Transformative Impact of AI in Supply Chain Management

Jabir Arif, Fouad Jawab

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English

Business Science Reference
06 August 2025

Production & quality control management; Distribution & warehousing management; Artificial intelligence

Artificial intelligence (AI) plays a transformative role in shaping the future of supply chains. AI-driven technologies, including machine learning (ML), predictive analytics, and autonomous systems, are revolutionizing traditional supply chain processes. They enable real-time decision-making, demand forecasting, risk management, and end-to-end visibility for Supply Chain 4.0. As a result, AI can enhance supply chain resilience, sustainability, and efficiency in the digital and increasingly globalized market. The strategic application of AI will not only reduce operational costs but also contribute to long-term organizational resilience and sustainability goals. Transformative Impact of AI in Supply Chain Management has broad implications for multiple sectors, providing deep insights into the transformative potential of AI in supply chain operations. It highlights the role of AI in achieving sustainability, optimizing routes and inventory management, and creating agile supply chains that can respond dynamically to market fluctuations and disruptions. Covering topics such as industrial prosperity, integrated business planning (IBP), and social sustainability, this book is an excellent resource for logistics specialists, supply chain managers, industrial engineers, operations executives, technology developers, professionals, researchers, scholars, academicians, and more.

Edited by: Jabir Arif, Fouad Jawab
Imprint: Business Science Reference
Country of Publication: United States
Dimensions: Height: 254mm, Width: 178mm, Spine: 27mm
Weight: 1.084kg
ISBN: 9798337309231
Pages: 450
Publication Date: 06 August 2025
Audience: College/higher education , Professional and scholarly , Primary , Undergraduate
Format: Hardback
Publisher's Status: Active

Jabir Arif received the M.Sc., Engineering, Ph.D., HdR degrees in Industrial Engineering and Logistics from the National School of Applied Sciences Tangier, Faculty of Sciences and Technologies Fez, in 2008, 2010, 2016, and 2020 respectively. He is currently serving as an Associate Professor at Sidi Mohamed Ben Abdellah University, Morocco. He began his career as a Production Planner within a multinational company operating in the automotive wiring harness. Afterward, he was appointed as State Engineer at the Ministry of Public Services and Modernization of Administration where he was in charge of the national major projects. Jabir Arif's main research area is Supply Chain Management & Logistics, Outsourcing of Logistic Activities, Risk Assessment, IoT, Artificial Intelligence, and Industrial engineering. Apart from teaching and research, he is acting as a reviewer in many ranked journals and conferences. He served as a Technical Committee member of several international conferences, tracks, and workshops. Jawab Fouad is a Full Professor at the Higher School of Technology of the Sidi Mohamed Ben Abdellah University in Fez, Morocco. He is responsible for the research team ""Industrial Management and Logistics"" (MILOG), vice-director of the ""Industrial Technologies and Services"" (IST) laboratory and former director of the laboratory ""International Management, Decision Techniques and Logistics"" (MIDLOG). He has directed the Department of Science and Management Techniques (STG) as well as the University Diploma of Technology (DUT) ""Logistics and Transport Management (GLT)"" and currently directs the Professional License ""LOGISTICS"". He is the Founder of the international conference on logistics and supply chain management (LOGISTIQUA).