The logistics and supply chain function has entered a defining era-one shaped not only by globalization and digitalization, but by the transformative power of Artificial Intelligence (AI) and Generative AI. Organizations are moving beyond traditional automation toward intelligent systems that can predict demand fluctuations, optimize transportation networks, orchestrate warehouse operations, and simulate complex supply chain scenarios in real time. Generative AI adds a new dimension by enabling advanced decision support, dynamic scenario modeling, intelligent documentation, and human-AI collaboration that enhances strategic thinking. As volatility, uncertainty, and complexity become the norm, AI is no longer optional; it is foundational to building resilient, responsive, and future-ready supply chains.
This book provides a structured and practical exploration of AI and Generative AI across the logistics and supply chain landscape. Beginning with foundational concepts and core technologies, it progresses through demand and supply planning, transportation, warehousing, and advanced decision-support systems, before examining the future trajectory of intelligent supply networks. Designed for students, practitioners, researchers, and industry leaders, the book combines conceptual clarity with application-oriented learning, reinforced through capstone, research, and industry projects. Its goal is to equip readers not only to understand AI-driven transformation, but to lead it responsibly and strategically in real-world supply chain environments.
