新年伊始，AI应用概念再掀热度，有行业人士直言，2026年将是AI走向落地应用的元年。事实上，人 工智能技术已在快递行业内广泛落地和应用，并构筑了企业经营发展的核心竞争力。 圆通亦持续赋能加盟网点提升管理效能，其推出的"网点经理智能助手"通过智能数据分析，助力加盟商 精准把控运营状况，科学优化管理策略，实现网点运营精准管控。 值得关注的是，圆通速递打造了覆盖全链路的智能化矩阵这一"最强大脑"，在揽派、中转、运输、客 服、管理等各个环节赋能，实现了服务效率与客户体验的同步提升，目前，深度集成的AI系统已成为 圆通快递高效运作的最大底气。 多场景AI应用的协同发力，使圆通在高并发业务场景下保持服务稳定性，实现了提质降本增效，亦为 消费市场顺畅运转提供了有力支撑。 在揽派前端，圆通"业务员AI助手"可实现批量外呼、分堆播报等功能，并主动推送相关指示，助力业务 员高效完成工作任务，同时，通过该系统智能路径规划，可减少配送延误与错派。此外，AI助手可助 力新员工快速掌握业务流程，降低培训成本。数据测算，该助手每日可帮助业务员节省30-60分钟工作 时间，直接提升终端服务效率。 中转环节，"数字孪生"系统已在圆通全国集运 ...

Core Viewpoint - YTO Express reported steady growth in its financial performance for Q3 2023, with revenue and net profit increasing year-on-year, driven by a rise in express delivery volume and unit price recovery in the industry [1] Financial Performance - In Q3 2023, YTO Express achieved operating revenue of 18.272 billion yuan, a year-on-year increase of 8.73% - The net profit attributable to shareholders reached 1.046 billion yuan, up 10.97% year-on-year - For the first three quarters, the company reported total operating revenue of 54.156 billion yuan and a net profit of 2.877 billion yuan [1] Business Volume - YTO Express handled 22.584 billion express parcels in the first three quarters, marking a year-on-year growth of 19.40%, surpassing the industry average growth rate by 2.2 percentage points - In Q3, the express delivery volume grew by 15.1% to 7.721 billion parcels, maintaining a leading position in the industry [1] Industry Trends - Since August, the express delivery industry has implemented measures to counteract "involution," leading to adjustments in front-end collection pricing and a gradual recovery in delivery prices - The average revenue per parcel for YTO Express was 2.15 yuan in August, an increase of 0.07 yuan from July, and in September, it reached 2.21 yuan, marking the first month of year-on-year growth [1] Digital Transformation - YTO Express has been advancing digital transformation and smart development, applying AI technology across its operations - The "Smart Routing" system integrates big data and AI to optimize logistics routes, reducing route analysis time from 5 days to 1 day and saving over 100 million yuan in annual capacity costs [2] Operational Efficiency - The "Digital Twin" system has been implemented across all national collection centers, enhancing real-time monitoring and management of package flow, which improves sorting efficiency and identifies potential risks [2] Last-Mile Delivery - The "AI Assistant for Couriers" improves the efficiency of last-mile delivery by assisting couriers with sorting, loading, and handling tasks, saving them 30 to 60 minutes of work time daily [3]

Core Viewpoint - YTO Express reported a solid growth in its financial performance for Q3 2025, with significant increases in revenue and profit, driven by a rise in express delivery volume and unit price recovery in the industry [1][2]. Financial Performance - In Q3 2025, YTO Express achieved operating revenue of 18.272 billion yuan, a year-on-year increase of 8.73% - The total profit for the quarter was 1.244 billion yuan, up 39.31% year-on-year - The net profit attributable to shareholders was 1.046 billion yuan, reflecting a year-on-year growth of 10.97% - For the first three quarters, the company reported total operating revenue of 54.156 billion yuan and a net profit of 2.877 billion yuan, which remained relatively stable year-on-year [1]. Business Volume - In the first three quarters, YTO Express handled 22.584 billion express parcels, marking a year-on-year growth of 19.40%, surpassing the industry average growth rate by 2.2 percentage points - In Q3, the express delivery volume increased by 15.1% to 7.721 billion parcels, continuing to lead the industry in growth [1]. Industry Trends - Since August, the express delivery industry has been implementing measures to counteract "involution," leading to adjustments in front-end collection prices and a gradual recovery in unit prices - YTO Express reported an average revenue per parcel of 2.15 yuan in August, a 0.07 yuan increase from July, and 2.21 yuan in September, marking the first month of year-on-year growth in unit price [2]. Digital Transformation and Innovation - YTO Express has been focusing on digital transformation and intelligent development, enhancing its ESG initiatives to support long-term high-quality growth - The company has implemented AI technology across its operations to improve service quality and operational efficiency [2]. Intelligent Systems - The "Smart Routing" system integrates big data and AI to optimize logistics routes, reducing route analysis time from 5 days to 1 day and saving over 100 million yuan in annual capacity costs - The "Digital Twin" system monitors package flow in real-time across national collection centers, improving sorting efficiency and operational stability [3]. End-Delivery Innovations - The "AI Assistant for Couriers" enhances the efficiency of delivery personnel by utilizing voice and image recognition technologies, saving 30-60 minutes of work time daily for couriers - These intelligent applications not only reduce costs but also improve customer experience and service quality, strengthening the company's competitive advantage [4].

Core Insights - The article highlights the emergence of numerous original and leading technological achievements in China during the "14th Five-Year Plan" period [1] - It features the successful completion of YTO Express's self-developed intelligent routing system, which integrates big data and AI technologies to optimize logistics transportation paths [5][6] Group 1: Technological Achievements - The "14th Five-Year Plan" has led to significant technological advancements in China, showcasing innovative and impactful results [1] - The article promotes a campaign to showcase these hard-core achievements, inviting public engagement [1] Group 2: YTO Express Intelligent Routing System - YTO Express's intelligent routing system utilizes a sophisticated algorithm model for precise calculation and dynamic optimization of logistics routes [5] - The system integrates vast historical logistics data with real-time traffic information, enhancing decision-making for drivers by providing multi-dimensional comparisons of routes based on cost and efficiency [6] - It addresses traditional logistics challenges such as resource waste and slow response times, significantly improving delivery speed and order processing capabilities [6] - The implementation of this system has reduced routing analysis time from 5 days to 1 day and is expected to save over 100 million yuan in annual capacity costs [6]