the defects of the prior art, the invention aims to provide a store merchant management system and method based on an SAAS platform.

In order to achieve the above object, the present invention is realized by the following technical scheme: the store merchant management system based on the SAAS platform comprises a merchant information acquisition module, an information analysis module, a merchant data statistics module, a data calculation module, a merchant reminding module, a merchant management module and a server; the merchant information acquisition module, the information analysis module, the merchant data statistics module, the data calculation module, the merchant reminding module and the merchant management module are respectively connected with the server;

The information analysis module analyzes the received merchant information to obtain merchant data;

transmitting the merchant data to a merchant data statistics module, wherein the merchant data statistics module performs statistics classification on parameters in the merchant data;

the classified data are transmitted to a data calculation module, and the data calculation module receives the classified data to acquire the evaluation parameters of the commercial tenant;

and the server receives the merchant evaluation parameters and controls the merchant reminding module to remind the corresponding store of the merchant, and the merchant management module receives the merchant evaluation parameters and carries out merchant management.

Further, the merchant information includes merchant affiliation information, merchant evaluation information, merchant monthly revenue information, and advertisement investment information;

the information analysis module is used for analyzing the federation information of the merchant, and specifically comprises the following steps:

acquiring the total number of merchants, acquiring the number of the allied merchants of each merchant based on the number of the merchants, and setting a first merchant grade, a second merchant grade and a third merchant grade according to the number of the allied merchants.

Acquiring the number of merchants in the first merchant level, the number of merchants in the second merchant level and the number of merchants in the third merchant level, acquiring the number of merchants in each level and the number of allied merchants of each merchant in the level, and based on different levels, respectively obtaining different allied fees and income fees when the merchants are allied;

when the merchants in the first merchant level are subjected to the merchant joining, the joining cost is as follows: a1; every T time period is because the allied benefits are: b1; the number of allowed merchant affiliations by the first merchant in the T time period is as follows: k1; the actual allied population is: k11;

when the merchants in the second merchant level are subjected to the merchant joining, the joining cost is as follows: a2; every T time period is because the allied benefits are: b2; the number of allowed merchant affiliations by the second merchant in the T time period is as follows: k2; the actual allied population is: k21;

when the merchants in the third merchant level are subjected to the merchant joining, the joining cost is as follows: a3; every T time period is because the allied benefits are: b3; the number of allowed merchant affiliations by the third merchant in the T time period is as follows: k3; the actual allied population is: K31.

further, in the process of joining, position information and investment information of a joining store are acquired, personal information is authorized by a person to be joined to acquire the joining person information, the acquired information is analyzed to generate investment advice information, and the specific analysis is as follows:

Acquiring the allied people flow according to the position information, acquiring the distance information of nearby allied stores of the same kind and the people flow information in a week, acquiring a people flow average value in one day, and calculating the ratio of the number of purchases based on the people flow average value;

acquiring the number and price information of the sold products of the allied storefront, acquiring the cost information of the sold products, acquiring the average price value of the product benefits, and acquiring the business benefit value of the product based on the average price value of the product benefits, the flow of allied persons and the ratio of the number of people to the number of purchases;

acquiring alliance fees, investment equipment fees and position rent fees according to the investment information; acquiring the return reference days based on business income value and investment information;

acquiring distance information of the similar allied stores, acquiring a distance value based on the distance information, and judging that the sales of the similar allied stores are not affected when the similar allied stores are sold if the distance value is larger than Qkm; solving the number of days of returning the reference;

acquiring distance information of the similar allied stores, acquiring a distance value based on the distance information, and judging that the sales of the similar allied stores are influenced when the similar allied stores are sold if the distance value is smaller than Qkm; the number of days for returning the books was calculated:

If the number of days for returning the reference is more than 356 days, the method is not suitable for the alliance suggestion to the alliance personnel, and has less operation profits and larger risk;

if the number of days for returning the reference is between [200,356] days, providing a recommendation for the alliance personnel to carry out the alliance, wherein the operation profits are common;

if the number of days for returning the reference is less than 200 days, the recommendation suitable for the alliance is provided for alliance personnel, the operation profits are considerable, and the risk coefficient is low.

Further, the information analysis module is used for analyzing the merchant evaluation information, and specifically comprises the following steps:

the information analysis module acquires the evaluation information of each merchant, and acquires evaluation time, picture information and merchant evaluation information according to the evaluation information of each merchant;

the review information is a similarity grade formed according to the picture information, and comprises a first similarity grade, a second similarity grade and a third similarity grade;

acquiring all evaluation information in the T time period based on the evaluation time, acquiring the total evaluation number and the total difference evaluation number, and acquiring the difference evaluation occupation ratio;

based on the picture information of each merchant, randomly dispatching a plurality of inspection staff to each merchant in a T time period to inspect the merchants one by one in different time periods, shooting a plurality of groups of inspection pictures in the spot inspection process, comparing the inspection pictures with the picture information, judging the similarity by the plurality of spot inspection staff, judging the compared similarity level, and selecting the similarity level with the largest number of judgment people as a judgment result; and acquiring the evaluation parameters according to the judgment result, and acquiring the evaluation parameters based on the assignment information of each similarity level and the acquired difference evaluation occupation ratio.

