CN113850537A - Multi-state mixed operation data management system - Google Patents
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Abstract
The invention discloses a multi-state mixed operation data management system, which belongs to the field of operation and is used for solving the problems that the same type of operation terminals do not differentiate the operation authority according to operation data and sales data and the operation scheduling work is disordered, and comprises an authority setting module, a balance scheduling module, an operation analysis module and a regional division module, wherein the operation analysis module is used for analyzing the operation condition of the same type of products of the sales terminals, the regional division module is used for regionally dividing the sales range of the same type of products, the authority setting module is used for setting the product authority of an operation monitoring region, the balance scheduling module is used for performing balance scheduling on the sales terminals of the same type of products, the invention classifies the same type of operation terminals according to the operation data and the sales data and sets the operation authority of the operation terminals by combining with the grade differentiation, meanwhile, the balanced dispatching among the same type of operation terminals can be realized according to the actual sale condition.
Description
Technical Field
The invention belongs to the field of operation, relates to a data management technology, and particularly relates to a multi-state mixed operation data management system.
Background
The operation has the meanings of planning, conspiracy, planning, organizing, governing, managing and the like. Compared with management, the management-side stress indicates dynamic connotation of development, and the management-side stress indicates normal and reasonable operation. The operation and management are called operation management.
In the prior art, data integration and resource integration are generally performed during multi-state mixed operation, the operation authorities of the same type of operation terminals are uniformly set, the operation terminals are not graded according to data such as operation data and sales data, and the operation authorities of the operation terminals are differentiated according to grades; meanwhile, the operation scheduling work is disordered and balanced scheduling is not carried out in combination with actual sales conditions, and therefore a multi-state mixed operation data management system is provided.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide a multi-state mixed operation data management system.
The technical problem to be solved by the invention is as follows:
(1) how to grade the same type of operation terminals according to the operation data and the sales data and how to differentiate the operation authority of the operation terminals according to the grade;
(2) how to combine the actual sale situation to realize the balanced scheduling among the same type of operation terminals.
The purpose of the invention can be realized by the following technical scheme:
a multi-state mixed operation data management system comprises a plurality of sales terminals, an authority setting module, a balance scheduling module, an operation analysis module, a region division module, a data acquisition module and a server, wherein the sales terminals are used for inputting product models and sales data and sending the product types and the sales data to the server, the server marks the sales data and combines the product types into a sales data packet to be sent to the operation analysis module, the operation analysis module is used for analyzing the operation conditions of the same type of products of the sales terminals, analyzing the operation values JYu of the same type of products of the sales terminals, and sending the operation values to the server;
the system comprises a data acquisition module, a server, a region division module, a permission setting module and a permission setting module, wherein the data acquisition module is used for acquiring the pedestrian flow of a sales terminal and sending the pedestrian flow of the sales terminal and an operation value JYu of products of the same type of the sales terminal to the server, the server is used for performing region division on the sales range of the products of the same type to obtain a plurality of operation monitoring regions and corresponding region grades, the region division module feeds the region grades of the operation monitoring regions back to the server, the server sends the region grades of the operation monitoring regions to the permission setting module, and the permission setting module is used for setting product permissions of the operation monitoring regions;
the balance scheduling module is used for carrying out balance scheduling on products of the same type of the sales terminals to obtain selected sales terminals, the balance scheduling module feeds the selected sales terminals back to the server, the server sends scheduling instructions to the selected sales terminals, and the selected sales terminals are in contact with the sales terminals needing product scheduling.
Further, the sales data includes the number of sales, the per-person sales, the daily sales, and the product inventory.
