Core Insights - JD Group and Changan Automobile have signed a strategic cooperation agreement to establish a comprehensive partnership [1] - The collaboration aims to enhance supply chain digitalization, reduce costs, and improve efficiency in the automotive manufacturing sector [1][5] Group 1: Strategic Partnership - The strategic cooperation will focus on supply chain digitalization, overseas supply chain collaboration, and AI capabilities [1] - JD Industrial has previously engaged in deep cooperation with Changan Automobile, utilizing the Tai Pu integrated supply chain solution [1][2] Group 2: Industry Context - Changan Automobile is a large state-owned enterprise with a history of 163 years and 41 years of automotive manufacturing experience [2] - The automotive manufacturing industry is recognized as a complex supply chain, crucial for modern industrial management [2] Group 3: Supply Chain Solutions - JD Industrial launched the "Smart Empowerment for Industries, Trillion Cost Reduction" initiative, introducing ten industry-specific solutions, with the automotive manufacturing solution being the first [3] - The Tai Pu integrated supply chain solution aims to optimize cost and efficiency through real-time response and precise collaboration [3] Group 4: Global Expansion - JD Industrial is expanding its digital supply chain globally, covering countries like Thailand, Vietnam, Hungary, and Brazil, to support Chinese automotive companies in international trade [4] - The company has developed a digital procurement platform that facilitates multi-country transactions, enhancing transparency and efficiency [4] Group 5: Technological Innovation - JD Industrial has created the JoyIndustrial supply chain model, leveraging extensive industrial data to serve over 10,000 key industrial enterprises [4] - The collaboration aims to leverage each party's strengths to create greater value for users and the industry [5]

【大河财立方 记者 杨霄 丁洋涛 文图】11.11的前台是消费者与全球商品的链接与狂欢，它的后台则是中国零售业技术迭代的秀 场。10月14日，在京举行的"京东11.11惊喜开放日"活动上，大河财立方记者关注到多项零售业的技术变革，以及供应链模式迭 代。不仅有数字人在客服、导购、跟单服务等方面大规模实战，也有AI技术在对无人化物流装备的统领与驾驭。与此同时，往 年极为热闹的"打折+提前预售"模式也在转向，"直降+现货现卖"正被越来越多的商家所接受。 "套娃式营销""奥数版补贴"大幅减少，现货现卖重回主流 今年的11.11大促从10月9日就已开场，它被电商平台拉伸至超过一个月。除了周期够长，它给消费者带来的变化是什么？ 在活动现场，记者观察到的第一个显性变化，是往年火热的"打折+提前预售"在积极转向"直降+现货现卖"。两种销售模式并无 优劣之分。前者，能为品牌商带来确定性订单和生产周期，减少商品备货的不确定性风险；后者，则为备货充足的品牌商，提 供了提前抢市场、争客源的优势机会。 当日京东首次公布11.11销售数据，自10月9日大促开场以来，在"直降+现货现卖"模式支撑下，该平台销售的家电、手机、数 码、电脑等3 ...

Core Insights - The eighth annual conference on clothing logistics and supply chain, hosted by the China Federation of Logistics and Purchasing, took place on July 24, 2025, in Shanghai, focusing on industry transformation and future development [1] - KJ Logistics, a subsidiary of Shenzhou Holdings, participated in the event, showcasing its innovative supply chain solutions and engaging with industry leaders [1] Group 1: AI and Supply Chain Transformation - KJ Logistics' Vice General Manager of Software and Intelligence, Tian Shen, delivered a presentation titled "AI Reshaping Supply Chain Operations in Footwear and Apparel," discussing the establishment of a large model application system [3] - The footwear and apparel industry faces challenges such as a vast number of SKUs, strong seasonality, and multi-channel operations, which complicate inventory management and decision-making [5][6] - AI can address these issues by integrating knowledge and data, enabling intelligent decision-making, and driving process reengineering [6] Group 2: Implementation of AI Solutions - KJ Logistics has developed a proprietary AI assistant, "Xiao Jin AI," which provides innovative solutions to industry challenges through three core intelligent applications: Data Assistant, Decision Assistant, and Customer Assistant [6][7] - The "3 + N" intelligent agent collaboration allows KJ Logistics to create a comprehensive supply chain model that significantly reduces workload in tasks such as bid writing by over 70% [7] - KJ Logistics has established deep partnerships with well-known brands like Semir, Li Ning, and 361°, providing customized solutions that meet their logistics and inventory management needs [7] Group 3: Data Standardization and Future Directions - During a panel discussion, Tian Shen emphasized the importance of data standardization and readability to support AI applications in the industry [7] - The parent company, Shenzhou Holdings, has developed the "Yanyun Infinity" intelligent software platform to address data integration and standardization issues, enhancing the foundation for AI effectiveness [7] - KJ Logistics aims to integrate AI deeply into the entire supply chain process, providing efficient digital services and exploring innovative technologies to reshape supply chain operations [9]