The Application of Intelligent Logistics Systems in Supply Chain Management and Its Challenges: Case Studies of Automated Warehousing and Unmanned Delivery

This work explores the application of intelligent logistics systems in supply chain management, focusing on automated warehousing and unmanned delivery technologies. These systems integrate advanced technologies like AI, IoT, and big data analytics to optimize efficiency, reduce costs, and enhance decision-making. The discussion covers the importance of automated warehousing in improving storage, retrieval, and inventory management, as well as the relevance of unmanned delivery in overcoming last-mile logistics challenges. Key operational challenges such as high initial costs, infrastructure requirements, and workforce adaptation are examined in detail. The work also identifies the critical components that make up intelligent logistics systems, emphasizing the synergy between IoT, automation, AI, and cloud computing. The insights provided aim to shed light on how businesses can leverage these technologies to build resilient, adaptive supply chains in an increasingly competitive environment.