Further, the analysis process of the business analysis module is specifically as follows:
the method comprises the following steps: marking the sales terminals as u, u =1, 2, … …, z, z being a positive integer; acquiring the average number of sales people of the same type of products one month before the sales terminal, and marking the average number of sales people as XJRu; acquiring the per-capita sales volume of the same type of products one month before the sales terminal, and marking the per-capita sales volume as RJXu;
step two: calculating the total sale amount XZu of the same type of products in the previous month of the sale terminal by using a formula XZu = XJRu multiplied by RJXu;
step three: acquiring the stock of the same type of products of the sales terminals, and marking the stock as KCu;
step four: if the KCu is more than XZu, the smooth running coefficient of the same type of products at the sales terminal is v 1;
if KCu = XZu, the running sale coefficient of the same type of products at the sales terminal is v 2;
if the KCu is less than XZu, the smooth running coefficient of the same type of products at the sales terminal is v 3;
step five: counting the daily sales volume of the same type of products in the previous month of the sales terminal, and marking the daily sales volume as XSLui, wherein i =1, 2, … …, x and i are daily numbers, x is a positive integer, and the value of x is set according to the actual days of the month;
step six: calculating sales fluctuation values of the same type of products of the sales terminal between adjacent days, and adding and summing a plurality of sales fluctuation values and dividing the sum by the time interval number to obtain a sales fluctuation mean JXBu of the same type of products of the sales terminal;
step seven: the business penetration factor is divided by the average value of the sales fluctuation to obtain the business value JYu of the same type of product at the sales terminal.
Further, v1, v2 and v3 are all fixed values greater than zero, and v1 < v2 < v 3.
Further, the working process of the region division module is specifically as follows:
step S1: dividing the sales range of the same type of products into a plurality of operation monitoring areas o, o =1, 2, … …, n, n is a positive integer; acquiring the number of sales terminals of the same type of products in the operation monitoring area, and recording the number of the sales terminals as ZDSO;
step S2: acquiring the operation value JYUO of the same type of products of each sales terminal in the operation monitoring area; acquiring the flow of people of a sales terminal in an operation monitoring area, and marking the flow of people as RLuo;
step S3: combination formula
Calculating to obtain a terminal value ZDduo of the sales terminal in the operation monitoring area, wherein a1 and a2 are proportionality coefficients with fixed numerical values, and the values of a1 and a2 are both greater than zero;
step S4: adding and summing the terminal values and dividing the sum by the number of the sales terminals to obtain a terminal average value JZDo of the operation monitoring area;
step S5: if JZDO is less than X1, the region level of the operation monitoring region is a common operation region;
if the X1 is not more than JZDo which is less than X2, the region level of the operation monitoring region is a medium operation region;
if X2 is less than or equal to JZDo, the region level of the operation monitoring region is a high-quality operation region; wherein, X1 and X2 are both operation thresholds, and X1 is less than X2.
Further, the setting process of the permission setting module is specifically as follows:
if the regional grade of the operation monitoring region is a high-quality operation region, the product permission of the operation monitoring region is as follows: the product is distributed preferentially, the product quality guarantee is postponed, the product is updated, the product is changed and returned;
if the regional grade of the operation monitoring region is a medium operation region, the product authority of the operation monitoring region is product quality guarantee delay, product renewal, product delivery and product return and exchange;
if the regional grade of the operation monitoring region is a common operation region, the product permission of the operation monitoring region is as follows: and (5) adding new products, transferring products and returning products.
Further, the working process of the balanced scheduling module is specifically as follows:
step SS 1: adding and averaging the sales volumes of the same type of products each day in the previous month of the sales terminal to obtain the daily average sales volume RJu;
step SS 2: dividing the inventory KCu by the daily average sales volume RJu to obtain the consumption time length XHTu of the same type of products at the sales terminal;
step SS 3: if XHTu < Y1, generating an immediate dispatching signal, and entering the next step;
if Y1 is less than or equal to XHTu, generating a normal scheduling signal without any operation; wherein Y1 is a consumption duration threshold;
step SS 4: taking a sales terminal as an origin, and acquiring the spacing distance between the sales terminal and an operation monitoring area;
step SS 5: if the operation monitoring area with the minimum spacing distance is a common operation area, a sales terminal is selected from the common operation area;
if the operation monitoring area with the minimum spacing distance is a medium operation area, selecting a sales terminal after comparing the inventory of the sales terminal in the medium operation area;
and if the operation monitoring area with the minimum spacing distance is a high-quality operation area, replacing the operation monitoring area and selecting the sales terminal.