Further, when the information analysis module analyzes the monthly income information and the advertisement input information of the merchant, the information analysis module specifically comprises the following steps:

the data analysis module receives monthly revenue information of merchants, acquires monthly business revenue values of the merchants and investment costs of the merchants based on the revenue information, arranges the investment costs in a sequence from small to large, correspondingly arranges the monthly business revenue values according to the investment costs, observes change information of the monthly business revenue values, judges that each merchant is stable if the monthly business revenue values become larger gradually, acquires advertisement input information if the monthly business revenue values with large investment costs are smaller than the monthly business revenue values with small investment costs, and acquires advertisement input cost, preferential information, advertisement input mode and advertisement input time point in the advertisement input information;

acquiring advertisement investment cost, observing the change of the investment cost, judging that the advertisement strength is smaller if the merchant advertisement investment cost with large investment cost is smaller than the merchant advertisement investment cost with smaller investment cost, increasing the advertisement investment, acquiring and analyzing an advertisement investment mode and an advertisement investment time point if the merchant advertisement investment cost with large investment cost is larger than the merchant advertisement investment cost with smaller investment cost, and observing the merchant advertisement investment mode and the advertisement investment time point with large investment cost, and distinguishing the merchant advertisement investment mode and the advertisement investment time point with small investment cost; changing the advertisement input mode and the advertisement input time point based on the distinguishing characteristics; if the input mode and the advertisement input time point are the same, acquiring the preferential information, acquiring the preferential force of two merchants, and changing the selling mode of the merchants based on the preferential force;

The information analysis module defines information obtained by analysis of the merchant alliance information, the merchant evaluation information, the merchant monthly income information and the advertisement investment information as merchant data, and transmits the merchant data to the merchant data statistics module.

Further, the merchant data statistics module receives merchant grades in the merchant alliance information to carry out statistics classification, classifies the merchant grades based on each grade, carries out statistics on the allied merchant number, allied income, allied cost, allied population, investment advice information, evaluation parameters and merchant monthly income information of each merchant in each grade after classification is finished, and makes a grade classification table after the statistics is finished, and the merchant data of each merchant can be clearly observed according to the grade classification table;

the data calculation module acquires classification data in the class classification table, and acquires the allied benefit parameters based on the allied merchant number, allied benefit, allied cost and allied person number of each merchant in each class during the acquisition

Acquiring the total amount of income in the T time period according to the acquired allied income parameter and the monthly income information of the merchant;

acquiring merchant evaluation parameters according to the acquired total amount of the income in combination with investment advice information and evaluation parameters, acquiring investment advice of merchants according to the investment advice information, and acquiring the actual advice information number of each merchant;

And acquiring a plurality of merchant evaluation parameters according to a plurality of merchants, arranging the plurality of merchant parameters in a sequence from small to large, and setting a first evaluation threshold, a second evaluation threshold and a third evaluation threshold according to the sequence of the arrangement parameters.

Further, in the case of merchant management, the method specifically comprises the following steps:

and if the evaluation parameter of the commercial tenant is in the first evaluation threshold range, the server controls the commercial tenant reminding module to refurbish the commercial tenant, and if the evaluation parameter of the commercial tenant is in the second threshold range, the server controls the commercial tenant reminding module to remind and improve the commercial tenant, and if the evaluation parameter of the commercial tenant is in the third threshold range, the commercial tenant is qualified corresponding to the store.

The store merchant management method based on the SAAS platform comprises the following steps:

step S1: acquiring merchant information generated in a merchant business process, analyzing based on the received merchant information, and acquiring allied data, evaluation data, expense data and advertisement data in the merchant information; the federation data, the evaluation data, the fee data, and the advertisement data are defined as merchant data;

step S2: carrying out statistical classification on parameters in the merchant data to generate a grade classification table, carrying out data calculation based on the grade classification table, and calculating to obtain merchant evaluation parameters;

Step S3: the method comprises the steps of receiving a merchant evaluation parameter to remind a corresponding store of a merchant, and receiving the merchant evaluation parameter by a merchant management module to manage the merchant;

step S4: and if the evaluation parameter of the commercial tenant is in the first evaluation threshold range, the server controls the commercial tenant reminding module to refurbish the commercial tenant, and if the evaluation parameter of the commercial tenant is in the second threshold range, the server controls the commercial tenant reminding module to remind and improve the commercial tenant, and if the evaluation parameter of the commercial tenant is in the third threshold range, the commercial tenant is qualified corresponding to the store.

Further, in the step S1, when analyzing the information, specific steps are as follows;

step S11: acquiring the total number of merchants, acquiring the number of the allied merchants of each merchant based on the number of the merchants, and setting a first merchant grade, a second merchant grade and a third merchant grade according to the number of the allied merchants.

Step S12: acquiring the number of merchants in the first merchant level, the number of merchants in the second merchant level and the number of merchants in the third merchant level, acquiring the number of merchants in each level and the number of allied merchants of each merchant in the level, and based on different levels, respectively obtaining different allied fees and income fees when the merchants are allied;

Step S13: acquiring position information and investment information of a member store in the member adding process, acquiring member information by authorizing personal information by members to be joined, and analyzing the acquired information to generate investment advice information;

step S14: acquiring evaluation time, picture information and merchant evaluation information according to the merchant evaluation information; acquiring all evaluation information in the T time period based on the evaluation time, acquiring the total evaluation number and the total difference evaluation number, and acquiring the difference evaluation occupation ratio;

step S15: based on the picture information of each merchant, randomly dispatching a plurality of inspection staff to each merchant in a T time period to inspect the merchants one by one in different time periods, shooting a plurality of groups of inspection pictures in the spot inspection process, comparing the inspection pictures with the picture information, judging the similarity by the plurality of spot inspection staff, judging the compared similarity level, and selecting the similarity level with the largest number of judgment people as a judgment result; acquiring evaluation parameters according to the judgment result, and acquiring the evaluation parameters based on the assignment information of each similarity level and the acquired difference evaluation occupation ratio;

step S16: the data analysis module receives monthly revenue information of the merchant and acquires business revenue values of the merchant monthly based on the revenue information;

