CN116596488A - Visual merchant management platform based on big data analysis - Google Patents

Visual merchant management platform based on big data analysis Download PDF

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CN116596488A
CN116596488A CN202310881161.5A CN202310881161A CN116596488A CN 116596488 A CN116596488 A CN 116596488A CN 202310881161 A CN202310881161 A CN 202310881161A CN 116596488 A CN116596488 A CN 116596488A
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information
commodity
management unit
management
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路杨
刘蛟
张昊
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Jialian Payment Co ltd
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Jialian Payment Co ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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Abstract

The invention discloses a visual merchant management platform based on big data analysis, which relates to the technical field of merchant management and provides a scheme which comprises a shop management unit, a commodity management unit, an inventory verification unit, a sales management unit, a contract management unit, an employee management unit and a supplier management unit, wherein the shop management unit is used for uniformly managing information of a shop and comprises newly added shop information, modified shop information and logged-off shop information. The invention can analyze through the data analysis unit, thereby meeting the management functions of merchants in the aspects of goods intake, sales, inventory and the like, not only meeting the requirements of middle and small merchants, but also reducing the development cost and improving the operation efficiency, and can evaluate and process the reputation level standard of the suppliers through the qualification verification unit, and can process after-sales problem service to after-sales customers through the after-sales service unit, thereby effectively improving the operation effect.

Description

Visual merchant management platform based on big data analysis
Technical Field
The invention relates to the technical field of merchant management, in particular to a visual merchant management platform based on big data analysis.
Background
With the rapid development of Chinese economy, the scale of Chinese business body is gradually increased, a business complex form is gradually formed, business, entertainment, offices, houses, catering and other aspects are integrated together, a multifunctional complex business complex project is formed, the project complexity is increased, the difficulty of business management is increased to a certain extent, in the traditional business body, the informatization management of the business is mostly limited to the personal information of the business, and some comment comparison information is rarely combined with the basic information of the business in a system, so that the behavior of the business is difficult to carry out a system constraint, meanwhile, the traditional retail industry has no small challenge to the management of medium and small businesses through the management means, the processing efficiency is extremely low, the management mode of software management is widely applied, the management mode of the large and small businesses is not suitable for the business, and meanwhile, the medium and small businesses cannot accurately evaluate the business, so that the low-reputation suppliers are in a virtual state and supply some commodities without quality influence, and for this reason, a visual business management platform based on the large-scale business management data is proposed.
Disclosure of Invention
The invention provides a visual merchant management platform based on big data analysis, which aims to solve the defects in the prior art.
In order to achieve the above purpose, the present invention adopts the following technical scheme:
the visual merchant management platform based on big data analysis comprises a shop management unit, a commodity management unit, an inventory verification unit, a sales management unit, a contract management unit, an employee management unit and a supplier management unit, wherein the shop management unit is used for uniformly managing information of shops, comprises newly added shop information, modified shop information and logged-off shop information, and respectively sends the newly added shops and the modified data information to the supplier management unit, the commodity management unit, the sales management unit and the employee management unit;
the newly added shop core code is as follows:
Protected void btnadd_Click(object sender,EnventArgs e)
{if(FileUploadmy.HasFile){stringextension=System.IO.Path.GetExtension(FileUploadmy.FileName);
if(extension ==“.jpg"||extension ==“.gif"||extension ==“.png")
{ String picname=DateTime.Now.ToString(yyyyMMddHHmmss);
generating new picture names
FileUploadmy..SaveAs(Path.Combine(Request.PhysicalApplicationPath,"upload\\"+picname+extension));
labelpic.Text=picname+extension;
Imagemy.ImageUrl="../upload/"+picname+extension;
string picpath="../upload/"+picname+extension;
DataModel mydata = new DataModel mydata();
data.insertShop(shopid,shopname,address,leader,opentime,picpath );
The } else response. Write ("< script > alert ('uploaded picture type error), upload type can only be |. Jpg |, gif|, png|') </script >") };
the commodity management unit is used for carrying out concentrated classified storage management on commodity information, wherein the commodity management unit comprises newly added commodity information, modified commodity information and logged-off commodity information, and sends the added and modified commodity data information to the inventory verification unit;
the inventory verification unit is used for verifying the commodity information of the commodity quantity information remained in the warehouse;
the sales management unit is used for managing the participation of sales personnel in commodity sales, and mainly comprises sales order generation and sales ex-warehouse statistics processing;
the contract management unit is used for carrying out unified storage management on contract information between enterprises and suppliers, and mainly comprises new contract information addition, contract information modification and contract reminding functions;
the staff management unit is used for carrying out centralized management processing on system staff and common staff, wherein the system staff refers to staff who apply the system except an administrator, the common staff refers to staff who work on a shop, and the staff cannot log in the system to operate, and the staff management unit comprises new staff information, modified staff information and logged-out staff information;
the core code of the staff information modification is as follows:
Protected void btnsearch_Click(object sender,EnventArgs e){ DataModel data =new DataModel mydata();
DataTable table=new DataTable();
if(flag==1) table=data.searchSysUser(column,info);
else table=data.searchUser(column,info); }
Protected void btnupdate_Click(object sender,EnventArgs e){ DataModel data =new DataModel mydata();
if(flag==1)data.updateSysUser(suserid,susername,suserpwd,semail,scell,saddress,birthday,role);
elsedata.updateUser(userid,username,userpwd,email,cell,address,birthday,role); };
the supplier management unit is used for unified management of supplier information by an enterprise manager, wherein the unified management comprises new supplier information, modification of the supplier information and cancellation of supplier information processing.
