中国货运行业正加速迈向智能化时代。满帮等数字平台通过数据驱动的算法技术，将车货匹配时长大幅缩短至3至4分钟1，显著降低了传统物流中普遍存在的空驶率问题。这一变革打破了行业长期沿用的被动匹配模式，为全国现代化物流网建设提供了新的发展路径1。
当前，公路货运在中国货运体系中占据主导地位。2025年全国公路货运量达到432.9亿吨，占货运总量七成以上1。在这样庞大的运输规模下，算法优化的效果尤为显著。蔬菜种植户冯超的经历反映了这一转变的实际影响——曾经运输中的损耗常常超过一成，如今已大幅下降1。
为进一步推动物流系统现代化，数字平台正在探索为司机和货主配备AI助手，实现交易全流程的自主化1。这些创新举措得到了政策层面的支持，中共中央政治局会议已将加强物流网等规划建设列为重要任务1。
China's freight industry is undergoing a rapid digital transformation driven by algorithm-enabled platforms and data-driven matching systems. Platforms such as Manbang Group have leveraged algorithmic technology to reduce vehicle-to-cargo matching time to 3–4 minutes 1, a significant improvement that has substantially lowered empty-run rates and replaced the traditionally passive matching model in logistics operations.
In 2025, China's road freight volume reached 432.9 billion tonnes, accounting for over 70 percent of total freight transportation 1. This growing demand has accelerated the modernization of the national logistics network, with digital platforms playing a central role. Manbang and similar operators are exploring further automation by equipping both drivers and cargo owners with AI assistants to enable autonomous transaction execution throughout the entire transaction process 1. These technological advancements have produced tangible benefits for industry participants; vegetable farmer Feng Chao reported that transportation losses, which previously exceeded 10 percent, have declined significantly following the adoption of platform-based logistics solutions 1.
Policy support has reinforced these developments, with the Communist Party's Central Political Bureau calling for strengthened planning and construction of national logistics networks 1. This convergence of technological innovation and policy support signals a structural shift toward a more efficient, data-driven freight system across China.
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