In the step S13, when generating the investment advice information, specific steps are as follows:

step S131: acquiring the allied people flow according to the position information, acquiring the distance information of nearby allied stores of the same kind and the people flow information in a week, acquiring a people flow average value in one day, and calculating the ratio of the number of purchases based on the people flow average value;

step S132: acquiring the number and price information of the sold products of the allied storefront, acquiring the cost information of the sold products, acquiring the average price value of the product benefits, and acquiring the business benefit value of the product based on the average price value of the product benefits, the flow of allied persons and the ratio of the number of people to the number of purchases;

step S133: acquiring alliance fees, investment equipment fees and position rent fees according to the investment information; acquiring the return reference days based on business income values and investment information, if the return reference days are more than 356, making a recommendation to the allied personnel that the allied personnel are not suitable for alliance, wherein the business income is less and the risk is greater;

step S134: if the number of days for returning the reference is between [200,356], a proposal for carrying out the alliance is provided for alliance personnel, and the operation profit is general; if the number of days for returning the reference is less than 200, the recommendation suitable for the alliance is provided for alliance personnel, the operation profits are considerable, and the risk coefficient is low.

Further, in the step S2, when the merchant evaluation parameter is acquired, the specific steps are as follows:

step S21: the data calculation module acquires classification data in the class classification table, and acquires the allied benefit parameters based on the allied merchant number, allied benefit, allied cost and allied person number of each merchant in each class when acquiring the classification data;

step S22: acquiring the total amount of income in the T time period according to the acquired allied income parameter and the monthly income information of the merchant;

step S23: acquiring merchant evaluation parameters according to the acquired total amount of the income in combination with investment advice information and evaluation parameters, acquiring investment advice of merchants according to the investment advice information, and acquiring the actual advice information number of each merchant;

step S24: and acquiring a plurality of merchant evaluation parameters according to a plurality of merchants, arranging the plurality of merchant parameters in a sequence from small to large, and setting a first evaluation threshold, a second evaluation threshold and a third evaluation threshold according to the sequence of the arrangement parameters.

The invention has the beneficial effects that:

1. the method and the system are based on analysis of merchant information in the business process of the merchants, classification of the merchants is carried out according to the number of the allied merchants, acquisition of allied store information of allied personnel is carried out in the allied process, and appropriate investment advice information is generated for advice, and the allied personnel carry out allied or give up allied according to the investment advice information, so that the allied personnel can carry out prediction reference on later-stage earnings based on the acquired information before allied.

2. According to the invention, after classification is completed, the merchant data obtained by the analysis of the merchant information is counted, analysis and calculation are carried out based on the statistical data information, the merchant evaluation parameters are obtained, the evaluation threshold is generated according to the merchant evaluation parameters, and the merchant management is carried out according to the evaluation parameter threshold range.

Drawings

Other features, objects and advantages of the present invention will become more apparent upon reading of the detailed description of non-limiting embodiments, given with reference to the accompanying drawings in which:

FIG. 1 is a schematic block diagram of a store merchant management system based on an SAAS platform of the present invention;

fig. 2 is a method step diagram of a store merchant management method based on an SAAS platform according to the present invention.

Detailed Description

The invention is further described in connection with the following detailed description, in order to make the technical means, the creation characteristics, the achievement of the purpose and the effect of the invention easy to understand.

In the invention, referring to fig. 1 and 2, a store merchant management system based on an SAAS platform, a test system comprises a merchant information acquisition module, an information analysis module, a merchant data statistics module, a data calculation module, a merchant reminding module, a merchant management module and a server; the system comprises a merchant information acquisition module, an information analysis module, a merchant data statistics module, a data calculation module, a merchant reminding module and a merchant management module which are respectively connected with a server;

The information analysis module analyzes the received merchant information and acquires the allied data, the evaluation data, the cost data and the advertisement data in the merchant information; the federation data, the evaluation data, the fee data, and the advertisement data are defined as merchant data;

the merchant information comprises merchant alliance information, merchant evaluation information, merchant monthly income information and advertisement input information;

the information analysis module is used for analyzing the merchant alliance information, and specifically comprises the following steps:

acquiring the total number of merchants, acquiring the number of the allied merchants of each merchant based on the number of the merchants, and setting a first merchant grade, a second merchant grade and a third merchant grade according to the number of the allied merchants.

Acquiring the number of merchants in the first merchant level, the number of merchants in the second merchant level and the number of merchants in the third merchant level, acquiring the number of merchants in each level and the number of allied merchants of each merchant in the level, and based on different levels, respectively obtaining different allied fees and income fees when the merchants are allied;

When the merchants in the first merchant level are subjected to the merchant joining, the joining cost is as follows: a1; every T time period is because the allied benefits are: b1; the number of allowed merchant affiliations by the first merchant in the T time period is as follows: k1; the actual allied population is: k11;

when the merchants in the second merchant level are subjected to the merchant joining, the joining cost is as follows: a2; every T time period is because the allied benefits are: b2; the number of allowed merchant affiliations by the second merchant in the T time period is as follows: k2; the actual allied population is: k21;

when the merchants in the third merchant level are subjected to the merchant joining, the joining cost is as follows: a3; every T time period is because the allied benefits are: b3; the number of allowed merchant affiliations by the third merchant in the T time period is as follows: k3; the actual allied population is: k31;

according to the number of the allowed commercial tenant alliances for the commercial tenant, the commercial tenant is prevented from being flooded with the alliance to influence the brand image of the commercial tenant in the process of the commercial tenant alliance;

wherein: a1 > a2 > a3; b1 > b2 > b3; k1 > k2 > k3;

in the process of joining, position information and investment information of a joining store are acquired, personal information is authorized by a person to be joined to acquire the information of the joining person, and the acquired information is analyzed to generate investment advice information, wherein the specific analysis is as follows:

