在营业收入、用户规模和工场店数等方面稳居行业第一。 本文为IPO早知道原创 作者｜ Stone Jin 微信公众号｜ipozaozhidao 据 IPO早知道消息，途虎养车 于 8月21日发布了2 025年中期业绩报告。 今年上半年， 途虎养车 营业收入 78.8亿元（人民币，下同），同比增长10.5%，增速较去年加 快；毛利额19.8亿元；经调整净利润4.1亿元，同比增长14.6% 。 今年 上半年， 途虎用户数延续高速增长态势，市场份额进一步提升 。截至 2025年6月30日，注册 用户数1.5亿，同比增长18.8%；全渠道累计12个月的交易用户数2650万，同比增长23.8%；APP 平均月活用户数1350万，同比增长17.5%。用户基本盘快速增长的同时，用户复购率提升至64%、 用户服务满意度超95%维持高位，规模与口碑形成双向正反馈，共同助推收入加速增长。 截至 2025年6月30日，途虎养车工场店达到7205家，遍布320个地级行政区划、1855个县级行政 区划，覆盖了全国除澳门特别行政区、台湾省以外的所有省级行政区，通过深化下沉市场渗透，对乘 用车保有量在2万以上的县域覆盖率提升至70%。 为了 ...

近日，由世界人工智能大会（WAIC）组委会指导、壹沓科技主办的"智能体驱动供应链变革"分论坛于 上海世博中心举行。壹沓科技在论坛上宣布品牌升级为「ONEAIX壹沓」，并正式发布供应链领域首个 具备自主规划能力的垂类AI Agent智能体平台——运小沓数字员工4.0。该产品的面世，标志着供应链智 能化迈入全链路自主决策的新阶段。 壹沓科技技术副总裁庄学坤对观察者网阐述了壹沓科技在AI Agent领域的战略和实践。他提到，海运物 流涉及托书、提单、补料、报关等数十个环节，存在大量人工重复劳动。基于市场潜力、人工成本上升 及自动化提交需求，壹沓科技选择切入该赛道，构建"白领 + AI Agent"创新型办公模式。 论坛当天，近200名国际顶级专家学者、企业家、投资人、政府官员同聚一堂，共同见证行业发展方 向，深度探讨供应链物流领域的创新经验，探索创新方向，展示创新成果、结成创新伙伴，推动产学研 协同创新。 "现阶段不会自研基座模型" 论坛上，壹沓科技CEO卞晓瑜在主旨演讲中强调，未来的贸易不仅是货物的流动，更是思维和创意的流 动。随着大模型智能能力的不断突破，供应链物流行业将从当前的人主导、AI辅助模式，跃迁至AI ...

Group 1 - The core viewpoint emphasizes the importance of high-quality development of the platform economy in Zhejiang, aiming to establish six new benchmarks in various areas such as innovation, industry modernization, international cooperation, consumer vitality, harmonious labor relations, and modern governance [2][3] - Zhejiang has seen a significant increase in platform enterprises, growing from 310 to over 850 in two years, maintaining a leading position in terms of quantity and transaction volume nationwide [3] - The provincial government acknowledges the increasing competition in the platform economy, highlighting the need for strategic initiatives to maintain its leading position and address challenges such as market saturation and insufficient international competitiveness [3] Group 2 - Emerging technologies like AI and supply chain intelligence are identified as new growth points for platform enterprises, with a focus on encouraging transformation towards high-tech enterprises [4] - Alibaba plans to invest over 380 billion yuan in cloud and AI hardware infrastructure over the next three years, marking the largest investment in this sector by a private company in China [4] - By 2027, Zhejiang aims to have over 1,000 platform enterprises, with more than 50 reaching a scale of 10 billion yuan, and a total revenue of platform enterprises reaching 2.2 trillion yuan [4]

