Core Insights - The integration of AI into e-commerce is accelerating, with companies like JD.com and Taobao focusing on deep integration of large models into their business operations [1][2] - JD.com has introduced its e-commerce AI architecture, Oxygen, and plans to launch more intelligent features in its app, including smart shopping guides and 3D product presentations [1] - Various AI models have been developed based on JD.com's JoyAI model, serving as the "brain" and decision-making center for intelligent e-commerce [1] Group 1: JD.com's AI Initiatives - JD.com is developing functional intelligent agents for product display, procurement, customer service, and marketing to enhance the smart e-commerce platform [1] - The company has opened its multi-agent collaboration framework, OxyGent, and the Oxygent-9N-xLLM model inference engine for future technological openness [1] - JD.com is also focusing on enhancing product presentation technology, particularly in XR and 3D fields, to create virtual try-ons and 3D live streaming [2] Group 2: Industry Trends and Competitors - Other e-commerce platforms like Taobao and Meituan are also accelerating their AI initiatives, with Taobao launching features like "AI Assistant" and AI price comparison tools [2] - Meituan has introduced an independent C-end intelligent agent, "Xiao Mei," focusing on local life services and providing intelligent interaction based on user preferences [2] - The AI e-commerce sector is still in its early stages, with companies exploring different strategies and competitive advantages based on their unique business models [3] Group 3: Challenges and Future Directions - The main challenge in scaling 3D content creation lies in the time and cost involved in producing 3D models, which can take months and be expensive [2] - The phenomenon of "hallucination" in large models remains a significant issue, making it difficult to achieve definitive results in certain applications [3] - The future of AI in e-commerce will likely involve deeper multi-modal interactions, cross-scenario data integration, and the establishment of new industry norms regarding AI recommendations and user privacy [3]

9月25日，2025京东全球科技探索者大会召开。会上，京东集团高级副总裁、京东集团产品委员会主席胡喜首次对外公布电商创新AI架构体系Oxygen。该体 系依托Joy AI大模型打造丰富的系统能力和多元化智能体，通过AI技术构建电商购物、供应链管理等智能应用场景，系统展现了AI技术在京东电商业务中的 应用，描摹出京东零售面向未来的AI电商蓝图。 胡喜认为，用户真正需要的是"举重若轻"的智能体验，既能在日常消费中保持"轻购物"的流畅，又能在重要购物决策时获得"慢购物"的深度支持。京东零售 在AI电商领域的探索将深度融合多模态交互方式，"在保留传统沉浸式浏览、下滑推荐和精准搜索体验的基础上，进一步贴合人脑的决策模式，兼顾快思考 与慢思考，实现直觉与理性的结合。" AI电商，让效率服务体验 "AI电商不仅是效率革命，更是体验革命。"胡喜强调，京东零售将通过AI技术打造丰富的智能体，应用于多元化智能场景，实现"千人百面"的AI电商购物体 验。这种"技术+场景"的双轮驱动，也将推动电商行业从流量竞争走向体验竞争的新阶段。 在运筹优化阶段，传统方式主要利用机器学习和运筹算法，在海量数据中寻找优解，聚焦于效率提升和成本优化， ...

Core Insights - The JD Global Technology Explorer Conference (JDD) showcased innovative AI applications, emphasizing the theme "Enjoy AI" and highlighting JD's commitment to building a trillion-scale AI ecosystem over the next three years [1] - JD's CEO, Xu Ran, introduced an updated formula for AI value, emphasizing sustainable development and real value creation for industries [1] AI to Consumer Market - JD focuses on retail and life services in the AI to C market, differentiating itself from competitors who prioritize entertainment or tool-based approaches [2] - The "He Ta Ta" app allows users to interact with a digital assistant for tasks like ordering food, showcasing JD's advancements in voice interaction and user engagement [2] Retail Industry Innovation - JD announced its AI architecture system, Oxygen, which integrates AI technology into e-commerce, enhancing shopping experiences and supply chain management [3][4] - The Oxygen system aims to revolutionize consumer experiences through intelligent search and recommendation features, providing personalized shopping solutions [5] Intelligent Customer Service - JD's new AI customer service agent, Jing Xiao Zhi 5.0, enhances service efficiency and accuracy, significantly improving conversion rates for merchants [6] - The upgraded agent demonstrates a 36% increase in accuracy and a 15% boost in customer service efficiency compared to previous versions [6] Comprehensive Ecosystem Development - JD's extensive supply chain and industry depth facilitate the practical application of AI technologies across various sectors, creating a robust ecosystem [7] - The "He Ta Ta" app exemplifies JD's integration of various services, including healthcare and financial consulting, into a single platform [7] AI Infrastructure Advancements - JD's JoyAI model has achieved comprehensive coverage and multi-modal support, leading to significant upgrades in its AI infrastructure platforms [8] - The company has made strides in domestic computing power and has opened its AI platforms for broader industry collaboration, enhancing model training and application testing [8]

