贵州省政协委员张晖：打造“数字物流大脑” 进一步降低贵州物流成本

Core Viewpoint - During the "14th Five-Year Plan" period, Guizhou has successfully reduced the proportion of total social logistics costs to GDP to a historical low of 14.3%, but there is still room for optimization compared to developed regions. The proposal to create a "Digital Logistics Brain" aims to further lower social logistics costs through data collaboration [1] Group 1: Infrastructure and Digital Logistics - Guizhou aims to enhance its logistics system by focusing on hardware upgrades and improving internal capabilities, emphasizing the development of a multimodal transport and digital intelligence framework [1] - The proposal includes establishing a unified logistics data sharing platform led by the National Development and Reform Commission and local logistics enterprises to integrate data from various logistics infrastructures and government departments [1] Group 2: Data-Driven Logistics Solutions - By utilizing big data analysis for optimizing logistics routes, capacity scheduling, and warehousing, the proposal addresses the "information island" issue in multimodal transport, enhancing the efficiency of intermodal transport [2] - The development of "digital intermodal + customized services" solutions is suggested to meet the transportation needs of Guizhou's specialty agricultural products and industrial goods, promoting efficient models like "railway fast pass" and "export direct pass" [2] Group 3: Talent Development and Innovation - The proposal includes the establishment of a "Digital Logistics Industry College" to train skilled logistics professionals through a model of school-enterprise cooperation, focusing on smart scheduling and logistics big data analysis [3] - A special fund for digital logistics innovation is suggested to support collaboration between local universities and research institutions in advancing technologies such as autonomous heavy trucks and logistics AI models [3]