Optimizing Supply Chain Management with AI-Driven Predictive Analytics: A Case Study Approach

Abstract

In the rapidly evolving business environment, optimizing supply chain management (SCM) is crucial for maintaining competitive advantage. This paper explores the application of artificial intelligence (AI)-driven predictive analytics in optimizing SCM processes. Using a case study approach, we examine how AI-powered predictive analytics can enhance decision-making, improve efficiency, and reduce costs in supply chains. The findings demonstrate the potential of AI to revolutionize SCM by providing actionable insights and enabling proactive management strategies.