Acquiring the allied people flow according to the position information, acquiring the distance information of nearby allied stores of the same kind and the people flow information in a week, acquiring a people flow average value in one day, and calculating the ratio of the number of purchases based on the people flow average value;

when the ratio of the number of the purchased people is calculated, the specific steps are as follows:

counting people stream values in a week of the allied store in the week according to people stream information in the week, acquiring the purchase times in the week based on the people stream values, and setting the people stream values as follows: RLSZ; the number of purchases is: GMCS; the ratio of the number of buyers is: GMRSZBL;

then；

Acquiring the number and price information of the sold products of the allied storefront, acquiring the cost information of the sold products, acquiring the average price value of the product benefits, and acquiring the business benefit value of the product based on the average price value of the product benefits, the flow of allied persons and the ratio of the number of people to the number of purchases;

wherein, when obtaining the average price value of the income, the method specifically comprises the following steps:

the product quantity value is set as follows: CPSL; the method comprises the steps of obtaining the marked price of each sold product based on price information, summing the marked prices to obtain a marked total value, obtaining the cost value of each product based on cost information, summing the cost values of each product to obtain a cost total value, wherein the marked total value is as follows: BZZZ; the total cost value is: CNZZ; revenue average price value: SYPJJGSZ;

Then；

When the business income is acquired, the method specifically comprises the following steps:

setting business income value as follows: YYSYZ; the federation traffic is: JMRLL;

yysyz=sypjjgsz×jmrll×gmrszbl;

acquiring alliance fees, investment equipment fees and position rent fees according to the investment information; acquiring the return reference days based on business income value and investment information, and setting the return reference days as follows: HBCKTS; the alliance cost is as follows: JMFY; the investment equipment cost is as follows: TZSBFY; the position rent cost is: WZZJFY;

acquiring distance information of the similar allied stores, acquiring a distance value based on the distance information, and judging that the sales of the similar allied stores are not affected when the similar allied stores are sold if the distance value is larger than Qkm; the reference days for the return are specifically as follows:

then:；

acquiring distance information of the similar allied stores, acquiring a distance value based on the distance information, and judging that the sales of the similar allied stores are influenced when the similar allied stores are sold if the distance value is smaller than Qkm; the reference days for the return are specifically as follows:

then:；

if the HBCKTS is more than 356, the method is not suitable for alliance suggestion to alliance personnel, and has less operation profits and larger risk;

if the HBCKTS is between [200,356], the proposal of the alliance can be made to alliance personnel, and the operation profit is general;

If the HBCKTS is smaller than 200, providing a recommendation suitable for the alliance to alliance personnel, wherein the service profit is considerable, and the risk coefficient is low;

in addition, Q is a positive number, and when the value is taken, the value is 1, 1.5 or 2 according to road condition information, etc., the flow of the allied person is a one-day people flow average value at the allied place, the value is obtained according to the people flow value in the week of the allied place, and the one-day people flow average value in one day is obtained;

the information analysis module is used for analyzing the evaluation information of the commercial tenant, and specifically comprises the following steps:

the information analysis module acquires the evaluation information of each merchant, and acquires evaluation time, picture information and merchant evaluation information according to the evaluation information of each merchant;

the review information is a similarity grade formed according to the picture information, and comprises a first similarity grade, a second similarity grade and a third similarity grade, and w1, w2 and w3 are respectively assigned based on each similarity grade; and w1 is more than w2 and less than w3;

acquiring all evaluation information in the T time period based on the evaluation time, acquiring the total evaluation number and the total difference evaluation number, and acquiring the difference evaluation occupation ratio;

the difference evaluation ratio is calculated as follows:

the total number of evaluation was set as: PJZS; the total number of differences was: CPZS; the difference evaluation ratio is as follows: CPZBZ;

CPZBZ=CPZS/PJZS；

Based on the picture information of each merchant, randomly dispatching a plurality of inspection staff to each merchant in a T time period to inspect the merchants one by one in different time periods, shooting a plurality of groups of inspection pictures in the spot inspection process, comparing the inspection pictures with the picture information, judging the similarity by the plurality of spot inspection staff, judging the compared similarity level, and selecting the similarity level with the largest number of judgment people as a judgment result; and acquiring the evaluation parameters according to the judgment result, acquiring the evaluation parameters based on the assignment information of each similarity level and the acquired difference evaluation occupation ratio, and setting the evaluation parameters as follows: PJCS; the similarity rating is: XSDJ; pjcs=xsdj/CPZBZ; when the method is used for solving, replacing XSDJ with w1, w2 or w3 according to the corresponding similarity level, and substituting the XSDJ into the solution;

wherein: the business picture information is standard sanitary pictures of a plurality of businesses in the business process, wherein the standard sanitary pictures comprise business pictures, cleaning pictures and placing pictures;

when the information analysis module analyzes the monthly income information of the commercial tenant and the advertisement input information, the information analysis module specifically comprises the following steps:

the data analysis module receives monthly revenue information of merchants, acquires monthly business revenue values of the merchants and investment costs of the merchants based on the revenue information, arranges the investment costs in a sequence from small to large, correspondingly arranges the monthly business revenue values according to the investment costs, observes change information of the monthly business revenue values, judges that each merchant is stable if the monthly business revenue values become larger gradually, acquires advertisement input information if the monthly business revenue values with large investment costs are smaller than the monthly business revenue values with small investment costs, and acquires advertisement input cost, preferential information, advertisement input mode and advertisement input time point in the advertisement input information;

