2000多家超市上线蚂蚁阿福 健康AI走到线下

Ant Afu’s health AI tool is now available across a wide range of daily offline consumption scenarios, helping users make more informed decisions around dietary health and weight management. Key practical takeaways are as follows:

1. Wide supermarket coverage: Over 2,000 chain and regional supermarkets nationwide—including Hema, Wumart, Olé, Ginza, and Chongqing Department Store—have set up dedicated Ant Afu health zones. Shelf-side displays provide ready answers to common dietary questions, such as whether people on a fat-loss diet can drink whole milk, whether gout patients can eat swimming crabs, and how to interpret ingredient lists for sugar control, for shoppers to reference directly when purchasing food.

2. Highly practical in-app features: Users can download the Ant Afu app to take photos of food. The platform combines personal dietary records and health status to provide quantitative metrics including calorie count, fat content, nutritional composition, and glycemic index, as well as evidence-based dietary advice for users managing their weight or blood sugar.

3. Cross-scenario accessibility: Beyond supermarkets, users can access AI-powered weight trend tracking and AI training Q&A services at China Fitness and LeFit gym locations, and use the photo-based meal calorie and nutrition identification feature at restaurant chains including Home Original Chicken and Zhang Liang Spicy Hot Pot, making daily health management more seamless.

The fast-growing health food sector, paired with the emerging integration of health AI into offline consumption scenarios, offers clear direction for brands on product planning and scenario-based marketing. Key reference points are as follows:

1. Trackable consumer trends: Data shows China’s low-GI food market reached RMB 176.2 billion in 2024, maintaining an annual growth rate of over 10%. 63% of new middle-class consumers have incorporated low-GI diets into their daily health management routines. Demand for organic, low-GI, and clean-label health food is surging, making these categories core priorities for product R&D and portfolio layout.

2. High-value new marketing touchpoints: Ant Afu’s dedicated health zones are now deployed in over 2,000 supermarkets nationwide, and have expanded to fitness and catering scenarios. When shopping for food, dining out, or working out, consumers refer to AI-provided insights on glycemic index, nutritional composition, and suitability for specific user groups. Brands can leverage these AI health touchpoints to precisely reach users with clear health needs—such as sugar control, fat loss, and chronic disease management—lowering decision-making barriers and driving product sales.

3. Shifting user decision-making logic: Today’s consumers face information gaps when selecting health food and need intuitive references for health-related decisions. Brands can optimize product packaging and in-store marketing materials to clearly display key health metrics, aligning with evolving consumer decision-making habits.

Offline scenario innovation in the health consumption sector is creating clear incremental revenue opportunities for offline retail, catering, and fitness operators, who can draw on emerging use cases to capture growth dividends. Key takeaways are as follows:

1. Ample market growth potential: Demand for health food and services continues to rise. China’s low-GI food market reached RMB 176.2 billion in 2024, with an annual growth rate of over 10%, and 63% of new middle-class consumers already practice daily low-GI dietary management. There is significant room for growth in products and services targeting needs around sugar control, fat loss, and chronic disease dietary management.

2. Replicable scenario innovation playbooks: Supermarket operators can introduce health AI tools such as Ant Afu to build dedicated health zones, on one hand curating and showcasing health-focused products in a centralized display, and on the other hand restructuring shelf messaging by placing answers to common consumer health questions next to relevant products, which significantly reduces purchase decision costs and drives health product sales.

3. Transferable cross-sector collaboration models: Fitness operators can partner with health AI tools to deliver integrated eat-measure-train services, while catering operators can roll out AI-powered photo-based meal nutrition identification features to build differentiated service experiences and precisely attract health-conscious customer groups.

The surging demand for health-focused consumption and the penetration of AI tools into offline scenarios provide clear product direction and digital implementation references for food manufacturers. Key takeaways are as follows:

1. Clear product design and production direction: Driven by fast-growing demand for health food represented by organic, low-GI, and clean-label products, China’s low-GI food market reached RMB 176.2 billion in 2024, with annual growth exceeding 10%, and 63% of new middle-class consumers have incorporated low-GI diets into their daily health management. Manufacturers can prioritize product lines featuring low GI, clean ingredient lists, and formulations suitable for specific groups such as people on fat-loss diets, people managing sugar intake, and gout patients, to align with market demand.

