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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM54896
Volume:
9 |
12 |
Dec 2025
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.
Warehouse Management Systems (WMS) have evolved from simple inventory tracking tools to intelligent, automated platforms that drive operational excellence. The integration of Artificial Intelligence (AI) and automation technologies marks the next phase of WMS evolution, significantly enhancing accuracy, efficiency, and decision-making in warehouse operations. This research paper explores how AI and automation technologies such as robotics, predictive analytics, computer vision, and Internet of Things (IoT) are transforming WMS performance. The study highlights their role in improving inventory accuracy, reducing human errors, optimizing resource allocation, and enabling real-time decision-making.
KEYWORDS
Publication Date
6/11/2025
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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