Further, the server further comprises an operation comparison module and a data reference module, wherein the operation comparison module is used for traversing and comparing the operation value of the sales terminal, the sales terminal with the maximum operation value is obtained through comparison, the operation comparison module sends the sales terminal with the maximum operation value to the data reference module, and the data reference module is used for referencing the sales work of the sales terminal with the maximum operation value.
Further, the working process of the data reference module specifically comprises:
acquiring business hours, sales activities, sales spoken languages and sales moods corresponding to the sales terminals;
integrating business hours, sales activities, sales spoken languages and sales tone into a reference information packet and printing a reference information page;
the reference information page is used for distributing sales personnel to carry out daily learning for a certain time, and the lower the operation value is, the longer the learning time is;
and during learning, calculating the current operation value of the sales terminal, and checking the data reference effect after comparing the current operation value with the previous operation value.
Compared with the prior art, the invention has the beneficial effects that:
1. the invention analyzes the operation condition of the same type of products of the sales terminal through the operation analysis module to obtain the operation value of the same type of products of the sales terminal, meanwhile, the data acquisition module is used for acquiring the pedestrian volume of the sales terminal, and sending the business value of the same type of products of the sales terminal and the pedestrian volume of the sales terminal to the region division module, the regional division module is used for carrying out regional division on the sales range of the products of the same type to obtain an operation monitoring region and a corresponding regional grade, the regional grade of the operation monitoring region is sent to the authority setting module, the method comprises the steps that the product permission of an operation monitoring area is set through a permission setting module, and the corresponding product permission is set according to the area grade of the operation monitoring area;
2. the invention carries out balanced dispatching on the same type of products of the sales terminals through the balanced dispatching module, combines the consumed duration, the interval distance and the regional grade of the operation monitoring area, thereby selecting the sales terminals to carry out product dispatching.
Drawings
In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings.
FIG. 1 is an overall system block diagram of the present invention;
FIG. 2 is a block diagram of another system of the present invention.
Detailed Description
To further illustrate the technical means and effects of the present invention adopted to achieve the predetermined objects, the following detailed description of the embodiments, structures, features and effects according to the present invention will be made with reference to the accompanying drawings and preferred embodiments.
Referring to fig. 1, a multi-state mixed operation data management system includes a plurality of sales terminals, an authority setting module, a balance scheduling module, an operation analysis module, a region division module, a data acquisition module, and a server;
the system comprises a sales terminal, a server and a server, wherein the sales terminal is used for inputting product types and sales data and sending the product types and the sales data to the server, and when the system is implemented specifically, the sales terminal can be a one-stop shopping place such as a shopping square, a community market and the like, and can also be a shopping store in the form of a special store, a flagship store or a convenience store;
wherein the sales data comprises the number of sales persons, per-person sales volume, daily sales volume, product inventory and the like;
the server marks the types of the products with the sales data, combines the products into a sales data packet and sends the sales data packet to the operation analysis module, the operation analysis module is used for analyzing the operation conditions of the products of the same type at the sales terminals, and the analysis process is as follows:
the method comprises the following steps: marking the sales terminals as u, u =1, 2, … …, z, z being a positive integer; acquiring the average number of sales people of the same type of products one month before the sales terminal, and marking the average number of sales people as XJRu; acquiring the per-capita sales volume of the same type of products one month before the sales terminal, and marking the per-capita sales volume as RJXu;
step two: calculating the total sale amount XZu of the same type of products in the previous month of the sale terminal by using a formula XZu = XJRu multiplied by RJXu;
step three: acquiring the stock of the same type of products of the sales terminals, and marking the stock as KCu;
step four: if the KCu is more than XZu, the smooth running coefficient of the same type of products at the sales terminal is v 1;