Further, the system also comprises a query statistics unit, a qualification verification unit, a work classification unit, an after-sales service unit, a problem recording unit, a data analysis unit and a visualization unit;
the inquiry statistical unit is used for carrying out statistical inquiry processing on shop information, commodity information, employee information, warehouse-in information, warehouse-out information, supplier information, contract information and sales information in the system;
the core code of the warehouse-in information is as follows:
Protected void btnsearch_Click(object sender,EnventArgs e){ DataModel data = new DataModel mydata();
DataTable table=new DataTable();
if(goodsid!="")table=data.searchGoods(“goodsid",goodsid);
else if(goodsname!="")
table=data.searchGoods(“goodsname",goodsname);
else response.write ("< script > window.alert ('please enter a commodity number or commodity name query commodity |') </script >"); is shown
Protected void btnadd_Click(object sender,EnventArgs e)
{ DataModel mydata = new DataModel mydata();
mydata.addStore(goodsid, storenumber);
string opsuserid=Session[“userid"];
string optime=DateTime.Now.ToString("yyyy-MM-dd");
mydata.addStoreInfo(goodsid,storenumber,optime,opsuserid,1,null);
Not only is the inventory of the good modified, but also the warehousing information is inserted;
the qualification verification unit is used for carrying out qualification evaluation verification processing on whether a product, service and management system of the newly added shop meets relevant standards, technical specifications or mandatory requirements of the product, service and management system, and sending verified data information to the after-sale service unit;
the after-sales service unit is used for carrying out satisfaction and service condition return visit processing on the sold commodity, and simultaneously carrying out after-sales service condition checking processing on the supplier verified by the qualification verification unit, and respectively sending the investigated data information to the data analysis unit and the problem recording unit;
the staff classification unit is used for carrying out post allocation marking processing on the staff newly added and changed by the staff management unit and sending the classified staff and staff data information to the visualization unit;
the problem recording unit is used for carrying out centralized collection and statistics processing on the after-sale problems known by the after-sale service unit and sending the counted problem data information to the visualization unit;
the data analysis unit is used for analyzing and processing the data and sales conditions of the sold goods, wherein the data analysis unit comprises visualization of sales data, associated mining of the sold goods, evaluation processing of suppliers through analysis of the sales data, and sending the analyzed data information to the problem recording unit and the visualization unit respectively;
the visualization unit is used for performing visual display processing on post data information after analysis and staff allocation.
Further, the qualification verification unit comprises a credit evaluation module and a credit evaluation calculation model, wherein the credit evaluation module classifies the credit grade of the provider by using classification rules, and automatically sends the classification calculation result to the enterprise merchant through a short message platform to play a certain role in warning and excitation;
the reputation evaluation calculation model judges the decision analysis mode of the feasibility by forming a decision tree, and the reputation evaluation calculation model construction process comprises the following steps:
(1) Preprocessing the data set D, and dividing the data set D into m classesAnd n attributesA training data set and test data are selected.
(2) Calculation ofInformation entropy of (2) calculating various categories +.>The sum of the uncertainties that occur is given by:
(3) After the data set D of the division A is calculated, the information entropy EntropyA (D) and the information Gain ratio Gain (Ai) under the new classification condition are calculated according to the following formulas:and->
(4) Computing attributesIs a gain ratio of information of (a): />And
(5) And taking the attribute A with the maximum information gain rate as a root attribute, and splitting by taking the attribute A as a root node until a target class expected to be predicted is obtained.
