Preface The rapid evolution of artificial intelligence is redefining every aspect of global supply chains-from the way data is collected and analysed to how decisions are made and operations are executed. As logistics networks become increasingly interconnected and complex, traditional systems are no longer sufficient to manage rising consumer expectations, real-time disruptions, and the scale of global trade. This shift has given rise to a new paradigm: cognitive logistics. This book, Cognitive Logistics Networks: Designing Intelligent Supply Flows in the AI Era, was written to explore this transformative era, where smart technologies and human expertise converge to create supply chains that learn, adapt, and optimize themselves. The goal of this book is to provide readers with a clear, comprehensive understanding of how AI, machine learning, robotics, IoT, decision intelligence, and autonomous systems are revolutionizing modern logistics. Throughout the chapters, I have integrated insights from academia, industry, and field-level innovation to present a balanced and practical perspective. The topics covered reflect the major forces shaping the future of logistics-from predictive demand sensing and real-time visibility to self-learning routing engines, autonomous warehousing, cognitive risk management, and ethical considerations for AI-driven networks. The book also emphasizes the evolving role of human expertise in an increasingly automated world, highlighting the importance of collaboration, ethical governance, and continuous learning. One of the central motivations behind this work is the need to bridge the gap between technological potential and operational reality. Many organizations today grapple with implementing AI effectively across their supply chains. This book attempts to simplify complex concepts and present them in a structured, actionable format that leaders, engineers, researchers, and students can apply in practical scenarios. I have also included case studies, real-world examples, tools, datasets, and frameworks to help readers understand not only what cognitive logistics is, but how it can be implemented responsibly and sustainably. The Appendix extends this effort by providing a curated set of resources for those who wish to explore these innovations further. As we move deeper into the AI-driven era, supply chains will continue to evolve into intelligent ecosystems capable of anticipating challenges before they arise, coordinating the