Acquiring advertisement investment cost, observing the change of the investment cost, judging that the advertisement strength is smaller if the merchant advertisement investment cost with large investment cost is smaller than the merchant advertisement investment cost with smaller investment cost, increasing the advertisement investment, acquiring and analyzing an advertisement investment mode and an advertisement investment time point if the merchant advertisement investment cost with large investment cost is larger than the merchant advertisement investment cost with smaller investment cost, and observing the merchant advertisement investment mode and the advertisement investment time point with large investment cost, and distinguishing the merchant advertisement investment mode and the advertisement investment time point with small investment cost; changing the advertisement input mode and the advertisement input time point based on the distinguishing characteristics; if the input mode and the advertisement input time point are the same, acquiring the preferential information, acquiring the preferential force of two merchants, and changing the selling mode of the merchants based on the preferential force;

the information analysis module defines information obtained by analysis of the merchant alliance information, the merchant evaluation information, the merchant monthly income information and the advertisement investment information as merchant data, and transmits the merchant data to the merchant data statistics module;

the input mode comprises the following steps: network advertisements, leaflet advertisements, and television advertisements;

Transmitting the merchant data to a merchant data statistics module, wherein the merchant data statistics module carries out statistics classification on parameters in the merchant data;

the merchant data statistics module receives merchant grades in the merchant alliance information to carry out statistics classification, classifies the merchant grades based on each grade, carries out statistics on the allied merchant number, allied income, allied cost, allied population, investment suggestion information, evaluation parameters and merchant monthly income information of each merchant in each grade after classification is completed, and makes a grade classification table after the statistics is completed, and the merchant data of each merchant can be clearly observed according to the grade classification table;

the classified data are transmitted to a data calculation module, and the data calculation module receives the classified data to acquire the evaluation parameters of the commercial tenant;

the data calculation module acquires classification data in the class classification table, acquires the allied benefit parameters based on the number of allied merchants, allied benefit, allied cost and allied number of each merchant in each class, and sets the allied benefit parameters as follows: JMSYCS; the merchant level is set as follows: SHDJ; the alliance benefits are: JMSY; the allied population is: k, performing K; the alliance cost is as follows: a, a;

Jmsycs=a+k×jmsy;

in the specific calculation, if SHDJ is the first merchant level, a is replaced with a1, JMSY is replaced with b1, and k is replaced with k11, and the specific calculation is performed by substitution, which is specifically as follows:

JMSYCS=a1+k11×b1；

in the specific determination, if SHDJ is the second merchant level, a is replaced with a2, JMSY is replaced with b2, and k is replaced with k21, and the specific determination is performed by substitution, which is as follows:

JMSYCS=a2+k21×b2；

in the specific calculation, if SHDJ is the third merchant level, a is substituted for a3, JMSY is substituted for b3, and k is substituted for k31, which is specifically as follows:

JMSYCS=a3+k31×b3；

acquiring the total amount of the income in the T time period according to the acquired allied income parameter and the monthly income information of the merchant, and setting the total amount of the income as follows: SYZL; the monthly revenue information of the merchant is: MYSYXX;

then syzl=jmsycs+mysyxx;

acquiring merchant evaluation parameters according to the acquired total amount of the income in combination with investment advice information and evaluation parameters, acquiring the actual advice information number of each merchant according to the investment advice of the merchant acquired by the investment advice information, taking the investment advice as the merchant evaluation parameters, wherein the investment advice affects the self-help interests of the allied merchants, and when the parameters are substituted into the evaluation, the specific gravity value is larger, and the actual advice information number is set as follows: sjJYxx; the evaluation parameters of the commercial tenant are as follows: SHPJCS; the evaluation parameters are as follows: PJCS;

Then；

Wherein K is more than 0, K is a balance coefficient and is used for balancing the numerical value of the evaluation parameter of the commercial tenant, so that comparison is convenient;

acquiring a plurality of merchant evaluation parameters according to a plurality of merchants, arranging the plurality of merchant parameters in a sequence from small to large, and setting a first evaluation threshold, a second evaluation threshold and a third evaluation threshold according to the sequence of the arrangement parameters;

the server receives the merchant evaluation parameters and controls the merchant reminding module to remind the corresponding store of the merchant, and the merchant management module receives the merchant evaluation parameters and carries out merchant management.

When the merchant management is carried out, the method specifically comprises the following steps:

and if the evaluation parameter of the commercial tenant is in the first evaluation threshold range, the server controls the commercial tenant reminding module to refurbish the commercial tenant, and if the evaluation parameter of the commercial tenant is in the second threshold range, the server controls the commercial tenant reminding module to remind and improve the commercial tenant, and if the evaluation parameter of the commercial tenant is in the third threshold range, the commercial tenant is qualified corresponding to the store.

In the invention, a store merchant management method based on an SAAS platform comprises the following steps:

step S1: acquiring merchant information generated in a merchant business process, analyzing based on the received merchant information, and acquiring allied data, evaluation data, expense data and advertisement data in the merchant information; the federation data, the evaluation data, the fee data, and the advertisement data are defined as merchant data;

When the information is analyzed, the specific steps are as follows;

step S11: acquiring the total number of merchants, acquiring the number of the allied merchants of each merchant based on the number of the merchants, and setting a first merchant grade, a second merchant grade and a third merchant grade according to the number of the allied merchants.

Step S12: acquiring the number of merchants in the first merchant level, the number of merchants in the second merchant level and the number of merchants in the third merchant level, acquiring the number of merchants in each level and the number of allied merchants of each merchant in the level, and based on different levels, respectively obtaining different allied fees and income fees when the merchants are allied;

step S13: acquiring position information and investment information of a member store in the member adding process, acquiring member information by authorizing personal information by members to be joined, and analyzing the acquired information to generate investment advice information;

when generating the investment advice information, the specific steps are as follows:

step S131: acquiring the allied people flow according to the position information, acquiring the distance information of nearby allied stores of the same kind and the people flow information in a week, acquiring a people flow average value in one day, and calculating the ratio of the number of purchases based on the people flow average value;