The reputation evaluation module based on the decision tree establishes a decision tree according to the reputation record information of the provider, and the algorithm comprises the following steps: getTree (T, t_attribute), where Input is the merchant reputation information record set, T is the current candidate prediction attribute set t_attribute, output: the decision tree generated by the decision tree for classifying the reputation information of the commercial tenant classifies the reputation behavior of the commercial tenant, and the classified information provides effective data support for the management of the standardized commercial entity.
Further, the system employee entity includes attributes that are: administrator number, name, password, mail, phone number, address, birthday, role, and whether fields have been deleted;
the common employee information entity includes the following attributes: employee number, name, post, phone number, address, whether deleted or not, shop number;
the store information entity comprises the following attributes: shop number, name, address and responsible person.
Further, the inventory verification unit comprises a commodity ex-warehouse module, a commodity purchasing module and a commodity reminding module;
after logging in the system by a storeman, clicking the commodity in the inventory management tag to be delivered, automatically displaying other information of the commodity by the system after filling in the commodity name or commodity number, filling in the quantity required to be delivered, and updating the information to a data table after clicking the delivery;
after logging in the system through a storehouse personnel, clicking the commodity purchasing in the inventory management label, selecting commodity information to be purchased, and automatically generating a PDF purchase order after clicking the purchasing;
after logging in the system by the warehouse personnel, if the inventory in the commodity is insufficient, the commodity is backlogged or the shelf life is about to be exceeded, the reminding word body is red, and after clicking the commodity reminding label, detailed reminding information including commodity information and reminding reasons is displayed, so that a purchase order can be generated for the commodity with insufficient inventory.
Further, the output end of the shop management unit is respectively connected with the input ends of the commodity management unit, the supplier management unit, the sales management unit and the staff management unit, the output end of the commodity management unit is connected with the input end of the inventory verification unit, the output end of the inventory verification unit is connected with the input end of the data analysis unit, and the output end of the data analysis unit is respectively connected with the input ends of the problem recording unit and the visualization unit;
the output end of the supplier management unit is connected with the input end of the qualification verification unit, the output end of the qualification verification unit is connected with the input end of the after-sales service unit, the output end of the after-sales service unit is connected with the input end of the data analysis unit, the output end of the employee management unit is connected with the input end of the work class classification unit, and the output end of the work class classification unit is connected with the input end of the visualization unit;
the input end of the sales management unit is connected with the input end of the contract management unit, the output end of the contract management unit is respectively connected with the input ends of the after-sales service unit and the inventory verification unit, and the query statistics unit is in bidirectional connection with the commodity management unit, the supplier management unit, the staff management unit, the contract management unit and the inventory verification unit.
Further, the output end of the supplier management unit is connected with the input end of the reputation evaluation module, the output end of the reputation evaluation module is connected with the input end of the after-sales service unit, and the reputation evaluation calculation model transmits the calculation result to the reputation evaluation module.
Further, the output ends of the contract management unit and the commodity management unit are respectively connected with the input end of the commodity ex-warehouse module, the output end of the commodity ex-warehouse module is connected with the input end of the commodity purchasing module, the output end of the commodity purchasing module is connected with the input end of the commodity reminding module, and the query statistics unit is in bidirectional connection with the commodity ex-warehouse module, the commodity ex-warehouse module and the commodity reminding module.
Compared with the prior art, the invention has the beneficial effects that: the invention can analyze through the data analysis unit, thereby meeting the management functions of merchants in the aspects of goods intake, sales, inventory and the like, not only meeting the requirements of middle and small merchants, but also reducing the development cost and improving the operation efficiency, and can evaluate and process the reputation level standard of the suppliers through the qualification verification unit, and can process after-sales problem service to after-sales customers through the after-sales service unit, thereby effectively improving the operation effect.
Drawings
FIG. 1 is an overall system block diagram of a visual merchant management platform based on big data analysis proposed by the present invention;
FIG. 2 is a schematic block diagram of a qualification verification unit of the visual merchant management platform based on big data analysis;
FIG. 3 is a schematic block diagram of the inventory verification unit of the visual merchant management platform based on big data analysis according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In the description of the present invention, it should be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", "clockwise", "counterclockwise", etc. indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings are merely for convenience in describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be configured and operated in a specific orientation, and thus should not be construed as limiting the present invention.
Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include one or more of the described features. In the description of the present invention, the meaning of "a plurality" is two or more, unless explicitly defined otherwise. Furthermore, the terms "mounted," "connected," "coupled," and "connected" are to be construed broadly, and may be, for example, fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the terms in the present invention will be understood by those skilled in the art in detail, and the present invention will be further described in detail with reference to the accompanying drawings.
Example 1
Referring to fig. 1-3: the visual merchant management platform based on big data analysis comprises a shop management unit, a commodity management unit, an inventory verification unit, a sales management unit, a contract management unit, an employee management unit and a supplier management unit, wherein the shop management unit is used for uniformly managing information of shops, comprises newly added shop information, modified shop information and logged-off shop information, and respectively sends the newly added shops and the modified data information to the supplier management unit, the commodity management unit, the sales management unit and the employee management unit;
the newly added shop core code is as follows:
Protected void btnadd_Click(object sender,EnventArgs e)
{if(FileUploadmy.HasFile){stringextension=System.IO.Path.GetExtension(FileUploadmy.FileName);
if(extension ==“.jpg"||extension ==“.gif"||extension ==“.png")
{ String picname=DateTime.Now.ToString(yyyyMMddHHmmss);
generating new picture names
FileUploadmy..SaveAs(Path.Combine(Request.PhysicalApplicationPath,"upload\\"+picname+extension));
labelpic.Text=picname+extension;
Imagemy.ImageUrl="../upload/"+picname+extension;
string picpath="../upload/"+picname+extension;
DataModel mydata = new DataModel mydata();
data.insertShop(shopid,shopname,address,leader,opentime,picpath );
The } else response. Write ("< script > alert ('uploaded picture type error), upload type can only be |. Jpg |, gif|, png|') </script >") };
the commodity management unit is used for carrying out concentrated classified storage management on commodity information, wherein the commodity management unit comprises newly added commodity information, modified commodity information and logged-off commodity information, and sends the added and modified commodity data information to the inventory verification unit;
the inventory verification unit is used for verifying the commodity information of the commodity quantity information remained in the warehouse;
the sales management unit is used for managing the participation of sales personnel in commodity sales, and mainly comprises sales order generation and sales outlet statistical processing;
the contract management unit is used for carrying out unified storage management on contract information between enterprises and suppliers, and mainly comprises new contract information addition, contract information modification and contract reminding functions;
the staff management unit is used for carrying out centralized management processing on system staff and common staff, wherein the system staff refers to staff who apply the system except an administrator, the common staff refers to staff who work on a shop, the staff cannot log in the system to operate, and the staff management unit comprises new staff information, modified staff information and logged out staff information;
the modification staff information core code is as follows:
Protected void btnsearch_Click(object sender,EnventArgs e){ DataModel data =new DataModel mydata();
DataTable table=new DataTable();
if(flag==1) table=data.searchSysUser(column,info);
else table=data.searchUser(column,info); }
Protected void btnupdate_Click(object sender,EnventArgs e){ DataModel data =new DataModel mydata();
if(flag==1)data.updateSysUser(suserid,susername,suserpwd,semail,scell,saddress,birthday,role);
elsedata.updateUser(userid,username,userpwd,email,cell,address,birthday,role); };
the supplier management unit is used for unified management of supplier information by an enterprise manager, wherein the unified management comprises new supplier information, modified supplier information and cancellation of supplier information processing.
