AI IN SUPPLY CHAIN AND LOGISTICS MANAGEMENT: INNOVATIONS, CHALLENGES, AND COLLABORATIVE OPPORTUNITIES

Abstract

The purpose of this paper is to explore the role and impact of Artificial Intelligence (AI) in Supply Chain Management (SCM), delving into its historical context, transformative leadership, academic-business partnerships, and interdisciplinary research in overcoming emerging challenges. It utilizes a review of scholarly articles, industry reports, and publicly available case studies alongside a comprehensive discussion of ethical implications and future research areas in AI and SCM. The paper uncovers AI's potential to enhance SCM's operational efficiency, predictability, and decision-making despite existing challenges. It emphasizes the power of an interdisciplinary approach in developing robust AI solutions. The paper identifies the need for deeper exploration into specific AI models, SCM sectors, regional contexts, and AI ethics in SCM. It highlights potential improvements in inventory management, logistics, transport, and supplier relationships through AI integration, alongside the significance of interdisciplinary research and collaboration. With more efficient supply chains, better product availability, affordability, sustainability, job creation, and positive economic impacts are anticipated. This paper offers a holistic view of AI's role in SCM, underscoring the necessity of interdisciplinary collaboration, co-creation between academia and industry, and ethical considerations. Its value lies in guiding researchers, industry practitioners, and policymakers in exploring and harnessing the potential of AI in SCM.