Core Insights - JD's AI model "JoyAI" has transitioned into deep industry applications, showcasing its capabilities across various sectors and daily life [2][3][31] - The company emphasizes that understanding industry scenarios is crucial for leading in AI applications, moving beyond mere technical advancements [33][34] Product Launches - JD has upgraded its AI model brand to "JoyAI," covering a range from 3 billion to 750 billion parameters, and introduced three major AI products: JoyAI LiveHuman, JoyAI LiveTTS, and the 京犀 App [6][10][11] - The 京犀 App is positioned as a next-generation shopping and lifestyle service platform, capable of understanding user needs and facilitating transactions through voice commands [11][13][14] - "他她它" is JD's first digital assistant product, designed to provide a wide range of services and engage users in a more human-like interaction [15][16] Technological Advancements - JoyAI's architecture includes innovations such as sparse MOE training and self-competitive algorithms, enhancing reasoning speed by 1.8 times compared to traditional methods [7][9] - The model achieved a score of 76.3 on the Rbench0924 evaluation, ranking first in China and second globally for reasoning capabilities [9] Industry Applications - JD's AI is being integrated into various sectors, including retail, logistics, industrial, and healthcare, enhancing efficiency and trust in supply chain operations [21][22][27] - The new AI architecture "Oxygen" aims to revolutionize e-commerce by providing personalized shopping experiences through advanced recommendation systems [24][27] Strategic Vision - JD's approach combines self-developed technology with investments and ecosystem partnerships to penetrate the embodied intelligence field, focusing on practical applications rather than just technological prowess [20][31] - The company plans to invest significantly over the next three years to build a trillion-scale AI ecosystem, emphasizing sustainable development and real value creation for industries [38]

Core Insights - JD.com CEO Xu Ran announced a commitment to invest in building a trillion-scale AI ecosystem over the next three years, with founder Liu Qiangdong personally leading the JD Group Exploration Research Institute [2] - The company introduced its upgraded AI model brand JoyAI, along with three new AI products and applications across retail, health, logistics, and industrial sectors [2] Retail Innovations - JD.com unveiled its e-commerce innovation AI architecture, Oxygen, which enhances traditional browsing and search experiences by aligning with human decision-making processes [4] - The upcoming JD App version 16.0 will feature an intelligent search recommendation function called "Aigou," designed to provide personalized shopping experiences through natural language interaction [4] Double 11 Strategy - For the upcoming Double 11 shopping festival, JD.com plans to leverage technology for innovative marketing strategies, emphasizing the need for extensive scenario-based shopping guides [5] - The company has introduced a "topic" feature to aggregate content related to specific products, enabling a rapid trigger of intelligent shopping processes [5] Technological Advancements - The Oxygen system's open-source technology, particularly the Oxygent-9N-xLLM model inference engine, has achieved a fivefold efficiency increase and a 90% cost reduction for JD's retail operations [6] - JD's digital human platform has been upgraded to version 4.0, introducing the industry's first brand ambassador digital human, which significantly reduces costs in live streaming and customer service [6] Cost Efficiency - In the live streaming sector, digital humans cost only one-tenth of human hosts while outperforming over 80% of them in sales effectiveness [6] - The production cost of a single digital human has been reduced from tens of thousands to double digits, representing a cost decrease of over 90% compared to traditional filming methods [6]

Core Insights - JD.com plans to invest continuously over the next three years to develop a trillion-scale AI ecosystem across various industries [2] - The company has launched new AI products under the upgraded model brand JoyAI, focusing on retail, health, logistics, and industrial applications [2] Group 1: AI Ecosystem Development - JD.com CEO Xu Ran announced the commitment to build a trillion-scale AI ecosystem, with Liu Qiangdong personally leading the JD Group Exploration Research Institute [2] - The company introduced three new AI products: "Jingxi," "Tata," and "JoyInside," along with AI applications tailored for four key scenarios [2] Group 2: Retail Innovations - JD.com unveiled the e-commerce innovation AI architecture system called Oxygen, which enhances traditional browsing and search experiences by aligning with human decision-making processes [2] - The upcoming JD App version 16.0 will feature an intelligent search recommendation function called "Aigou," designed to provide personalized shopping experiences through natural language interaction [2] Group 3: Double 11 Promotions - For the upcoming Double 11 shopping festival, JD.com aims to innovate through technology by creating extensive scene-based shopping content, allowing for limitless promotional scenarios [3] - The internal "topic" feature will aggregate content related to specific products, enabling quick access to intelligent shopping processes [3] Group 4: Digital Human Technology - JD.com has upgraded its digital human platform to version 4.0, launching the industry's first brand ambassador digital human, which can be utilized across various sectors including live streaming and customer service [4] - The cost of producing a digital human has significantly decreased, with production costs dropping from tens of thousands to double digits, representing a reduction of over 90% compared to traditional methods [5]

Core Insights - JD.com is committed to investing in AI technology over the next three years to create a trillion-yuan AI ecosystem across various industries [1] - The company has launched new AI products under the brand JoyAI, focusing on retail, health, logistics, and industrial applications [1] Group 1: AI Technology and Innovations - JD.com has introduced the Oxygen AI architecture, which enhances traditional browsing and search experiences by aligning with human decision-making processes [3] - The upcoming JD App 16.0 will feature a smart search recommendation function called "Love Purchase," which uses natural language processing to understand user needs and provide personalized shopping experiences [3] - The Oxygen-9N-xLLM model inference engine has been open-sourced, achieving a fivefold increase in efficiency and a 90% cost reduction for JD's retail operations [5] Group 2: Digital Human Technology - JD's digital human platform has been upgraded to version 4.0, introducing the industry's first brand ambassador digital human [5] - In the live streaming sector, digital humans cost only one-tenth of real human hosts while outperforming over 80% of them in sales effectiveness [5] - The production cost of a single digital human has decreased from tens of thousands to double digits, representing a cost reduction of over 90% compared to traditional filming methods [5] Group 3: Marketing Strategies for Upcoming Events - For the upcoming Double 11 shopping festival, JD.com plans to leverage technology to create innovative marketing strategies, including scenario-based shopping guides [4] - The company has introduced a "topic" feature that aggregates content related to specific products, enabling a rapid trigger of smart shopping processes [4] - Future developments may allow for the combination of intelligent agents and large models to transform shopping knowledge into actionable marketing content [4]