International Journal For Multidisciplinary Research

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

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The Role of Artificial Intelligence in Advancing Supply Chain Management

Author(s) Ms. SANIKA ATUL INAMDAR, ANAND SURENDRA BORKAR
Country India
Abstract All over the globe, AI is changing industry after industry, and supply chain management is no different. Known AI technologies like machine learning, natural language processing, robotics, and predictive analytics deeply influence the way supply chains perform and can enable businesses to improve their productivity, lower their costs, and increase customer satisfaction. Moreover, AI is transforming SCM with accurate demand predictions, effective inventory control, advanced logistic solutions, multi-level transportation, and comprehensive risk management. With the use of advanced machine learning algorithms and big data, AI can enhance operations, improve decision making, and build agile supply chains. The above listed goals introduce the importance of AI adoption in SCM, and to achieve the goals, this research outlines AI’s most significant implementations in SCM, including but not limited to: demand forecasting, inventory allocation, transportation activities, and risk forecasting and management. This paper adequately captures the pros that any organization will enjoy after an AI adoption like better operational performance, reduced spending, and higher service quality.
In addition, the paper analyses how AI-powered systems pose challenges in supply chains such as data integrity, integration with older systems, cost issues, and insufficient workforce skills. Using case studies from leaders such as Amazon, Walmart, and UPS, this paper illustrates the impact of AI on SCM and provides a guide to organizations that want to adopt AI technologies. In the last part, the paper looks at new directions like autonomous supply chains, sustainability driven by AI, and the fusion of AI and blockchain which will further enhance the future of SCM. Emerging AI technologies will continue to provide greater opportunities to build complex, efficient, and flexible supply chains which makes the adoption of AI a necessity for companies wanting to maintain relevance in today's fast changing environment. To understand why AI and machine learning technology is evolving so rapidly in supply chains, this paper aims to inform practitioners and academics on the issues and possibilities in supply chain management.
Keywords Artificial Intelligence (AI), Supply Chain Management (SCM), Machine Learning (ML), Natural Language Processing (NLP), Robotics, Predictive Analytics, Demand Forecasting, Inventory Management, Transportation Optimization, Risk Management, Data Analytics, Big Data, Operational Efficiency, Logistics Solutions, AI Adoption, Supply Chain Optimization, Case Studies, Autonomous Supply Chains, AI and Blockchain Integration, Sustainability in Supply Chains
Published In Volume 7, Issue 2, March-April 2025
Published On 2025-03-14
DOI https://doi.org/10.36948/ijfmr.2025.v07i02.38992
Short DOI https://doi.org/g8936b
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