if KCu = XZu, the running sale coefficient of the same type of products at the sales terminal is v 2;
if the KCu is less than XZu, the smooth running coefficient of the same type of products at the sales terminal is v 3; wherein v1, v2 and v3 are all fixed values greater than zero, and v1 < v2 < v 3;
step five: counting the daily sales volume of the same type of products in the previous month of the sales terminal, and marking the daily sales volume as XSLui, wherein i =1, 2, … …, x and i are daily numbers, x is a positive integer, and the value of x is set according to the actual days of the month;
step six: calculating sales fluctuation values of the same type of products of the sales terminal between adjacent days, and adding and summing a plurality of sales fluctuation values and dividing the sum by the time interval number to obtain a sales fluctuation mean JXBu of the same type of products of the sales terminal;
for example, if the sales volume of the previous month is 7 months, the sales volume of 7 months 1 day is 5, the sales volume of 7 months 2 days is 10, the sales volume of 7 months 3 days is 3, the sales fluctuation value of 7 months 1 day to 7 months 2 days is 5, the sales fluctuation value of 7 months 2 days to 7 months 3 days is 7, and the time interval of 7 months 1 day to 7 months 3 days is 2 days, the formula is used
Calculating to obtain a sales fluctuation mean value of 6 from 1 day in 7 months to 3 days in 7 months;
step seven: dividing the operation successful sale coefficient by the average value of the sales fluctuation to obtain an operation value JYu of the same type of products of the sales terminal; here, the operation successful sale coefficient is in direct proportion to the operation value, and the sales fluctuation mean value is in inverse proportion to the operation value;
the data acquisition module is used for acquiring the flow of people of the sales terminal and sending the flow of people to the server, and the server sends the flow of people of the sales terminal to the area division module; the operation analysis module feeds back the operation value JYu of the same type of products of the sales terminals to the server, the server sends the operation value of the same type of products of the sales terminals to the region division module, the region division module is used for performing region division on the sales range of the same type of products, and the working process is as follows:
step S1: dividing the sales range of the same type of products into a plurality of operation monitoring areas o, o =1, 2, … …, n, n is a positive integer; acquiring the number of sales terminals of the same type of products in the operation monitoring area, and recording the number of the sales terminals as ZDSO;
step S2: acquiring the operation value JYUO of the same type of products of each sales terminal in the operation monitoring area; acquiring the flow of people of a sales terminal in an operation monitoring area, and marking the flow of people as RLuo;
step S3: combination formula
Calculating to obtain a terminal value ZDduo of the sales terminal in the operation monitoring area, wherein a1 and a2 are proportionality coefficients with fixed numerical values, and the values of a1 and a2 are both greater than zero;
step S4: adding and summing the terminal values and dividing the sum by the number of the sales terminals to obtain a terminal average value JZDo of the operation monitoring area;
step S5: if JZDO is less than X1, the region level of the operation monitoring region is a common operation region;
if the X1 is not more than JZDo which is less than X2, the region level of the operation monitoring region is a medium operation region;
if X2 is less than or equal to JZDo, the region level of the operation monitoring region is a high-quality operation region; wherein X1 and X2 are both operation thresholds, and X1 is less than X2;
the region division module feeds back the region grade of the operation monitoring region to the server, the server sends the region grade of the operation monitoring region to the permission setting module, the permission setting module is used for setting the product permission of the operation monitoring region, and the setting process is as follows:
if the regional grade of the operation monitoring region is a high-quality operation region, the product permission of the operation monitoring region is as follows: the product is distributed preferentially, the product quality guarantee is postponed, the product is updated, the product is changed, the product is returned and changed, etc.;
if the regional grade of the operation monitoring region is a medium operation region, the product authority of the operation monitoring region is product quality guarantee delay, product renewal, product delivery, product return and exchange and the like;
if the regional grade of the operation monitoring region is a common operation region, the product permission of the operation monitoring region is as follows: product updating, product transferring, product returning and changing and the like;
in specific implementation, the expression here means that the product authority of the high-quality operation area is greater than that of the medium operation area, and the product authority of the medium operation area is greater than that of the common operation area, so that the product authority is not limited to specific contents of the product authority as long as differentiated setting of the product authority is achieved;