Step S132: acquiring the number and price information of the sold products of the allied storefront, acquiring the cost information of the sold products, acquiring the average price value of the product benefits, and acquiring the business benefit value of the product based on the average price value of the product benefits, the flow of allied persons and the ratio of the number of people to the number of purchases;

step S133: acquiring alliance fees, investment equipment fees and position rent fees according to the investment information; acquiring the return reference days based on business income values and investment information, if the return reference days are more than 356 days, providing a joining suggestion which is not suitable for joining to joining staff, wherein the business income is less and the risk is greater;

step S134: if the number of days for returning the reference is between [200,356], a proposal for carrying out the alliance is provided for alliance personnel, and the operation profit is general; if the number of days for returning the reference is less than 200, providing a recommendation suitable for the alliance to alliance personnel, wherein the service profits are considerable, and the risk coefficient is low;

step S14: acquiring evaluation time, picture information and merchant evaluation information according to the merchant evaluation information; acquiring all evaluation information in the T time period based on the evaluation time, acquiring the total evaluation number and the total difference evaluation number, and acquiring the difference evaluation occupation ratio;

Step S15: based on the picture information of each merchant, randomly dispatching a plurality of inspection staff to each merchant in a T time period to inspect the merchants one by one in different time periods, shooting a plurality of groups of inspection pictures in the spot inspection process, comparing the inspection pictures with the picture information, judging the similarity by the plurality of spot inspection staff, judging the compared similarity level, and selecting the similarity level with the largest number of judgment people as a judgment result; acquiring evaluation parameters according to the judgment result, and acquiring the evaluation parameters based on the assignment information of each similarity level and the acquired difference evaluation occupation ratio;

step S16: the data analysis module receives monthly revenue information of the merchant and acquires business revenue values of the merchant monthly based on the revenue information;

step S2: carrying out statistical classification on parameters in the merchant data to generate a grade classification table, carrying out data calculation based on the grade classification table, and calculating to obtain merchant evaluation parameters;

when the evaluation parameters of the commercial tenant are acquired, the specific steps are as follows:

step S21: the data calculation module acquires classification data in the class classification table, and acquires the allied benefit parameters based on the allied merchant number, allied benefit, allied cost and allied person number of each merchant in each class when acquiring the classification data;

Step S22: acquiring the total amount of income in the T time period according to the acquired allied income parameter and the monthly income information of the merchant;

step S23: acquiring merchant evaluation parameters according to the acquired total amount of the income in combination with investment advice information and evaluation parameters, acquiring investment advice of merchants according to the investment advice information, and acquiring the actual advice information number of each merchant;

step S24: acquiring a plurality of merchant evaluation parameters according to a plurality of merchants, arranging the plurality of merchant parameters in a sequence from small to large, and setting a first evaluation threshold, a second evaluation threshold and a third evaluation threshold according to the sequence of the arrangement parameters;

step S3: the method comprises the steps of receiving a merchant evaluation parameter to remind a corresponding store of a merchant, and receiving the merchant evaluation parameter by a merchant management module to manage the merchant;

step S4: and if the evaluation parameter of the commercial tenant is in the first evaluation threshold range, the server controls the commercial tenant reminding module to refurbish the commercial tenant, and if the evaluation parameter of the commercial tenant is in the second threshold range, the server controls the commercial tenant reminding module to remind and improve the commercial tenant, and if the evaluation parameter of the commercial tenant is in the third threshold range, the commercial tenant is qualified corresponding to the store.

Finally, it should be noted that: the above examples are only specific embodiments of the present invention, and are not intended to limit the scope of the present invention, but it should be understood by those skilled in the art that the present invention is not limited thereto, and that the present invention is described in detail with reference to the foregoing examples: any person skilled in the art may modify or easily conceive of the technical solution described in the foregoing embodiments, or perform equivalent substitution of some of the technical features, while remaining within the technical scope of the present disclosure; such modifications, changes or substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention, and are intended to be included in the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims (10)

1. The store merchant management system based on the SAAS platform is characterized by comprising a merchant information acquisition module, an information analysis module, a merchant data statistics module, a data calculation module, a merchant reminding module, a merchant management module and a server; the merchant information acquisition module, the information analysis module, the merchant data statistics module, the data calculation module, the merchant reminding module and the merchant management module are respectively connected with the server;

the information analysis module analyzes the received merchant information to obtain merchant data;

transmitting the merchant data to a merchant data statistics module, wherein the merchant data statistics module performs statistics classification on parameters in the merchant data;

the classified data are transmitted to a data calculation module, and the data calculation module receives the classified data to acquire the evaluation parameters of the commercial tenant;

and the server receives the merchant evaluation parameters and controls the merchant reminding module to remind the corresponding store of the merchant, and the merchant management module receives the merchant evaluation parameters and carries out merchant management.

2. The SAAS platform-based store merchant management system of claim 1, wherein the merchant information comprises merchant affiliation information, merchant evaluation information, merchant monthly revenue information, and advertisement investment information;

the information analysis module is used for analyzing the federation information of the merchant, and specifically comprises the following steps:

acquiring the total number of merchants, acquiring the number of the allied merchants of each merchant based on the number of the merchants, and setting a first merchant grade, a second merchant grade and a third merchant grade according to the number of the allied merchants.

Acquiring the number of merchants in the first merchant level, the number of merchants in the second merchant level and the number of merchants in the third merchant level, acquiring the number of merchants in each level and the number of allied merchants of each merchant in the level, and based on different levels, respectively obtaining different allied fees and income fees when the merchants are allied;

when the merchants in the first merchant level are subjected to the merchant joining, the joining cost is as follows: a1; every T time period is because the allied benefits are: b1; the number of allowed merchant affiliations by the first merchant in the T time period is as follows: k1; the actual allied population is: k11;

when the merchants in the second merchant level are subjected to the merchant joining, the joining cost is as follows: a2; every T time period is because the allied benefits are: b2; the number of allowed merchant affiliations by the second merchant in the T time period is as follows: k2; the actual allied population is: k21;

When the merchants in the third merchant level are subjected to the merchant joining, the joining cost is as follows: a3; every T time period is because the allied benefits are: b3; the number of allowed merchant affiliations by the third merchant in the T time period is as follows: k3; the actual allied population is: K31.

