数据开放互联 物流如何跑出“加速度”？从“一块牛肉”看物流如何降本提速？

Core Viewpoint - The implementation plan released by multiple government departments aims to break down data silos in the logistics industry, promoting data openness and interconnectivity to reduce logistics costs across society [1][3]. Group 1: Key Measures - The plan includes expanding the application of IoT and AI technologies for real-time data collection and efficient aggregation [3]. - It aims to address data bottlenecks in multimodal transport, facilitating the implementation of unified shipping and packaging systems [3]. - Companies are encouraged to develop diverse logistics data products and services tailored to specific needs in cold chain and pharmaceutical logistics [3]. Group 2: Practical Benefits - The logistics data interconnectivity initiative is being piloted in 16 cities, including Wuhan, Ningbo, and Chongqing, demonstrating tangible benefits for consumers [4][6]. - For instance, the logistics process for imported beef from Brazil to Wuhan has been streamlined, reducing delivery time by three days and saving approximately 2,000 yuan per container in logistics costs [6]. Group 3: Data Sharing Initiatives - The first national logistics public data sharing list has been released, marking the largest effort in recent years to promote data sharing [8]. - Key data categories include flight schedules, vessel tracking, truck traffic on highways, and customs status, which logistics companies can utilize to optimize their operations [8]. Group 4: Establishment of New Entities - A new state-owned enterprise, China Data Union Logistics, has been established to build a "logistics data network" across eight application scenarios [10]. - The company is focused on creating a trusted data space for the logistics industry, facilitating the safe and efficient flow of vast amounts of data [10].