Design And Implementation Of Cash Collection System For Chain Supermarket Based On Big Data

In order to facilitate the people to buy daily necessities,a large number of retail supermarket chains have been set up everywhere.At the beginning,retail supermarket chains calculate the total price of goods by artificial memory and calculator.This method is not only inefficient,but also easy to calculate the wrong price.It causes economic losses to supermarket chains.In order to change the status quo and change the way of cash collection,cash register system can be introduced.In order to improve the efficiency of cash collection management,supermarket chains have introduced cash collection management system.The system is based on J2 EE platform for code development,the oracle database is used to store data.In order to realize the function of sales forecasting,large data technology is introduced,which can be used from historical sales data mining to sales association rules among commodities It also uses JXL technology to realize commodity import,and optimizes Oracle database performance in order to improve data access performance.On the basis of the demand investigation of supermarket chains,the demand scheme of cash register system is established.Next,based on the user demand as the design orientation,the function plate division of the cash register system is improved,and the cash register system is divided into the functions of the retail commodity management,the cash register management,the cash register report management and the system management.Then the function processing is conf irmed by the sequence diagram.Finally,it completes the program development of the cash register system,perfects the system integration of each module,packages and tests the software,and solves the problems and defects in the testing process.At present,the system has been deployed to a supermarket chain,compared with the traditional cash system,the sales volume of supermarkets has increased by 10% after the application of the system,and the management effic iency has been greatly improved.