Overview

The logistics industry has entered a new era of efficiency and intelligence, driven by cutting-edge technologies such as generative AI, digital twins, and autonomous operations. These innovations revolutionize how supply chains are designed, managed, and optimized, enabling real-time decision-making, predictive modeling, and self-directed processes. Generative AI enhances planning and forecasting, digital twins provide continuous monitoring and simulation, and autonomous systems streamline operations. As global supply chains face growing complexity and pressure, the integration of these technologies accelerates the shift toward smarter, more resilient logistics networks. Accelerating Logistics Through Generative AI, Digital Twins, and Autonomous Operations explores how generative AI, digital twins, and autonomous operations transform the logistics industry by enhancing efficiency, agility, and real-time decision-making. It examines the impact of these technologies on supply chain optimization, operational resilience, and the future of automated logistics systems. This book covers topics such as large language models, robotics, and security and privacy, and is a useful resource for business owners, engineers, academicians, researchers, and scientists.

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