Core Insights - Zhejiang Province is emphasizing the high-quality development of its platform economy, aiming to establish itself as a strong province in this sector through a three-year action plan focused on creating six new benchmarks [1][2]. Group 1: Development Strategy - The six new benchmarks include: 1. Fostering technology-driven innovation 2. Building a modern industrial system through digital and physical integration 3. Enhancing international competitiveness through open collaboration 4. Stimulating consumer activity by balancing supply and demand 5. Promoting harmonious labor relations for public welfare 6. Establishing modern governance practices [1][2]. Group 2: Current Status and Challenges - As of now, Zhejiang has over 850 platform enterprises, a significant increase from 310 two years ago, maintaining a leading position in terms of both quantity and transaction volume nationally [2]. - However, the province faces increasing competition as more regions prioritize platform economies, making it challenging to retain its leading status [2]. Group 3: Technological Advancements - Emerging technologies such as AI and supply chain intelligence are identified as new growth points for platform enterprises, with a focus on encouraging transformation towards high-tech enterprises [3]. Group 4: Future Goals - Zhejiang aims to exceed 1,000 platform enterprises by 2027, with over 50 achieving a scale of 10 billion yuan in revenue, and a total platform enterprise revenue target of 2.2 trillion yuan [5].

Core Insights - The article emphasizes the importance of B2B industrial platforms in enhancing transaction efficiency and restructuring supply chain competitiveness in the context of the deep integration of digital and physical economies [1] - Statista reports that the global B2B e-commerce transaction volume surpassed $14.9 trillion in 2023, projected to reach $7.9 trillion by 2025, accounting for 35% of total B2B transaction volume [1] - Traditional B2B platforms face challenges such as information silos, fragmented processes, and data delays, leading to extended transaction cycles and increased costs [1] Technology Architecture - The core competitiveness of B2B industrial platforms lies in the stability and scalability of their technology architecture [2] - The company employs a "microservices + platformization" cloud-native architecture, supporting millions of concurrent accesses with a fault isolation rate of 90% [2] Distributed Microservices Decoupling - The platform is divided into over 200 independent microservices covering essential modules like product management and order processing [3] - In a project for an automotive parts company, the platform achieved over 5,000 orders processed per second with a response time of under 0.3 seconds [3] Data Platform Driving Decision-Making - The data platform is central to the intelligence of the B2B platform, integrating data from various systems to create a unified data warehouse [4] - For a chemical company, inventory data is synchronized every 5 minutes, reducing out-of-stock rates by 40% [4] Blockchain for Trust Assurance - The company utilizes Hyperledger Fabric blockchain technology to ensure transaction data integrity [5] - In a cross-border transaction for a building materials company, the blockchain feature reduced dispute resolution time from 30 days to 7 days, with a 60% decrease in dispute rates [5] Core Functions - The B2B platform focuses on three main goals: cost reduction, efficiency enhancement, and risk control, featuring six core functional modules [6] Intelligent Demand Forecasting and Procurement Collaboration - The platform uses AI frameworks to build demand forecasting models, improving inventory turnover by 25% and reducing procurement costs by 12% for an electronic components company [7] Electronic Contracts and Fund Escrow - The integration of an electronic signature system enhances contract signing efficiency by 90% and reduces dispute rates by 60% [8] - A cross-border e-commerce company reduced overseas payment cycles from 30 days to 7 days, with a 35% decrease in bad debt rates [8] Inventory Sharing and Logistics Tracking - The platform enables real-time inventory data synchronization, reducing out-of-stock rates by 40% for a fast-moving consumer goods company [9] - Logistics tracking features have improved temperature anomaly rates in cold chain transport from 5% to 0.5% for a pharmaceutical company [9] Quality Traceability and Credit Assessment - The platform implements a traceability system for product quality, improving issue resolution efficiency by 70% for a food company [10] - Credit assessment features have increased supplier collaboration efficiency by 60% for a machinery equipment company [10] Implementation Path - The implementation of the B2B platform follows a five-step process to ensure efficient project execution and continuous optimization [11] Industry Applications - The platform has been successfully applied in manufacturing, agriculture, and cross-border e-commerce, enhancing transaction efficiency and reducing costs [16] Future Trends - The company is developing an AI-native B2B platform to automate and enhance various processes, including contract generation and negotiation [21] - The exploration of industrial metaverse applications aims to create virtual showrooms and digital twin factories [22] - Integration of carbon footprint calculation tools supports companies in tracking emissions and meeting ESG requirements [23] Conclusion - The B2B industrial platform has evolved into a core competitive tool for enterprises, with the company assisting over 500 businesses in achieving supply chain intelligence upgrades, reducing average transaction cycles by 50% and operational costs by 30% [24]