The invention also comprises a query statistics unit, a qualification verification unit, a work classification unit, an after-sales service unit, a problem recording unit, a data analysis unit and a visualization unit;
the inquiry statistical unit is used for carrying out statistical inquiry processing on the shop information, commodity information, employee information, warehouse-in information, warehouse-out information, supplier information, contract information and sales information in the system;
the core codes of the warehouse-in information are as follows:
Protected void btnsearch_Click(object sender,EnventArgs e){ DataModel data = new DataModel mydata();
DataTable table=new DataTable();
if(goodsid!="")table=data.searchGoods(“goodsid",goodsid);
else if(goodsname!="")
table=data.searchGoods(“goodsname",goodsname);
else response.write ("< script > window.alert ('please enter a commodity number or commodity name query commodity |') </script >"); is shown
Protected void btnadd_Click(object sender,EnventArgs e)
{ DataModel mydata = new DataModel mydata();
mydata.addStore(goodsid, storenumber);
string opsuserid=Session[“userid"];
string optime=DateTime.Now.ToString("yyyy-MM-dd");
mydata.addStoreInfo(goodsid,storenumber,optime,opsuserid,1,null);
Not only is the inventory of the good modified, but also the warehousing information is inserted;
the qualification verification unit is used for carrying out qualification evaluation verification processing on whether the newly added shops meet relevant standards, technical specifications or mandatory requirements of the products, services and management systems, and sending verified data information to the after-sale service unit;
the after-sales service unit is used for carrying out satisfaction and service condition return processing on the sold commodity, checking the after-sales service condition of the supplier verified by the qualification verification unit, and respectively sending the investigated data information to the data analysis unit and the problem recording unit;
the staff management unit is used for carrying out post allocation marking processing on the staff newly added and changed by the staff classification unit and sending the classified staff and staff data information to the visualization unit;
the problem recording unit is used for carrying out centralized collection and statistics processing on the after-sale problems known by the after-sale service unit and sending the counted problem data information to the visualization unit;
the data analysis unit is used for analyzing and processing the data of the sold goods and the sales situation, wherein the data analysis unit comprises visualization of the sales data, associated mining of the sold goods, evaluation processing of suppliers through analysis of the sales data, and sending the analyzed data information to the problem recording unit and the visualization unit respectively;
the visualization unit is used for performing visual display processing on post data information after analysis and staff allocation.
Example 2
Referring to fig. 1-3: the embodiment provides a technical scheme based on the first embodiment: in the invention, the qualification verification unit comprises a credit evaluation module and a credit evaluation calculation model, wherein the credit evaluation module classifies the credit grade of the provider by using classification rules, and automatically sends the classification calculation result to the business merchant through a short message platform to play a certain role in warning and excitation;
the reputation evaluation calculation model judges the feasibility of the reputation evaluation calculation model by forming a decision analysis mode of a decision tree, and the reputation evaluation calculation model construction process comprises the following steps:
(1) Preprocessing the data set D, and dividing the data set D into m classesAnd n attributesA training data set and test data are selected.
(2) Calculation ofInformation entropy of (2) calculating various categories +.>The sum of the uncertainties that occur is given by:
(3) After the data set D of the division A is calculated, the information entropy EntropyA (D) and the information Gain ratio Gain (Ai) under the new classification condition are calculated according to the following formulas:and->
(4) Computing attributesIs a gain ratio of information of (a): />And
(5) And taking the attribute A with the maximum information gain rate as a root attribute, and splitting by taking the attribute A as a root node until a target class expected to be predicted is obtained.
The reputation evaluation module based on the decision tree establishes a decision tree according to the reputation record information of the provider, and the algorithm comprises the following steps: getTree (T, t_attribute), where Input is the merchant reputation information record set, T is the current candidate prediction attribute set t_attribute, output: the decision tree generated by the decision tree for classifying the reputation information of the commercial tenant classifies the reputation behavior of the commercial tenant, and the classified information provides effective data support for the management of the standardized commercial entity.
In the invention, the system employee entity comprises the following attributes: administrator number, name, password, mail, phone number, address, birthday, role, and whether fields have been deleted;
the common employee information entity includes attributes of: employee number, name, post, phone number, address, whether deleted or not, shop number;
the store information entity includes attributes of: shop number, name, address and responsible person.
In the invention, the inventory verification unit comprises a commodity ex-warehouse module, a commodity purchasing module and a commodity reminding module;
after logging in the system by a storeman, clicking the commodity in the inventory management tag to go out of the warehouse, automatically displaying other information of the commodity by the system after filling in the commodity name or commodity number, filling in the quantity required to go out of the warehouse, and updating the information to a data table after clicking out of the warehouse;
after logging in the system by a storeman, clicking the commodity purchase in the inventory management label, selecting commodity information to be purchased, and automatically generating a PDF purchase order after clicking the purchase;
after logging in the system by the warehouse personnel, if the inventory in the commodity is insufficient, the commodity is backlogged or the shelf life is about to be exceeded, the reminding word body is red, and after clicking the commodity reminding label, detailed reminding information including commodity information and reminding reasons is displayed, so that a purchase order can be generated for the commodity with insufficient inventory.
