期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2017
卷号：5
期号：3
页码：5958
DOI：10.15680/IJIRCCE.2017.0503341
出版社：S&S Publications
摘要：In the days of the corner market, shopkeepers had no trouble understanding their customers andresponding quickly to their needs. The shopkeepers would simply keep track of all of their customers in their heads,and would know what to do when a customer walked into the store. But today’s shopkeepers face a much morecomplex situation. More customers, more products, more competitors, and less time to react, means that understandingyour customers is now much harder to do. Along with this the problem of inventory control in a store system involves avariety of activities aimed at a successful management of stocks of goods which are held in the system for future use orsale. This problem arises in many areas of the business including companies in production and commercial branchessuch as manufacturers, wholesalers and retailers. This system uses advanced data mining techniques for recognizingand tracking patterns within data so as to not only react but also anticipate the customer needs in advance. The Systemwould implement several inventory control algorithms developed on the basis of widespread mathematical models ofinventory systems. It also aims to categorize the products according to their demands which will help to identify theproducts which are more/less in demand. The system will help in making the decision regarding the product toretain/remove from the shells of supermarket store by performing sales forecasting for products.
关键词：Inventory control algorithms;data mining techniques;sales forecasting; Inventory.