the balance scheduling module is used for carrying out balance scheduling on products of the same type of the sales terminals, and the working process is as follows:
step SS 1: adding and averaging the sales volumes of the same type of products each day in the previous month of the sales terminal to obtain the daily average sales volume RJu;
step SS 2: dividing the inventory KCu by the daily average sales volume RJu to obtain the consumption time length XHTu of the same type of products at the sales terminal;
step SS 3: if XHTu < Y1, generating an immediate dispatching signal, and entering the next step;
if Y1 is less than or equal to XHTu, generating a normal scheduling signal without any operation; wherein Y1 is a consumption duration threshold;
step SS 4: taking a sales terminal as an origin, and acquiring the spacing distance between the sales terminal and an operation monitoring area;
step SS 5: if the operation monitoring area with the minimum spacing distance is a common operation area, a sales terminal is selected from the common operation area;
if the operation monitoring area with the minimum spacing distance is a medium operation area, selecting a sales terminal after comparing the inventory of the sales terminal in the medium operation area;
if the operation monitoring area with the minimum spacing distance is a high-quality operation area, replacing the operation monitoring area and selecting a sale terminal;
the balance scheduling module feeds back the selected sales terminal to the server, the server sends a scheduling instruction to the selected sales terminal, and the selected sales terminal is in contact with the sales terminal needing product scheduling;
as shown in fig. 2, the server further includes an operation comparison module and a data reference module, the operation comparison module is used for traversing and comparing the operation value of the sales terminal, and comparing the operation value to obtain the maximum operation value of the sales terminal, the operation comparison module sends the maximum operation value of the sales terminal to the data reference module, the data reference module is used for referencing the sales work of the maximum operation value of the sales terminal, and the working process specifically includes: acquiring business hours, sales activities, sales spoken languages and sales moods corresponding to the sales terminals; integrating business hours, sales activities, sales spoken languages and sales tone into a reference information packet and printing a reference information page; the reference information page is used for distributing sales personnel to carry out daily learning for a certain time, and the lower the operation value is, the longer the learning time is; and during learning, calculating the current operation value of the sales terminal, and checking the data reference effect after comparing the current operation value with the previous operation value.
A multi-state mixed operation data management system is characterized in that when the system works, a sales terminal inputs product types and sales data and sends the product types and the sales data to a server, and the server marks the product types with the sales data and then combines the marked product types into a sales data packet to be sent to an operation analysis module;
the operation analysis module is used for analyzing the operation conditions of the same type of products of the sales terminal to obtain the average number XJRu and average sales volume RJxu of the same type of products in the previous month of the sales terminal, the formula XZu = XJRu x RJxu is used for calculating to obtain the total sales volume XZu of the same type of products in the previous month of the sales terminal, then the stock KCu of the same type of products of the sales terminal is obtained, if the KCu is more than XZu, the operation smooth sales coefficient of the same type of products of the sales terminal is v1, if the KCu = XZu, the operation smooth sales coefficient of the same type of products of the sales terminal is v2, if the KCu is less than XZu, the operation smooth sales coefficient of the same type of products of the sales terminal is v3, the daily sales volume LuXSi of the same type of products in the previous month of the sales terminal is counted, the sales fluctuation value of the same type of products of the sales terminal between adjacent days is calculated, a plurality of sales fluctuation values are added and summed and divided by the number of time intervals to obtain the sales average sales value BuXXXXXXXXXXXXXBu of the sales fluctuation value of the same type of products of the sales terminal, dividing the operation successful sale coefficient by the sales fluctuation mean value to obtain an operation value JYu of the same type of products of the sales terminal, and feeding back an operation value JYu of the same type of products of the sales terminal to the server by the operation analysis module;
