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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM39546
Volume:
8 |
12 |
Dec 2024
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.
This project develops a machine learning-based approach for inventory demand forecasting to optimize stock levels, reduce wastage, and improve supply chain efficiency. It leverages advanced regression models and historical sales data to predict future demand with high accuracy, addressing real-world challenges like seasonality and cyclic trends in inventory management.
KEYWORDS
Publication Date
12/14/2024
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.
Funding Information
No funding information available for this research.
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