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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM19430
Volume:
7 |
4 |
Apr 2023
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
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
Publication Date
4/23/2023
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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No funding information available for this research.
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