Core Viewpoint - JD Health is leveraging AI capabilities to provide professional, precise, and personalized nutrition support services, particularly in the maternal and infant nutrition sector, addressing consumer demands for diverse health consumption [1][2]. Group 1: AI Nutritionist Implementation - JD Health has introduced the "AI Nutritionist" utilizing the Qianyi Qianxun model, which integrates a three-dimensional knowledge base covering maternal and infant medical guidelines, online consultation data, and product information [2]. - The AI Nutritionist offers 24/7 consultation through multimodal interactions (text, voice, video) and emotional design, providing tailored scientific feeding plans based on user health records and behavior data [2]. Group 2: User Engagement and Experience - The AI Nutritionist has covered over 200 health categories and has provided scientific feeding guidance to more than 10 million families, achieving a user conversion rate exceeding 45% [4]. - JD Health's AI-driven ecosystem enhances user experience by integrating public and private domain operations, resulting in an 89.81% increase in new user purchases and a 65% cross-category transaction rate [4]. Group 3: Continuous Health Management - JD Health aims to provide long-term, personalized health management services, starting from user health record establishment to content education, dietary therapy, and nutrition guidance [4]. - Since 2020, JD Health has built the largest professional online nutritionist service team in China, with nearly 1,000 nutrition doctors and nutritionists, achieving a consultation volume growth of nearly 100% year-on-year [4].

Core Viewpoint - The conference "Healthy Weight: Reborn through AI" organized by Shouba Technology aims to transition weight management from an experience-driven approach to a data-driven one, contributing to the construction of a healthy China [1][3][19] Group 1: Conference Overview - The event was held on World Obesity Day, attracting nearly 2,000 participants including doctors, nutritionists, and health managers from various regions [1][3] - The conference emphasized the importance of policy guidance, technological innovation, and public welfare in addressing obesity as a significant public health issue [3][19] Group 2: Company Initiatives - Shouba Technology has developed an AI weight management model based on over 1 billion health data points from millions of users, offering services like AI body fat assistants and nutritionists [4] - The company has served over 1.3 million users, helping them lose a total of over 5.45 million kilograms [4] - Shouba Technology announced a "100 Billion Health Subsidy Plan" to promote scientific weight loss and support community health initiatives [7][8] Group 3: Policy and Collaboration - The National Health Commission highlighted the need for multi-sector collaboration to tackle obesity, shifting the focus from treatment to prevention [7][10] - Shouba Technology has formed partnerships with various institutions, including the Chinese Academy of Food Fermentation Industry and Peking University, to enhance health management and research [10][13] Group 4: Public Welfare Initiatives - The "Meat Transfer" public welfare plan was launched, where funds are donated to improve nutrition for rural children based on users' weight loss achievements [4][14] - The initiative aims to create a sustainable cycle of health behavior transformation into social benefits [14] Group 5: Scientific Consensus and Future Directions - Experts from various fields agreed on the necessity of a multi-faceted approach to effective weight management, integrating technology, policy, and psychological support [15][18] - The conference outlined a clear path for national health weight management, emphasizing the role of AI in driving health equity and innovation [19]