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 overall logistics costs and improve efficiency [1][3][12]. Group 1: Implementation 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 transport systems [3]. - The initiative encourages the development of diverse logistics data products and services tailored to specific sectors like cold chain and pharmaceuticals [3]. Group 2: Benefits to Consumers - The logistics data interconnectivity is already being piloted in 16 cities, leading to tangible benefits for consumers, such as faster delivery times and reduced costs [4][10]. - For example, the logistics process for imported beef has been streamlined, allowing it to reach consumers three days earlier and saving approximately 2000 yuan per container [7]. Group 3: Data Sharing and Collaboration - The first national logistics public data sharing list has been released, marking a significant increase in data sharing efforts [12]. - Key departments will share ten categories of data, including flight schedules and truck traffic, enabling logistics companies to optimize their operations [15]. - The establishment of a new state-owned enterprise, China Data Logistics, aims to create a unified logistics data network across various transport modes [19][27]. Group 4: Future Developments - The plan emphasizes the need for regional logistics data integration and supports the creation of a trusted data space for the logistics industry [21]. - China Data Logistics is focusing on eight application scenarios to ensure safe and efficient data flow within a trusted data space [24][27].
数据畅连成为物流“快跑”关键“加速器” 降本提速利好惠及百姓生活
Yang Shi Wang·2025-11-11 02:35