Core Insights - The express delivery industry in China has shown significant growth, with a total of 861.8 billion items delivered in the first five months of the year, marking a 17.6% year-on-year increase [1] - The revenue from the postal industry reached 718.73 billion yuan, reflecting an 8% increase, while express delivery revenue was 592.46 billion yuan, up by 10.3% [1] Business Volume Growth - In the first five months, same-city express delivery reached 6.42 billion items, a 5.8% increase; intercity express delivery was 70.69 billion items, up 21.5%; and international/overseas express delivery totaled 1.66 billion items, growing by 22.4% [2] - The revenue share of express delivery in eastern, central, and western regions was 74%, 15.5%, and 10.5% respectively, with corresponding volume shares of 71.5%, 19.4%, and 9.1% [2] - The central and western regions saw slight increases in revenue and volume shares compared to the previous year, indicating a shift in logistics dynamics [2] Technological Advancements - Express delivery companies are investing in smart warehousing and intelligent sorting facilities, enhancing overall logistics efficiency and reducing costs [2] - The integration of AI and automation technologies is being prioritized, with initiatives to deploy unmanned vehicles and drones for delivery, improving service efficiency [4][5] - Companies like JD Logistics and SF Express are actively utilizing unmanned vehicles in multiple cities, aiming to enhance delivery efficiency and reduce operational costs [4][5] Market Trends - The growth in express delivery volume is attributed to the digitalization of consumption and changes in the supply chain, with online shopping becoming a prevalent lifestyle [3] - Policies aimed at boosting domestic demand, such as "old-for-new" exchange programs, are contributing to stable growth in online retail sales, further driving express delivery volumes [2][3]

Group 1 - The integration of artificial intelligence (AI) in logistics has significantly improved resource allocation and operational efficiency, leading to a reduction in transportation and sorting costs by 12.8% and 10% respectively for Zhongtong Express in Q1 [1] - The average delivery time for express services has decreased to 54.34 hours, a reduction of 4.35 hours year-on-year, while customer satisfaction scores have increased to 84.8, up by 1.2 points [1] - The continuous enhancement of technology innovation, particularly in AI, is crucial for the rapid and efficient development of the Chinese express delivery industry [1] Group 2 - AI technology is widely applied across various logistics processes including collection, sorting, transportation, delivery, warehousing, customer service, and management, significantly enhancing operational efficiency at all levels of the logistics system [2] - The introduction of smart sorting, security, and warehousing technologies has improved processing efficiency at county-level distribution centers, with some centers achieving a processing capacity of 35,000 packages per hour [2] - The cold chain logistics sector is becoming more sophisticated, utilizing digital tools for temperature control throughout the delivery process, which is essential for maintaining the quality of perishable goods [2] Group 3 - Technologies such as drones and unmanned vehicles are being scaled for use in last-mile delivery, with significant deployments already in place, including over a thousand unmanned vehicles covering more than 180 cities [3] - The postal and express delivery industry is recognized as a key area for AI application due to its rich application scenarios and vast data resources, prompting the issuance of national standards to guide industry upgrades [3] - Future initiatives will focus on the integration of AI in postal services, including the promotion of drones, unmanned vehicles, and smart cloud warehouses for large-scale application [3]

Core Viewpoint - The National Postal Service aims to accelerate technological development in the postal industry through a comprehensive set of guidelines, focusing on innovation, market orientation, and collaboration between academia and industry, with specific targets set for 2027 and 2035 [1][2]. Group 1: Technological Development Goals - By 2027, the postal industry aims to enhance its R&D investment, improve the scale of technology transfer, and significantly elevate the level of innovation [1]. - By 2035, a complete technological innovation system is expected to be established, with enhanced innovation capabilities and a pool of leading talent and research institutions [1]. Group 2: Key Strategies for Innovation - The guidelines emphasize the establishment of a robust R&D system, high-quality technology product systems, and a comprehensive application system for technology transfer [1]. - The postal industry will focus on service innovation, smart development, safety, green initiatives, and management innovation to drive overall industry growth [1][2]. Group 3: Current Industry Trends - The postal industry is increasingly prioritizing artificial intelligence, leveraging vast data resources and application scenarios to enhance operational efficiency across various processes [2]. - Technological innovations are being applied in logistics systems at the county, town, and village levels to support rural revitalization and increase farmers' income [2]. Group 4: Implementation Plans - The National Postal Service plans to strengthen technological innovation during the 14th Five-Year Plan period, focusing on establishing a market-oriented innovation system led by enterprises [3]. - Specific initiatives include the integration of AI in postal services, promoting the use of drones and automated vehicles, and conducting pilot projects for new technologies and models [3].

徐华荣说，邮政业拥有丰富的应用场景、海量的数据资源和广阔的市场空间，是人工智能应用的重要阵 地。当前，人工智能技术在邮件快件收寄、分拣、运输、投递、仓储、客服、管理等环节都得到了积极 应用，对生产与服务、管理与决策发挥了重要作用。 例如，邮政业智能安检系统解决了传统安检设备成像效果差、检出率低、安检速度慢等突出问题，大幅 提升了安检效率、降低了安检成本；通用寄递地址编码加速推进邮政业数字化智能化转型，更好实现企 业互通、全链贯通，切实保护用户信息。 徐华荣介绍，"十五五"期间，国家邮政局将印发人工智能+邮政快递融合发展实施意见，深化人工智能 技术和产品在行业的推广应用，加快推动无人机、无人车、智能云仓在行业规模化应用，促进行业低空 经济发展。(完) 中新社北京5月30日电 (记者 刘育英)中国国家邮政局政策法规司副司长徐华荣30日在北京表示，当前人 工智能技术在邮件快件收寄、分拣、运输、投递、仓储、客服、管理等环节都得到了积极应用。 国家邮政局当日在北京举行专题新闻发布会，解读《国家邮政局关于加快邮政业科技发展的意见》(下 称《意见》)。2025年2月，国家邮政局印发《意见》，提出以"自动化迭代、信息化革新、 ...