3. the SAAS platform-based store merchant management system of claim 2, wherein the position information and the investment information of the affiliated store are acquired in the affiliated process, the affiliated person information is acquired by authorizing the personal information by the affiliated person to be affiliated, and the acquired information is analyzed to generate the investment advice information, and the specific analysis is as follows:

acquiring the allied people flow according to the position information, acquiring the distance information of nearby allied stores of the same kind and the people flow information in a week, acquiring a people flow average value in one day, and calculating the ratio of the number of purchases based on the people flow average value;

acquiring the number and price information of the sold products of the allied storefront, acquiring the cost information of the sold products, acquiring the average price value of the product benefits, and acquiring the business benefit value of the product based on the average price value of the product benefits, the flow of allied persons and the ratio of the number of people to the number of purchases;

Acquiring alliance fees, investment equipment fees and position rent fees according to the investment information; acquiring the return reference days based on business income value and investment information;

acquiring distance information of the similar allied stores, acquiring a distance value based on the distance information, and judging that the sales of the similar allied stores are not affected when the similar allied stores are sold if the distance value is larger than Qkm; solving the number of days of returning the reference;

acquiring distance information of the similar allied stores, acquiring a distance value based on the distance information, and judging that the sales of the similar allied stores are influenced when the similar allied stores are sold if the distance value is smaller than Qkm; the number of days for returning the books was calculated:

if the number of days for returning the reference is more than 356 days, the method is not suitable for the alliance suggestion to the alliance personnel, and has less operation profits and larger risk;

if the number of days for returning the reference is between [200,356] days, providing a recommendation for the alliance personnel to carry out the alliance, wherein the operation profits are common;

if the number of days for returning the reference is less than 200 days, the recommendation suitable for the alliance is provided for alliance personnel, the operation profits are considerable, and the risk coefficient is low.

4. The SAAS platform-based store merchant management system of claim 2, wherein the information analysis module is configured to analyze the merchant assessment information as follows:

The information analysis module acquires the evaluation information of each merchant, and acquires evaluation time, picture information and merchant evaluation information according to the evaluation information of each merchant;

the review information is a similarity grade formed according to the picture information, and comprises a first similarity grade, a second similarity grade and a third similarity grade;

acquiring all evaluation information in the T time period based on the evaluation time, acquiring the total evaluation number and the total difference evaluation number, and acquiring the difference evaluation occupation ratio;

based on the picture information of each merchant, randomly dispatching a plurality of inspection staff to each merchant in a T time period to inspect the merchants one by one in different time periods, shooting a plurality of groups of inspection pictures in the spot inspection process, comparing the inspection pictures with the picture information, judging the similarity by the plurality of spot inspection staff, judging the compared similarity level, and selecting the similarity level with the largest number of judgment people as a judgment result; and acquiring the evaluation parameters according to the judgment result, and acquiring the evaluation parameters based on the assignment information of each similarity level and the acquired difference evaluation occupation ratio.

5. The SAAS platform-based store merchant management system of claim 2, wherein the information analysis module is configured to analyze the monthly revenue information and the advertisement investment information of the merchant as follows:

The data analysis module receives monthly revenue information of merchants, acquires monthly business revenue values of the merchants and investment costs of the merchants based on the revenue information, arranges the investment costs in a sequence from small to large, correspondingly arranges the monthly business revenue values according to the investment costs, observes change information of the monthly business revenue values, judges that each merchant is stable if the monthly business revenue values become larger gradually, acquires advertisement input information if the monthly business revenue values with large investment costs are smaller than the monthly business revenue values with small investment costs, and acquires advertisement input cost, preferential information, advertisement input mode and advertisement input time point in the advertisement input information;

acquiring advertisement investment cost, observing the change of the investment cost, judging that the advertisement strength is smaller if the merchant advertisement investment cost with large investment cost is smaller than the merchant advertisement investment cost with smaller investment cost, increasing the advertisement investment, acquiring and analyzing an advertisement investment mode and an advertisement investment time point if the merchant advertisement investment cost with large investment cost is larger than the merchant advertisement investment cost with smaller investment cost, and observing the merchant advertisement investment mode and the advertisement investment time point with large investment cost, and distinguishing the merchant advertisement investment mode and the advertisement investment time point with small investment cost; changing the advertisement input mode and the advertisement input time point based on the distinguishing characteristics; if the input mode and the advertisement input time point are the same, acquiring the preferential information, acquiring the preferential force of two merchants, and changing the selling mode of the merchants based on the preferential force;

The information analysis module defines information obtained by analysis of the merchant alliance information, the merchant evaluation information, the merchant monthly income information and the advertisement investment information as merchant data, and transmits the merchant data to the merchant data statistics module.

6. The SAAS platform-based store merchant management system of claim 5, wherein the merchant data statistics module receives merchant classes in the merchant federation information for statistical classification, classifies based on each class, performs statistics on the number of federation merchants, the federation yields, the federation fees, the federation numbers, the investment advice information, the evaluation parameters and the merchant monthly yield information of each merchant in each class after classification is completed, creates a class classification table according to which the merchant data of each merchant can be clearly observed;

the data calculation module acquires classification data in the class classification table, and acquires the allied benefit parameters based on the allied merchant number, allied benefit, allied cost and allied person number of each merchant in each class during the acquisition

Acquiring the total amount of income in the T time period according to the acquired allied income parameter and the monthly income information of the merchant;

Acquiring merchant evaluation parameters according to the acquired total amount of the income in combination with investment advice information and evaluation parameters, acquiring investment advice of merchants according to the investment advice information, and acquiring the actual advice information number of each merchant;

and acquiring a plurality of merchant evaluation parameters according to a plurality of merchants, arranging the plurality of merchant parameters in a sequence from small to large, and setting a first evaluation threshold, a second evaluation threshold and a third evaluation threshold according to the sequence of the arrangement parameters.