2. Clear incremental business opportunities: Over 2,000 supermarkets nationwide now host Ant Afu health zones that curate and showcase selected health food products, while fitness and catering venues are also rolling out health diet-related services. Manufacturers can tap into the health category procurement demand of these channels to supply products meeting health standards, opening new sales pathways.

3. Clear digital optimization direction: When designing product packaging and labeling, manufacturers can clearly mark key health metrics including glycemic index, calorie content, and core nutritional composition, to support AI tool information recognition and meet consumers’ health purchase decision-making needs, thereby improving product competitiveness in the health segment.

The real-world implementation of health AI embedded across multiple offline consumption scenarios points to clear industry service directions for B2B service providers, with significant room for technology and scenario-based service deployment. Key takeaways are as follows:

1. Clear addressable industry pain points: While health consumption demand continues to rise, offline retail, fitness, and catering scenarios generally suffer from opaque health-related information and high decision-making costs for consumers purchasing health products. Offline merchants have a clear need to upgrade their health service capabilities, improve user experience, and drive sales of health-focused categories.

2. Mature solutions for reference and optimization: Health AI capabilities similar to Ant Afu can adapt to multi-scenario needs: in supermarket settings, the tool can be embedded into shelf displays to provide answers to frequent health questions, food nutrition identification, and personalized health advice, helping merchants curate health products and restructure shelf messaging; in fitness scenarios, it can provide weight tracking and training Q&A capabilities to connect eat-measure-train services; in catering scenarios, it can offer meal nutrition identification to help merchants build differentiated experiences.

3. Solid client payment foundation: The low-GI food market currently maintains an annual growth rate of over 10%, with robust demand for health-focused consumption, giving merchants strong incentives to upgrade services to capture health consumption dividends. Service providers can develop targeted, lightweight, easy-to-deploy AI health service modules to meet the needs of diverse offline merchants.

Physical retail and local life service platforms can leverage the health AI deployment trend to optimize operations and build differentiated competitiveness. Key reference points are as follows:

1. Clear user demand: Currently, 63% of new middle-class consumers have daily low-GI dietary management needs, with strong demand for health-focused consumption covering fat loss, sugar control, and chronic disease dietary management. However, when purchasing food offline, dining out, or choosing fitness services, users face pain points including opaque health information and high decision-making costs, creating clear expectations for platforms’ health service capabilities.

2. Actionable operation upgrade pathways: Platforms can introduce health AI capabilities such as Ant Afu: retail platforms can add answers to common health questions on physical shelves and online product pages, and launch features including AI photo-based food nutrition checks and personalized dietary advice to reduce user decision costs; local life platforms can partner with on-boarded fitness and catering merchants to roll out features such as AI weight tracking and meal calorie identification, building an integrated eat-measure-train health service system to boost user retention.

3. Clear merchant and product curation direction: Health food categories including low-GI, organic, and clean-label products are growing rapidly. The low-GI food segment alone maintains annual growth of over 10%, reaching a market size of RMB 176.2 billion in 2024. Platforms can step up recruitment of merchants and products in these categories to match consumer demand and drive growth in platform transaction volume.

The cross-sector integration of health AI into offline physical consumption scenarios represents a new trend in the convergence of the broader health industry, physical retail, and lifestyle services, carrying high research value. Key observation points are as follows:

1. New characteristics of industrial convergence: Driven by health consumption demand, health AI is moving beyond purely online service scenarios to rapidly penetrate pan-health lifestyle settings including supermarket retail, fitness, and catering. Through capabilities such as AI Q&A, image recognition, and personalized recommendations, the technology addresses the longstanding industry pain point of information asymmetry in health consumption, forming a three-way value loop connecting AI tool providers, offline scenario operators, and consumers: it reduces health decision-making costs for consumers, improves health category conversion and builds differentiated experiences for scenario operators, and expands implementation scenarios for AI providers.

2. Well-documented data supporting sector growth: China’s low-GI food market reached RMB 176.2 billion in 2024, maintaining an annual growth rate of over 10%. 63% of new middle-class consumers have incorporated low-GI diets into their daily health management routines, while demand for organic, low-GI, and clean-label health food is surging, providing a solid market foundation for health AI deployment.

3. Worthwhile new business model for ongoing tracking: Ant Afu’s ongoing “Scientific Weight Loss of 100 Million Jin” initiative, which connects supermarkets, fitness venues, and catering operators to build an integrated eat-measure-train service system, serves as a new business sample for AI-driven health consumption. Its subsequent conversion efficiency, user retention, and commercial monetization logic merit continued research.