In the invention, the output end of a shop management unit is respectively connected with the input ends of a commodity management unit, a supplier management unit, a sales management unit and an employee management unit, the output end of the commodity management unit is connected with the input end of an inventory verification unit, the output end of the inventory verification unit is connected with the input end of a data analysis unit, and the output end of the data analysis unit is respectively connected with the input ends of a problem recording unit and a visualization unit;
the output end of the supplier management unit is connected with the input end of the qualification verification unit, the output end of the qualification verification unit is connected with the input end of the after-sales service unit, the output end of the after-sales service unit is connected with the input end of the data analysis unit, the output end of the employee management unit is connected with the input end of the work classification unit, and the output end of the work classification unit is connected with the input end of the visualization unit;
the input end of the sales management unit is connected with the input end of the contract management unit, the output end of the contract management unit is respectively connected with the input ends of the after-sale service unit and the inventory verification unit, and the query statistics unit is in bidirectional connection with the commodity management unit, the supplier management unit, the staff management unit, the contract management unit and the inventory verification unit.
In the invention, the output end of the supplier management unit is connected with the input end of the credit evaluation module, the output end of the credit evaluation module is connected with the input end of the after-sales service unit, and the credit evaluation calculation model transmits the calculation result to the credit evaluation module.
In the invention, the output ends of the contract management unit and the commodity management unit are respectively connected with the input end of the commodity ex-warehouse module, the output end of the commodity ex-warehouse module is connected with the input end of the commodity purchasing module, the output end of the commodity purchasing module is connected with the input end of the commodity reminding module, and the inquiry statistical unit is in bidirectional connection with the commodity ex-warehouse module, the commodity ex-warehouse module and the commodity reminding module.
The foregoing is only a preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art, who is within the scope of the present invention, should make equivalent substitutions or modifications according to the technical scheme of the present invention and the inventive concept thereof, and should be covered by the scope of the present invention.

Claims (8)

1. The visual merchant management platform based on big data analysis comprises a shop management unit, a commodity management unit, an inventory verification unit, a sales management unit, a contract management unit, an employee management unit and a supplier management unit, and is characterized in that the visual merchant management platform based on big data analysis comprises a shop management unit, a commodity management unit, an inventory verification unit, a sales management unit, a contract management unit, an employee management unit and a supplier management unit;
the shop management unit is used for uniformly managing information of shops, wherein the information comprises newly added shop information, modified shop information and logged-off shop information, and the newly added shops and the modified data information are respectively sent to the supplier management unit, the commodity management unit, the sales management unit and the staff management unit;
the commodity management unit is used for carrying out concentrated classified storage management on commodity information, wherein the commodity management unit comprises newly added commodity information, modified commodity information and logged-off commodity information, and sends the added and modified commodity data information to the inventory verification unit;
the inventory verification unit is used for verifying the commodity information of the commodity quantity information remained in the warehouse;
the sales management unit is used for managing the participation of sales personnel in commodity sales, and mainly comprises sales order generation and sales ex-warehouse statistics processing;
the contract management unit is used for carrying out unified storage management on contract information between enterprises and suppliers, and mainly comprises new contract information addition, contract information modification and contract reminding functions;
the staff management unit is used for carrying out centralized management processing on system staff and common staff, wherein the system staff refers to staff who apply the system except an administrator, the common staff refers to staff who work on a shop, and the staff cannot log in the system to operate, and the staff management unit comprises new staff information, modified staff information and logged-out staff information;
the supplier management unit is used for unified management of supplier information by an enterprise manager, wherein the unified management comprises new supplier information, modification of the supplier information and cancellation of supplier information processing.
2. The visual merchant management platform based on big data analysis according to claim 1, further comprising a query statistics unit, a qualification verification unit, a job classification unit, an after-sales service unit, a problem recording unit, a data analysis unit, and a visualization unit;
the inquiry statistical unit is used for carrying out statistical inquiry processing on shop information, commodity information, employee information, warehouse-in information, warehouse-out information, supplier information, contract information and sales information in the system;
the qualification verification unit is used for carrying out qualification evaluation verification processing on whether a product, service and management system of the newly added shop meets relevant standards, technical specifications or mandatory requirements of the product, service and management system, and sending verified data information to the after-sale service unit;
the after-sales service unit is used for carrying out satisfaction and service condition return visit processing on the sold commodity, and simultaneously carrying out after-sales service condition checking processing on the supplier verified by the qualification verification unit, and respectively sending the investigated data information to the data analysis unit and the problem recording unit;
the staff classification unit is used for carrying out post allocation marking processing on the staff newly added and changed by the staff management unit and sending the classified staff and staff data information to the visualization unit;
the problem recording unit is used for carrying out centralized collection and statistics processing on the after-sale problems known by the after-sale service unit and sending the counted problem data information to the visualization unit;
the data analysis unit is used for analyzing and processing the data and sales conditions of the sold goods, wherein the data analysis unit comprises visualization of sales data, associated mining of the sold goods, evaluation processing of suppliers through analysis of the sales data, and sending the analyzed data information to the problem recording unit and the visualization unit respectively;
the visualization unit is used for performing visual display processing on post data information after analysis and staff allocation.