7. The SAAS platform-based store merchant management system of claim 1, wherein the merchant management is performed as follows:

and if the evaluation parameter of the commercial tenant is in the first evaluation threshold range, the server controls the commercial tenant reminding module to refurbish the commercial tenant, and if the evaluation parameter of the commercial tenant is in the second threshold range, the server controls the commercial tenant reminding module to remind and improve the commercial tenant, and if the evaluation parameter of the commercial tenant is in the third threshold range, the commercial tenant is qualified corresponding to the store.

8. The store merchant management method based on the SAAS platform is applicable to the store merchant management system based on the SAAS platform as claimed in any one of claims 1 to 7, and is characterized in that the management method comprises the following steps:

Step S1: acquiring merchant information generated in a merchant business process, analyzing based on the received merchant information, and acquiring allied data, evaluation data, expense data and advertisement data in the merchant information; the federation data, the evaluation data, the fee data, and the advertisement data are defined as merchant data;

step S2: carrying out statistical classification on parameters in the merchant data to generate a grade classification table, carrying out data calculation based on the grade classification table, and calculating to obtain merchant evaluation parameters;

step S3: the method comprises the steps of receiving a merchant evaluation parameter to remind a corresponding store of a merchant, and receiving the merchant evaluation parameter by a merchant management module to manage the merchant;

step S4: and if the evaluation parameter of the commercial tenant is in the first evaluation threshold range, the server controls the commercial tenant reminding module to refurbish the commercial tenant, and if the evaluation parameter of the commercial tenant is in the second threshold range, the server controls the commercial tenant reminding module to remind and improve the commercial tenant, and if the evaluation parameter of the commercial tenant is in the third threshold range, the commercial tenant is qualified corresponding to the store.

9. The SAAS platform-based store merchant management method according to claim 8, wherein in the step S1, when analyzing information, specific steps are as follows;

Step S11: acquiring the total number of merchants, acquiring the number of the allied merchants of each merchant based on the number of the merchants, and setting a first merchant grade, a second merchant grade and a third merchant grade according to the number of the allied merchants.

Step S12: acquiring the number of merchants in the first merchant level, the number of merchants in the second merchant level and the number of merchants in the third merchant level, acquiring the number of merchants in each level and the number of allied merchants of each merchant in the level, and based on different levels, respectively obtaining different allied fees and income fees when the merchants are allied;

step S13: acquiring position information and investment information of a member store in the member adding process, acquiring member information by authorizing personal information by members to be joined, and analyzing the acquired information to generate investment advice information;

step S14: acquiring evaluation time, picture information and merchant evaluation information according to the merchant evaluation information; acquiring all evaluation information in the T time period based on the evaluation time, acquiring the total evaluation number and the total difference evaluation number, and acquiring the difference evaluation occupation ratio;

step S15: based on the picture information of each merchant, randomly dispatching a plurality of inspection staff to each merchant in a T time period to inspect the merchants one by one in different time periods, shooting a plurality of groups of inspection pictures in the spot inspection process, comparing the inspection pictures with the picture information, judging the similarity by the plurality of spot inspection staff, judging the compared similarity level, and selecting the similarity level with the largest number of judgment people as a judgment result; acquiring evaluation parameters according to the judgment result, and acquiring the evaluation parameters based on the assignment information of each similarity level and the acquired difference evaluation occupation ratio;

Step S16: the data analysis module receives monthly revenue information of the merchant and acquires business revenue values of the merchant monthly based on the revenue information;

in the step S13, when generating the investment advice information, specific steps are as follows:

step S131: acquiring the allied people flow according to the position information, acquiring the distance information of nearby allied stores of the same kind and the people flow information in a week, acquiring a people flow average value in one day, and calculating the ratio of the number of purchases based on the people flow average value;

step S132: acquiring the number and price information of the sold products of the allied storefront, acquiring the cost information of the sold products, acquiring the average price value of the product benefits, and acquiring the business benefit value of the product based on the average price value of the product benefits, the flow of allied persons and the ratio of the number of people to the number of purchases;

step S133: acquiring alliance fees, investment equipment fees and position rent fees according to the investment information; acquiring the return reference days based on business income values and investment information, if the return reference days are more than 356, making a recommendation to the allied personnel that the allied personnel are not suitable for alliance, wherein the business income is less and the risk is greater;

Step S134: if the number of days for returning the reference is between [200,356], a proposal for carrying out the alliance is provided for alliance personnel, and the operation profit is general; if the number of days for returning the reference is less than 200, the recommendation suitable for the alliance is provided for alliance personnel, the operation profits are considerable, and the risk coefficient is low.

10. The SAAS platform-based store merchant management method according to claim 8, wherein in step S2, when acquiring the merchant evaluation parameter, the specific steps are as follows:

step S21: the data calculation module acquires classification data in the class classification table, and acquires the allied benefit parameters based on the allied merchant number, allied benefit, allied cost and allied person number of each merchant in each class when acquiring the classification data;

step S22: acquiring the total amount of income in the T time period according to the acquired allied income parameter and the monthly income information of the merchant;

step S23: acquiring merchant evaluation parameters according to the acquired total amount of the income in combination with investment advice information and evaluation parameters, acquiring investment advice of merchants according to the investment advice information, and acquiring the actual advice information number of each merchant;

step S24: and acquiring a plurality of merchant evaluation parameters according to a plurality of merchants, arranging the plurality of merchant parameters in a sequence from small to large, and setting a first evaluation threshold, a second evaluation threshold and a third evaluation threshold according to the sequence of the arrangement parameters.