The integration of Artificial Intelligence (AI) in supply chain management has emerged as a transformative force, reshaping traditional logistics, procurement, and distribution processes. This research paper explores the transformative influence of Artificial Intelligence (AI) on contemporary supply chain management. It conducts a thorough analysis of the implications of AI-driven automation and decision-making processes within the supply chain domain. By examining case studies, industry trends, and the integration of AI technologies, this study sheds light on the significant improvements in efficiency, accuracy, and adaptability achieved through the application of AI in supply chain operations. Additionally, it highlights the challenges and potential drawbacks associated with AI integration, such as ethical concerns and workforce adaptation. The paper provides valuable insights for businesses, policymakers, and researchers, guiding them in harnessing the full potential of AI in optimizing supply chain management processes.
AI, Machine Learning, Supply Chain Management, Automation, Logistics, Predictive Analytics