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]

Core Insights - The core focus of the news is the introduction of JD Group's innovative AI architecture system, Oxygen, which aims to revolutionize e-commerce through advanced AI applications in shopping and supply chain management [1][9]. AI E-commerce Experience - JD Group emphasizes the need for a "lightweight" shopping experience combined with "deep support" for significant purchasing decisions, integrating multi-modal interaction to align with human decision-making processes [3]. - The AI e-commerce initiative is described as both an efficiency and experience revolution, aiming to transition the industry from traffic competition to experience competition through diverse intelligent shopping experiences [3][4]. Intelligent Search and Recommendation - The "Aigou" intelligent search recommendation feature utilizes the OxygenRec and OxygenVLM models to provide personalized shopping experiences by understanding user needs through natural language interactions [4]. - This feature aims to transform traditional shopping inefficiencies by offering comprehensive solutions based on user inputs, thus shifting from passive responses to proactive services [4]. Virtual and Augmented Reality Innovations - JD Group introduced the Oxygen XR service for 3D product displays and the Oxygen Tryon AI fitting technology, which addresses challenges in fashion e-commerce by enabling virtual try-ons and reducing return rates [6]. Supply Chain Intelligence - JD Group's self-operated supply chain is described as a large-scale network managing over ten million products, focusing on enhancing sales forecasting accuracy through the self-developed 10B-level time-series model, Oxygen Forecaster [7]. - The integration of AI with operational optimization is set to transform the supply chain into a "super intelligent entity," capable of understanding and generating insights from both numerical data and natural language [7][8]. Open Source Development - The Oxygen architecture includes a commitment to open-source development, allowing developers to access advanced AI tools and promote further AI application in the industry [9]. - The OxyGent multi-agent collaboration framework has been open-sourced, enabling flexible combinations of intelligent systems and enhancing decision-making capabilities [9].

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]