Supply Chain Analytics & Logistics Management is a structured and in-depth resource that explores the intricate interplay between supply chain functions and logistics operations, while integrating the power of data analytics to drive better decisions. Designed for students, academicians, and industry professionals, this book serves as a comprehensive guide for understanding how modern supply chains are planned, executed, and optimized. The book comprises eight meticulously designed chapters that begin with an introduction to the fundamentals of supply chain management, gradually progressing to more complex areas such as strategic design, demand forecasting, and advanced analytics. Special focus is placed on technologies like ERP systems, IoT, blockchain, and artificial intelligence that are transforming the global supply chain landscape. In addition, the text discusses sustainable practices and risk management strategies, recognizing their importance in today’s environmentally and ethically conscious business environment. A standout feature of this book is its emphasis on supply chain analytics-covering descriptive, predictive, and prescriptive techniques. This equips readers with the ability to convert data into actionable insights and enhances their decision-making capabilities in real-world scenarios.