Design And Implementation Of Revenue Monitoring And Commodity Recommendation System Of Chain Supermarket

At present,chain supermarkets are playing an important role in people's daily life with the comprehensiveness of their goods.With the continuous development of social economy and e-commerce,the number of chain supermarket stores gradually increases,as online shopping continuously goes down to people's life thoroughly.Physical chain supermarkets are facing serious dual challenges including online and offline competition.In order to adapt to the transformation of the society,model of the business is changing from the crude model to the fine model.Therefore,it is important that how to ensure that the operating revenue of all outlets in a timely return to the corporate headquarters of the account,improve the efficiency of fund collection,explore the potential consumer demand of critical customers,recommend products for customers,enhance customers' loyalty to chain supermarket and at the same time find out the hidden association rules between the goods in the daily operation of the process,in order to guide the distribution and display of goods in the supermarket and to realize the modernization management of chain supermarket.The purpose of this paper is to establish a set of chain supermarket revenue monitoring and commodity recommended system.The model of analysis and design of the system are described by UML modeling language,and in the overall architecture design,the system uses MVC three layers model based on the J2EE,it uses the SSH framework to implement the function,takes Tomcat 6 as the server middleware and uses ORACLE database to store the data.Collaborative filtering and association rules algorithm in data mining is used in the commodity recommendation module.The system focuses on the following two modules:(1)Revenue monitoring module:Through monitoring the chain supermarket outlets actual operating revenue data,network actually payment,outlets in payment and bank electronic receipt of audit,the realization of the monitoring of the outlets of the flow of funds.This can be found in a timely manner in the transfer of funds in the process of risk,while the risk value outnumbers the threshold value,the system will send a warning to the relevant personnel.In addition,the system shows the network business data to operator in the form of charts.(2)Commodity recommendation module:Through recording dynamically chain supermarket member of the commodity purchase records,at the same time in accordance with the members of the consumer's ability,system mines and analysis the goods that are interesting to customers.In addition,the system analysis the association rules on every single sales of commodities commodity in chain supermarket,finds out some daily shopping habits of public clients and displays to the operator in the form of statements.This system can find the funds security risks during the operation process,prompt operators to take timely preventive measures,make up some loopholes funds transfer process.At the same time,through analyzing the recommendation of potential customers in consumer demand and commodity association rules can facilitate the operator to develop marketing strategies,strengthen customer care and improve the supermarket chain operating efficiency and operating revenue.