基于AI的数字物流与供应链集成平台
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有效降低全社会物流成本,国常会四项要求如何落地|记者观察
Di Yi Cai Jing· 2025-10-20 02:03
Core Viewpoint - The Chinese government is taking significant steps to reduce logistics costs across the country, emphasizing the importance of logistics in enhancing economic efficiency and supporting the modern industrial system [1][4]. Group 1: Logistics Cost Reduction Measures - The State Council has outlined four key requirements to effectively lower logistics costs, focusing on improving quality and efficiency, building a modern logistics system, and enhancing multi-modal transport management [1][4]. - The logistics cost reduction initiative aims to decrease national logistics costs by approximately 400 billion yuan in 2024, with a significant portion of this reduction coming from transportation costs, which are expected to drop by 280 billion yuan [4]. Group 2: Current Challenges in Logistics - Major challenges include an unreasonable transportation structure, poor multi-modal transport connectivity, and a fragmented logistics market characterized by small and weak players [4][5]. - The current logistics transportation structure heavily relies on road transport, which accounted for 73.6% of freight volume in 2024, leading to high costs and energy consumption [4]. Group 3: Infrastructure and Technology Investments - There is a push for increased investment in logistics infrastructure, including warehouses and digital logistics systems, to optimize layout and enhance functionality [2][10]. - The integration of artificial intelligence and data sharing among logistics entities is being promoted to facilitate smarter logistics operations and improve efficiency [3][10]. Group 4: Successful Initiatives and Innovations - Various provinces have initiated successful logistics projects, such as the "public-rail-sea" multi-modal transport model in Shandong and the "cloud-based" logistics platform in Yunnan, which have significantly improved operational efficiency [6][7]. - AI-driven logistics solutions in Jiangsu have enhanced decision-making processes, resulting in a 10% increase in transaction success rates and a 5% reduction in transportation costs [8][10].