STORE ITEM DEMAND FORECAST

STORE ITEM DEMAND FORECAST

B. Radhika1, G. Sai Teja2, M. Sri Lekha3, J. Sirisha4 .

B.Tech Students, Department of Information Technology1,2,3

Assistant Professor, Department of Information Technology4

Prasad V Potluri Siddhartha Institute of Technology, Vijayawada

Andhra Pradesh, India.

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Abstract: Demand forecasting plays in vital in total’s world for the retail business. Proper demand management of store items directly impacts the efficiency of running a retail business. As the retail stores are in direct contact with the clients (shoppers) demands on a daily basis, demand forecasting is a key driver for such businesses. The goal of the project is to identify the best analytical method to solve such problems. The project uses the Deep Neural Network Algorithm as well as Recurrent Neural Network Algorithm.  In this project, the goal is to forecast 3-month sales for 50 different products in 10 different stores when given 5 years of store item sales data.

Keywords:  RNN, DNN.