3. The visual merchant management platform based on big data analysis according to claim 2, wherein the qualification verification unit comprises a credit evaluation module and a credit evaluation calculation model, the credit evaluation module classifies the credit grade of the supplier by using classification rules, and automatically sends the classification calculation result to the enterprise merchant through a short message platform to play a certain role in warning and excitation;
the reputation evaluation calculation model judges the decision analysis mode of the feasibility of the reputation evaluation calculation model by forming a decision tree.
4. The big data analysis based visual merchant management platform of claim 1, wherein the system employee entity includes attributes of: administrator number, name, password, mail, phone number, address, birthday, role, and whether fields have been deleted;
the common employee information entity includes the following attributes: employee number, name, post, phone number, address, whether deleted or not, shop number;
the store information entity comprises the following attributes: shop number, name, address and responsible person.
5. The visual merchant management platform based on big data analysis of claim 2, wherein the inventory verification unit comprises a commodity ex-warehouse module, a commodity purchasing module and a commodity reminding module;
after logging in the system by a storeman, clicking the commodity in the inventory management tag to be delivered, automatically displaying other information of the commodity by the system after filling in the commodity name or commodity number, filling in the quantity required to be delivered, and updating the information to a data table after clicking the delivery;
after logging in the system through a storehouse personnel, clicking the commodity purchasing in the inventory management label, selecting commodity information to be purchased, and automatically generating a PDF purchase order after clicking the purchasing;
after logging in the system by the warehouse personnel, if the inventory in the commodity is insufficient, the commodity is backlogged or the shelf life is about to be exceeded, the reminding word body is red, and after clicking the commodity reminding label, detailed reminding information including commodity information and reminding reasons is displayed, so that a purchase order can be generated for the commodity with insufficient inventory.
6. The visual merchant management platform based on big data analysis according to claim 2, wherein the output end of the merchant management unit is connected with the input ends of the commodity management unit, the supplier management unit, the sales management unit and the staff management unit, respectively, the output end of the commodity management unit is connected with the input end of the inventory verification unit, the output end of the inventory verification unit is connected with the input end of the data analysis unit, and the output end of the data analysis unit is connected with the input ends of the problem recording unit and the visual unit, respectively;
the output end of the supplier management unit is connected with the input end of the qualification verification unit, the output end of the qualification verification unit is connected with the input end of the after-sales service unit, the output end of the after-sales service unit is connected with the input end of the data analysis unit, the output end of the employee management unit is connected with the input end of the work class classification unit, and the output end of the work class classification unit is connected with the input end of the visualization unit;
the input end of the sales management unit is connected with the input end of the contract management unit, the output end of the contract management unit is respectively connected with the input ends of the after-sales service unit and the inventory verification unit, and the query statistics unit is in bidirectional connection with the commodity management unit, the supplier management unit, the staff management unit, the contract management unit and the inventory verification unit.
7. The visual merchant management platform based on big data analysis of claim 3, wherein the output of the vendor management unit is connected to the input of a reputation evaluation module, the output of the reputation evaluation module is connected to the input of an after-sales service unit, and the reputation evaluation calculation model transmits the calculation result to the reputation evaluation module.
8. The visual merchant management platform based on big data analysis according to claim 5, wherein the output ends of the contract management unit and the commodity management unit are respectively connected with the input end of the commodity ex-warehouse module, the output end of the commodity ex-warehouse module is connected with the input end of the commodity purchasing module, the output end of the commodity purchasing module is connected with the input end of the commodity reminding module, and the query statistics unit is in bidirectional connection with the commodity ex-warehouse module, the commodity ex-warehouse module and the commodity reminding module.
CN202310881161.5A 2023-07-18 2023-07-18 Visual merchant management platform based on big data analysis Pending CN116596488A (en)

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