the system comprises a data acquisition module, a server, a region division module, a plurality of operation monitoring regions o, a formula and a formula, wherein the data acquisition module acquires the people flow of a sales terminal and sends the operation value of the same type of products of the sales terminal and the people flow of the sales terminal to the server, the server sends the operation value of the same type of products of the sales terminal and the people flow of the sales terminal to the region division module, the region division module is used for performing region division on the sales range of the same type of products, the sales range of the same type of products is divided into the plurality of operation monitoring regions o, the operation monitoring regions ZDSo are combined with the formula according to the number of the sales terminals acquiring the same type of products in the operation monitoring regions, the operation value JYUo of the same type of products of each sales terminal and the people flow RLuo of the sales terminal
Calculating to obtain a terminal value ZDduo of a sales terminal in the operation monitoring area, adding and summing the terminal values and dividing the terminal values by the number of the sales terminals to obtain a terminal average value JZDo of the operation monitoring area, if JZDo is less than X1, the area grade of the operation monitoring area is a common operation area, if X1 is less than or equal to JZDo and less than X2, the area grade of the operation monitoring area is a medium operation area, if X2 is less than or equal to JZDo, the area grade of the operation monitoring area is a high-quality operation area, and the area dividing module feeds the area grade of the operation monitoring area back to the server;
the server sends the regional grade of the operation monitoring area to the permission setting module, sets the product permission of the operation monitoring area through the permission setting module, and if the regional grade of the operation monitoring area is a high-quality operation area, the product permission of the operation monitoring area is as follows: the product priority is distributed, the product quality guarantee is postponed, the product is new, the product is transferred, the product is returned and exchanged etc., if the regional grade of the operation monitoring area is the medium operation area, the product authority of the operation monitoring area is the product quality guarantee postponed, the product is new, the product is transferred, the product is returned and exchanged etc., if the regional grade of the operation monitoring area is the common operation area, the product authority of the operation monitoring area is: product updating, product transferring, product returning and changing and the like;
meanwhile, the same type of products of the sales terminal are subjected to balanced scheduling through a balanced scheduling module, daily sales volumes of the same type of products in the previous month of the sales terminal are added and averaged to obtain daily average sales volume RJu, the stock KCu is divided by the daily average sales volume RJu to obtain consumption time length XHTu of the same type of products of the sales terminal, if Y1 is less than or equal to XHTu, a normal scheduling signal is generated, no operation is performed, if XHTu is less than Y1, an immediate scheduling signal is generated, the spacing distance between the sales terminal and an operation monitoring area is obtained by taking the sales terminal as an origin, if the operation monitoring area with the minimum spacing distance is a common operation area, the sales terminal is randomly selected from the common operation area, if the monitoring area with the minimum spacing distance is a medium operation area, the sales terminal in the medium operation area compares the stock to select the sales terminal, and if the operation monitoring area with the minimum spacing distance is a high-quality operation area, the method comprises the steps that a sales terminal is selected in a replacement operation monitoring area, a balance scheduling module feeds back the selected sales terminal to a server, the server sends a scheduling instruction to the selected sales terminal, and the selected sales terminal is in contact with the sales terminal needing product scheduling;
the server also comprises an operation comparison module and a data reference module, the operation comparison module traverses and compares the operation value of the sales terminal, the sales terminal with the maximum operation value is obtained through comparison, the operation comparison module sends the sales terminal with the maximum operation value to the data reference module, the data reference module references the sales work of the sales terminal with the maximum operation value, the business time, the sales activities, the sales oral languages and the sales language corresponding to the sales terminal are obtained, the business time, the sales activities, the sales oral languages and the sales language are integrated into a reference information packet and a reference information page is printed, the reference information page distributes sales personnel to perform daily learning for a certain time length, the lower the operation value is, the longer the learning time length is, the current operation value of the sales terminal is calculated during learning, and the data reference effect is checked after the current operation value is compared with the previous operation value.
