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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM45223
Volume:
9 |
4 |
Apr 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.
Artificial Intelligence (AI) is rapidly transforming supply chain management, optimizing processes from demand forecasting to logistics and inventory control. By leveraging machine learning, predictive analytics, and automation, AI enhances efficiency, reduces costs, and improves resilience in increasingly complex supply chains. This paper explores the multifaceted role of AI in streamlining operations, enabling real-time decision-making, and fostering adaptive supply chain networks. AI’s ability to analyze vast datasets, identify patterns, and predict disruptions allows organizations to anticipate and mitigate risks, optimize resource allocation, and enhance customer satisfaction. The implementation of AI-driven solutions is reshaping traditional supply chain models, paving the way for intelligent, responsive, and sustainable supply chain ecosystems.
KEYWORDS
Publication Date
4/19/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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The authors declare no conflict of interest related to this research work.
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