十部门发文推动数据开放互联降低物流成本

Core Viewpoint - The implementation plan aims to establish an open and interconnected logistics data resource mechanism to effectively reduce logistics costs across society [1][2][3]. Group 1: Logistics Data Sharing and Technology Integration - The plan emphasizes the digital transformation and intelligent upgrade of the logistics industry, promoting the online, visual, and data-driven nature of logistics basic services [2][3]. - It encourages the application of technologies such as IoT, cloud computing, big data, AI, and blockchain in logistics, aiming for real-time data collection and efficient aggregation [2][3]. - The first logistics public data sharing list has been released, marking the largest opening effort in recent years, with data shared across various frequencies including real-time and quarterly [3]. Group 2: Cost Reduction and Efficiency Improvement - The plan is seen as an effective means for systemic cost reduction, enhancing the integration of logistics with information and capital flows, and optimizing resource allocation [3][4]. - It highlights the importance of a high-efficiency circulation system to connect production and consumption, thereby improving production efficiency [4]. - The plan encourages the development of diverse data products and services tailored to specific logistics needs, enhancing the efficiency of transportation, warehousing, and customs processes [4][5]. Group 3: Challenges and Opportunities - Current logistics cost optimization faces challenges, including the contradiction between low costs in single segments and high costs across the entire chain [7]. - The plan aims to release the potential for industrial empowerment by promoting the integration of logistics data with industry data, optimizing structural costs and efficiency [7][8]. - The integration of new technologies with logistics is creating new possibilities for cost reduction and efficiency improvement, indicating a shift towards a high-quality logistics system [8].