The above formulas are all calculated by taking the numerical value of the dimension, the formula is a formula which is obtained by acquiring a large amount of data and performing software simulation to obtain the latest real situation, and the preset parameters in the formula are set by the technical personnel in the field according to the actual situation, such as the formula:
the technical personnel in the field collect the operation value of the same type of products of each sales terminal and the flow of people of the sales terminal in the operation monitoring area, set a corresponding proportionality coefficient for data, substitute the set proportionality coefficient and the collected data into a formula, and calculate to obtain the terminal value of the sales terminal in the operation monitoring area, wherein the size of the coefficient is a specific numerical value obtained by quantizing each parameter, so that the subsequent comparison is convenient, and regarding the size of the coefficient, the method can be used as long as the proportional relation between the parameter and the quantized numerical value is not influenced.
Although the present invention has been described with reference to the preferred embodiments, it should be understood that various changes, substitutions and alterations can be made herein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (9)
1. A multi-state mixed operation data management system is characterized by comprising a plurality of sales terminals, an authority setting module, a balance scheduling module, an operation analysis module, a region division module, a data acquisition module and a server, wherein the sales terminals are used for inputting product types and sales data and sending the product types and the sales data to the server, the server marks the sales data and combines the product types into a sales data packet to be sent to the operation analysis module, and the operation analysis module is used for analyzing the operation conditions of the same type of products of the sales terminals, analyzing the operation values JYu of the same type of products of the sales terminals to obtain the operation values JYu and sending the operation values to the server;
the system comprises a data acquisition module, a server, a region division module, a permission setting module and a permission setting module, wherein the data acquisition module is used for acquiring the pedestrian flow of a sales terminal and sending the pedestrian flow of the sales terminal and an operation value JYu of products of the same type of the sales terminal to the server, the server is used for performing region division on the sales range of the products of the same type to obtain a plurality of operation monitoring regions and corresponding region grades, the region division module feeds the region grades of the operation monitoring regions back to the server, the server sends the region grades of the operation monitoring regions to the permission setting module, and the permission setting module is used for setting product permissions of the operation monitoring regions;
the balance scheduling module is used for carrying out balance scheduling on products of the same type of the sales terminals to obtain selected sales terminals, the balance scheduling module feeds the selected sales terminals back to the server, the server sends scheduling instructions to the selected sales terminals, and the selected sales terminals are in contact with the sales terminals needing product scheduling.
2. The multi-business state mixed business operation data management system as claimed in claim 1, wherein the sales data includes the number of sales persons, per-person sales volume, daily sales volume and product stock volume.
3. The system of claim 1, wherein the business analysis module analyzes the business data as follows:
the method comprises the following steps: marking the sales terminals as u, u =1, 2, … …, z, z being a positive integer; acquiring the average number of sales people of the same type of products one month before the sales terminal, and marking the average number of sales people as XJRu; acquiring the per-capita sales volume of the same type of products one month before the sales terminal, and marking the per-capita sales volume as RJXu;
step two: calculating the total sale amount XZu of the same type of products in the previous month of the sale terminal by using a formula XZu = XJRu multiplied by RJXu;
step three: acquiring the stock of the same type of products of the sales terminals, and marking the stock as KCu;
step four: if the KCu is more than XZu, the smooth running coefficient of the same type of products at the sales terminal is v 1;
if KCu = XZu, the running sale coefficient of the same type of products at the sales terminal is v 2;
if the KCu is less than XZu, the smooth running coefficient of the same type of products at the sales terminal is v 3;
step five: counting the daily sales volume of the same type of products in the previous month of the sales terminal, and marking the daily sales volume as XSLui, wherein i =1, 2, … …, x and i are daily numbers, x is a positive integer, and the value of x is set according to the actual days of the month;
step six: calculating sales fluctuation values of the same type of products of the sales terminal between adjacent days, and adding and summing a plurality of sales fluctuation values and dividing the sum by the time interval number to obtain a sales fluctuation mean JXBu of the same type of products of the sales terminal;
step seven: the business penetration factor is divided by the average value of the sales fluctuation to obtain the business value JYu of the same type of product at the sales terminal.
4. The multi-business mixed-business operation data management system of claim 3, wherein v1, v2 and v3 are all fixed values greater than zero, and v1 < v2 < v 3.
