Integration of AI in Smart Logistics and Delivery Systems
Integration of AI in Smart Logistics and Delivery Systems
Uday Gurav
Student, Computer Science and Engineering, Parul University, Vadodara udaygurav7332@gmail.com
Mohammad Asif
Department of Computer Science and Engineering , Parul University , Vadodara India asif.mohammad37814@paruluniversity.ac.in
Abstract:The global logistics industry, valued at USD 8.4 trillion in 2022 and projected to reach USD 13.7 trillion by 2030, is undergoing a fundamental transformation driven by Artificial Intelligence (AI). This paper presents a comprehensive investigation into AI's multi-dimensional role across the logistics value chain — encompassing demand forecasting, dynamic route optimization, autonomous warehouse management, real-time shipment tracking, and predictive maintenance. We examine core AI paradigms including supervised learning, deep reinforcement learning, computer vision, and NLP, and analyse their deployment in case studies from Amazon Robotics, DHL SmartTruck, FedEx SenseAware, and Alibaba. Benchmarking across 14 documented deployments shows AI-integrated systems achieve 41.7% reduction in delivery time, 45.3% per-unit cost decrease, and 180% improvement in warehouse throughput. Persistent challenges — data quality, algorithmic bias, cybersecurity — are critically assessed alongside an emerging-technology roadmap covering drones, digital twins, federated learning, and quantum-enhanced optimization.