2025年智慧物流的目标、主要内容和场景研究报告

Core Insights - Smart logistics is a key path to address traditional logistics challenges such as low efficiency, high costs, poor experience, and high energy consumption, leveraging technologies like IoT, big data, cloud computing, blockchain, and AI to create an automated and intelligent logistics system [1][11][12] Summary by Sections Goals of Smart Logistics - The core objectives focus on five dimensions: improving logistics efficiency, reducing overall logistics costs, optimizing customer service experience, achieving green sustainable development, and ensuring supply chain security [24][25][26][28][29] Main Content of Smart Logistics - The system architecture includes three main components: physical infrastructure (smart logistics hubs, smart channels, and intelligent terminal devices), intelligent transport tools (autonomous trucks and delivery vehicles), and operational platforms (digital management systems) [31][32][34] Key Technologies and Applications - Key technologies driving smart logistics include IoT, big data, AI, blockchain, and digital twins, with large models becoming a new engine for efficiency breakthroughs in areas like intelligent customer service and supply chain forecasting [45][46][49] Application Scenarios - Smart logistics has penetrated various scenarios such as multimodal transport, e-commerce instant logistics, industrial supply chains, and last-mile delivery, with companies like JD Logistics and Amazon demonstrating differentiated development paths [2][6] Development Trends - Future trends in smart logistics include deeper technology integration, green low-carbon operations, and service customization, requiring policy support, innovation focus, and enhanced safety and ecological collaboration [9][10]