Design And Implementation Of Supermarket Sales Management System Based On Apriori Algorithm

With the rapid development of computer technology and the advent of the information age,the retail industry uses computer technology to manage and maintain information and data of various types of goods within enterprises,which greatly improves work efficiency and work accuracy.The application of computer technology in the retail industry has ended the era of manual use of paper and pens to manage goods and employee data.At the same time,it also saves a lot of financial resources and manpower,which can quickly and accurately reflect the quantity of goods and the status of purchases,sales and inventory.Under this background,the supermarket industry has developed rapidly.Although the current application of computer management information systems in the supermarket industry has become more and more mature,most enterprises still face problems such as incomplete and advanced information technology systems and high operating costs.In addition,hyper-retailing generates a large amount of data during the business process,such as sales data and member information.The current supermarket business system simply stores and views it,and does not analyze and mine these data in a deeper level.In view of this situation,this article combined with the actual situation of small and medium-sized supermarkets,designed and developed a supermarket management information system that added the functional analysis module of commodity associations in addition to the basic functional requirements of the supermarkets.Analysis of sales data.The system uses C /S architecture mode,adopts Visual Studio integrated development environment and C #programming language for client-side design,uses SQL Server 2017 for server-side database design,and uses the classic Apriori association rule algorithm to realize the core function of sales data association analysis module.By studying the principle of Apriori algorithm and its application in other fields,an efficient data conversion process can be formulated.The system can also customize parameters such as date range,minimum confidence,and support to get product correlation results for different needs.Supermarket managers can rationally formulate corresponding sales strategies based on the results obtained by the correlation analysis module to achieve the purpose of increasing sales and profits.The design and implementation of each functional module of the system are completed in combination with the existing business processes,and the analysis of the relatedness of the products realized at the same time can well meet the needs of supermarket management personnel.