International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

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ROLE OF ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING IN SUPPLY CHAIN OPTIMIZATION

Author(s) Dr. Nubi Achebo, Mr. Olugbenga Olatunde Shokunbi, Mr. Enock Muma Chilumbu, Ir. David Rahadian
Country India
Abstract In today’s highly competitive global marketplace, supply chain management (SCM) faces unprecedented challenges, including fluctuating consumer demand, global disruptions, and increasing operational complexity. Traditional supply chain strategies, often reliant on historical data and heuristic decision-making, are proving inadequate in responding to dynamic market conditions. Artificial Intelligence (AI) and Machine Learning (ML) have emerged as transformative technologies capable of optimizing supply chain operations by enhancing demand forecasting, inventory management, procurement, logistics, and risk mitigation. This review comprehensively examines the role of AI and ML in supply chain optimization, highlighting key techniques, applications, industry case studies, and emerging trends. We analyze both algorithmic approaches—such as supervised learning, reinforcement learning, and neural networks—and practical implementations in diverse industries. The review further discusses challenges, including data quality, system integration, interpretability, and ethical considerations, while offering insights into future directions such as autonomous supply chains, digital twins, and human-AI collaborative decision-making. Our synthesis aims to provide a reference for researchers, practitioners, and policymakers seeking to leverage AI and ML for sustainable, efficient, and resilient supply chains
Keywords Artificial Intelligence, Machine Learnings, Supply Chains, E-Commerce, Forecast, Procurement
Field Business Administration
Published In Volume 8, Issue 1, January-February 2026
Published On 2026-01-17
DOI https://doi.org/10.36948/ijfmr.2026.v08i01.66751
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E-ISSN 2582-2160
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