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双11大战更加轻松,总部最牵挂的还是一线网点?
3 6 Ke· 2025-10-22 12:11
Core Insights - The peak season of Double 11 is approaching, and the express delivery industry is experiencing a slowdown in business growth compared to last year due to rising prices in grain-producing areas, but it is still expected to reach new highs [1] - AI technology has transitioned from concept to full implementation, enhancing the efficiency and accuracy of the business chain for express delivery companies during the peak season [2] Group 1: AI and Technology Implementation - YTO Express launched its "Smart Routing" system in August, integrating big data, AI, and GIS technology, which reduced routing analysis time from 5 days to 1 day, significantly improving transportation efficiency [4] - YTO's AI customer service can automatically handle customer inquiries and claims, reducing the workload on human customer service by 16% year-on-year in the first half of 2025 [4] - This year marks the first large-scale deployment of unmanned vehicles during Double 11, with unmanned vehicles operating in various scenarios, achieving rapid delivery times [4][6] Group 2: Infrastructure and Capacity Enhancement - Jitu Express has accelerated capacity construction, upgrading 57 transfer centers and over 1,000 distribution points, investing in more than 700 sets of automated equipment to enhance operational capabilities [9] - Zhongtong Express has launched new projects in northern and southwestern regions, while Shentong has completed nine capacity projects before the peak season [11] - Yunda has also opened several logistics hubs, enhancing package handling efficiency and customer satisfaction [11][13] Group 3: Service Quality and Customer Experience - The express delivery industry is shifting from price wars to value wars, focusing on service quality during Double 11, which tests delivery capabilities and after-sales service [15] - Companies are prioritizing consumer logistics experience and enhancing B2B market focus through systems like "Customer Manager" to retain clients with customized service models [15]