5. The system for managing data of a multi-state mixed operation as claimed in claim 1, wherein the operation process of the region division module is as follows:
step S1: dividing the sales range of the same type of products into a plurality of operation monitoring areas o, o =1, 2, … …, n, n is a positive integer; acquiring the number of sales terminals of the same type of products in the operation monitoring area, and recording the number of the sales terminals as ZDSO;
step S2: acquiring the operation value JYUO of the same type of products of each sales terminal in the operation monitoring area; acquiring the flow of people of a sales terminal in an operation monitoring area, and marking the flow of people as RLuo;
step S3: combination formula
Calculating to obtain a terminal value ZDduo of the sales terminal in the operation monitoring area, wherein a1 and a2 are proportionality coefficients with fixed numerical values, and the values of a1 and a2 are both greater than zero;
step S4: adding and summing the terminal values and dividing the sum by the number of the sales terminals to obtain a terminal average value JZDo of the operation monitoring area;
step S5: if JZDO is less than X1, the region level of the operation monitoring region is a common operation region;
if the X1 is not more than JZDo which is less than X2, the region level of the operation monitoring region is a medium operation region;
if X2 is less than or equal to JZDo, the region level of the operation monitoring region is a high-quality operation region; wherein, X1 and X2 are both operation thresholds, and X1 is less than X2.
6. The system for managing data of a multi-state mixed operation as claimed in claim 1, wherein the process of setting the permission setting module is as follows:
if the regional grade of the operation monitoring region is a high-quality operation region, the product permission of the operation monitoring region is as follows: the product is distributed preferentially, the product quality guarantee is postponed, the product is updated, the product is changed and returned;
if the regional grade of the operation monitoring region is a medium operation region, the product authority of the operation monitoring region is product quality guarantee delay, product renewal, product delivery and product return and exchange;
if the regional grade of the operation monitoring region is a common operation region, the product permission of the operation monitoring region is as follows: and (5) adding new products, transferring products and returning products.
7. The system for managing data of a multi-state mixed operation as claimed in claim 1, wherein the operation process of the balance scheduling module is as follows:
step SS 1: adding and averaging the sales volumes of the same type of products each day in the previous month of the sales terminal to obtain the daily average sales volume RJu;
step SS 2: dividing the inventory KCu by the daily average sales volume RJu to obtain the consumption time length XHTu of the same type of products at the sales terminal;
step SS 3: if XHTu < Y1, generating an immediate dispatching signal, and entering the next step;
if Y1 is less than or equal to XHTu, generating a normal scheduling signal without any operation; wherein Y1 is a consumption duration threshold;
step SS 4: taking a sales terminal as an origin, and acquiring the spacing distance between the sales terminal and an operation monitoring area;
step SS 5: if the operation monitoring area with the minimum spacing distance is a common operation area, a sales terminal is selected from the common operation area;
if the operation monitoring area with the minimum spacing distance is a medium operation area, selecting a sales terminal after comparing the inventory of the sales terminal in the medium operation area;
and if the operation monitoring area with the minimum spacing distance is a high-quality operation area, replacing the operation monitoring area and selecting the sales terminal.
8. The multi-state mixed operation data management system according to claim 1, wherein the server further comprises an operation comparison module and a data reference module, the operation comparison module is used for traversing and comparing the operation values of the sales terminals to obtain the sales terminal with the maximum operation value, the operation comparison module sends the sales terminal with the maximum operation value to the data reference module, and the data reference module is used for referencing the sales work of the sales terminal with the maximum operation value.
9. The system according to claim 8, wherein the data reference module is configured to operate in a process of:
acquiring business hours, sales activities, sales spoken languages and sales moods corresponding to the sales terminals;
integrating business hours, sales activities, sales spoken languages and sales tone into a reference information packet and printing a reference information page;
the reference information page is used for distributing sales personnel to carry out daily learning for a certain time, and the lower the operation value is, the longer the learning time is;
and during learning, calculating the current operation value of the sales terminal, and checking the data reference effect after comparing the current operation value with the previous operation value.
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