无人车降本增效

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无人车加速落地,为快递网点抠出0.1元成本
第一财经· 2025-09-24 14:57
Core Viewpoint - The rapid adoption of functional unmanned vehicles in the logistics industry is significantly enhancing efficiency and reducing costs, although there are still areas needing improvement [3][4]. Summary by Sections Cost Reduction and Efficiency - Unmanned vehicles have shown a clear impact on cost reduction and efficiency in the logistics sector. In September 2025, Shenzhen reported 320 unmanned logistics vehicles operating, completing 900,000 deliveries and generating approximately 7.6 million yuan in commercial value [6][8]. - The average delivery volume per unmanned vehicle exceeds 200 packages per hour, outperforming traditional delivery vehicles. The cost per delivery using unmanned vehicles is around 0.06 yuan, compared to a reduction of about 0.1 yuan in human delivery costs [7][8]. Adoption and Market Growth - The adoption of unmanned vehicles is accelerating, with companies like Zhongtong and Jitu planning to increase their fleets significantly. Zhongtong has over 2,000 unmanned vehicles across 700 locations, while Jitu plans to add 3,000 vehicles this year [9][10]. - Monthly sales of unmanned vehicles have surged from 200-300 units at the beginning of the year to nearly 2,000 units currently, driven by price reductions and new payment models [10][11]. Financing and Cost Structure - The reduction in costs is linked to increased financing for unmanned vehicle manufacturers. Notable funding rounds include New Stone's 1 billion yuan in February 2025 and Jiu Shi's nearly 300 million USD in April 2025 [11]. - New payment models, such as hardware-software separation and rental options, have lowered the entry barrier for small logistics operators, easing their financial burden [11]. Future Improvements and Customization - There is a demand for enhanced features in unmanned vehicles, such as smart interaction capabilities for customers to modify delivery details directly on the vehicle. Customization based on regional needs is also sought after to improve operational efficiency [8][10].