Tai Mei Ti A P P·2025-09-25 10:42Core Insights - JD Group's AI strategy emphasizes long-term sustainability and value creation for industries, moving from a technology-driven approach to a user-value-oriented one [2][4] - The company has upgraded its AI model brand from "Yansai" to "JoyAI," marking a shift from technical exploration to deep industry application [5][7] - JD aims to invest continuously over the next three years to create a trillion-scale AI ecosystem, enhancing its technological capabilities and organizational structure [5][9] AI Model Development - The newly launched JoyAI model family includes a spectrum of models from 3 billion to 750 billion parameters, catering to various application needs [7] - JoyAI achieved a score of 76.3 on the rbench0924 evaluation, ranking first in China and second globally for reasoning capabilities [7] - The introduction of JoyAI digital human models addresses industry challenges such as generating long videos and monitoring facial key points [7][11] Consumer Experience Transformation - JD's AI architecture, Oxygen, enhances consumer interaction through personalized recommendations and natural language processing, significantly improving the shopping experience [9][10] - The "Aigou" feature in the JD app exemplifies the shift from traditional search to decision support, allowing for more intuitive consumer engagement [10][11] Healthcare Innovations - JD's AI medical consultation system, Jingyi Qianxun 2.0, simulates clinical reasoning and integrates medical knowledge for improved diagnostic accuracy [11][12] - The launch of AI Hospital 1.0 represents a significant advancement in AI-driven healthcare services, offering various functionalities such as online consultations and AI pharmacy services [12] Industrial Applications - JD's industrial AI model, JoyIndustrial, enhances procurement and production processes by leveraging extensive data on industrial products [15][16] - The AI governance virtual team significantly improves efficiency in material standardization tasks, reducing the time required for complex tasks [16] Logistics and Supply Chain Efficiency - JD's logistics AI model enables autonomous decision-making and collaboration among robots, enhancing operational efficiency in warehouses [18] - The introduction of various self-developed logistics products supports comprehensive supply chain management, improving task execution and coordination [18] Open Source and Ecosystem Development - JD announced the open-sourcing of key AI technologies, promoting collaboration and accessibility for small and medium enterprises [19][20] - The integration of hardware and software solutions aims to create a comprehensive ecosystem that meets diverse consumer needs [22] Conclusion - JD's AI strategy integrates model capabilities, user experience, and industry depth, positioning the company as a leader in AI-driven supply chain transformation [23]