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The Role of Artificial Intelligence in Transforming Supply Chain Management
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Author(s): P. Suganya (Manakula Vinayagar Institute of Technology, India), Subramanian R. Siva (SRM Institute of Science and Technology, India), S. N. Ananthi (SA Engineering College, India), T. Thilagam (Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, India), J. Elavarasi (Vel Tech High Tech Dr. Rangarajan Dr. Sakunthala Engineering College, India), Gracious L. A. Anto (R.M.K. College of Engineering and Technology, India)and P. Girija (Panimalar Engineering College, India)
Copyright: 2026
Pages: 24
Source title:
Transformative Impact of AI in Supply Chain Management
Source Author(s)/Editor(s): Jabir Arif (Sidi Mohamed Ben Abdellah University, Fez, Morocco)and Fouad Jawab (Sidi Mohamed Ben Abdellah University, Fez, Morocco)
DOI: 10.4018/979-8-3373-0923-1.ch011
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Abstract
Artificial Intelligence (AI) is transforming Supply Chain Management (SCM) through intelligent, data-driven decision-making and process optimization. This chapter explores AI's impact on key SCM areas such as demand forecasting, inventory control, logistics, and risk management. Technologies like Machine Learning, NLP, and Computer Vision enhance efficiency and responsiveness, while integration with IoT and Big Data enables real-time insights. Applications include predictive analytics for inventory, route optimization in logistics, and fraud detection. Innovations like autonomous vehicles and AI-powered chatbots are reshaping operations and customer service. Despite notable benefits cost reduction, improved accuracy, and customer satisfaction challenges remain, including data privacy, integration issues, and skill gaps. The chapter also highlights emerging trends such as generative AI and reinforcement learning in SCM, emphasizing their potential to drive future advancements and operational excellence.
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