Product Analysis of a Reail Store Using Machine Learning Algorithms -Data Science Consideration.

Abstract

Many household products are sold by various subsidiaries of the retail store network which are geographically located at various locations. Supply chain inefficiencies will occur at different locations when the market potential will not evaluated by the retailers. Many times it is not easy for the retailers to understand the market condition at various geographical locations. The organization of retail store network has to understand the market conditions to intensify its goods to be bought and sold so that many number of customers get attracted in that direction. Business forecast helps retailers to visualize the big picture by forecasting the sales we get a general idea of coming years if any changes are needed then those changes are done in the retail store's objective so that success is achieved more profitably .In this paper we make an attempt by understanding the retail store business's driving factors by analyzing the sales data of Walmart store that is geographically located at various locations and the forecast of sales for coming 22 weeks is done. By sales forecasting the retail networks are supported so that the resources can be managed efficiently.