Integrating Logistics Management with Artificial Intelligence and IoT for Enhanced Supply Chain Efficiency

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发表日期：

2024年

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Ravishankar Krishnan,
Manoj Govindaraj,
Logasakthi Kandasamy,
Elantheraiyan Perumal,
Sen B Mathews

摘要

The integration of Artificial Intelligence (AI) and the Internet of Things (IoT) is reshaping the landscape of logistics management, offering unprecedented opportunities for optimization and innovation. This book chapter explores the dynamic intersection of AI and IoT in the logistics industry, shedding light on historical perspectives, current trends, and future predictions. Beginning with a historical journey, the chapter traces the evolution of AI and IoT applications in logistics, revealing how these technologies have matured from conceptual ideas to indispensable tools. It delves into the current state of affairs, showcasing how predictive analytics, real-time tracking, and sustainability initiatives are revolutionizing logistics operations, resulting in greater efficiency and customer-centric services. While the future promises remarkable advancements, it also poses challenges. Data privacy and security concerns loom large, requiring robust cybersecurity measures and adherence to regulations. The integration and implementation of AI and IoT must be seamless, minimizing disruptions and ensuring a smooth transition. Looking ahead, the logistics industry is poised for a transformative decade. Predictions indicate the widespread adoption of autonomous vehicles, blockchain for supply chain transparency, and data-driven decision-making. Sustainability will be at the forefront, as logistics companies embrace eco-friendly practices to reduce their environmental footprint. In conclusion, this book chapter offers a comprehensive overview of the integration of AI and IoT in logistics management. It provides insights into the past, present, and future of these technologies, highlighting their potential to redefine efficiency, transparency, and customer satisfaction in the logistics industry. As logistics management evolves, embracing innovation and strategic planning will be key to unlocking the full potential of AI and IoT.