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2000多家超市上线蚂蚁阿福 健康AI走到线下

亿邦动力 2026-09-22 17:42
亿邦动力 2026/09/22 17:42

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你现在可以在多个日常线下消费场景使用蚂蚁阿福健康AI工具,解决饮食健康、体重管理的决策难题,核心实用信息如下:

1. 线下超市覆盖范围广,目前全国已有2000多家包括盒马、物美、Olé、银座、重庆百货等在内的连锁及区域超市设置了蚂蚁阿福健康专区,货架旁就摆放了减脂能不能喝全脂牛奶、痛风能不能吃梭子蟹、控糖如何看配料表这类高频饮食问题的现成答案,逛超市选购食品时可直接参考。

2. 工具功能实用性强,你可以下载蚂蚁阿福APP,拍摄食物后,平台会结合你的个人饮食记录、健康状况,给出热量、脂肪、营养成分、升糖指数等量化参考,还能为体重管理、血糖管理人群提供科学化饮食建议。

3. 多场景均可使用,除超市外,在中田健身、乐刻健身门店可使用AI体重趋势追踪、AI训练问答服务,在老乡鸡、张亮麻辣烫等餐饮门店也可拍摄餐食识别热量、营养,轻松完成日常健康管理。

健康食品赛道增长迅猛,健康AI嵌入线下消费场景的新玩法,为品牌商的产品布局、场景营销提供了明确方向,核心参考信息如下:

1. 消费趋势清晰可追,数据显示2024年中国低GI食品市场规模达1762亿元,年增速保持在10%以上,63%的新中产消费者已将低GI饮食纳入日常健康管理行为,有机、低GI、干净配料类健康食品消费增长迅猛,是产品研发、品类布局的核心方向。

2. 新营销触点价值突出,目前蚂蚁阿福健康专区已落地全国2000多家超市,还延伸至健身、餐饮场景,消费者选购食品、就餐、健身时,会参考AI给出的升糖指数、营养成分、适配人群建议,品牌可借这类AI健康触点,精准触达控糖、减脂、慢病管理等有明确健康需求的用户,降低用户决策成本,带动产品销售。

3. 用户决策逻辑生变,当下消费者选购健康食品时存在信息差,需要直观的健康决策参考,品牌在产品包装、终端物料上可强化相关健康指标的清晰展示,适配新的消费决策习惯。

健康消费赛道的线下场景创新带来了明确的生意增量机会,线下零售、餐饮、健身类卖家可参考相关玩法抓住增长红利,核心信息如下:

1. 增长市场空间充足,健康类食品及服务需求持续上涨,2024年低GI食品市场规模达1762亿元,年增速保持在10%以上,63%的新中产消费者已日常践行低GI饮食管理,控糖、减脂、慢病饮食管理类需求对应的产品和服务有较大增长空间。

2. 场景创新玩法可直接落地借鉴,商超类卖家可引入蚂蚁阿福这类健康AI工具设置健康专区,一方面筛选健康类商品集中展示,另一方面重构货架语言,在对应商品旁放置消费者高频关心的健康问题解答,大幅降低消费者选购决策成本,带动健康类商品销售。

3. 跨界合作模式可参考复用,健身类卖家可联动健康AI工具打通吃、测、练一体化服务,餐饮类卖家可上线AI拍餐识别营养的功能,打造差异化服务体验,精准吸引有健康管理需求的客群。

健康消费需求的爆发以及AI工具在线下场景的渗透,为食品类生产工厂带来了明确的产品方向和数字化落地参考,核心信息如下:

1. 产品生产设计方向清晰,当前以有机、低GI、干净配料为代表的健康食品消费增长迅猛,2024年国内低GI食品市场规模已达1762亿元,年增速保持在10%以上,63%的新中产消费者已将低GI饮食纳入日常健康管理,工厂可重点布局低GI、配料干净、适合减脂/控糖/痛风等特定人群的食品品类,匹配市场需求。

2. 增量商业机会明确,目前全国2000多家超市设置了蚂蚁阿福健康专区,会筛选健康食品集中展示,健身、餐饮场景也在落地健康饮食相关服务,工厂可对接这些渠道的健康品类采购需求,供应符合健康标准的相关产品,打开新的销量通路。

3. 数字化优化方向明确,工厂在产品包装设计、信息标注上,可清晰标注升糖指数、热量、核心营养成分等关键健康指标,适配AI工具的信息识别需求以及消费者的健康选购决策需求,提升产品在健康赛道的竞争力。

健康AI嵌入线下多消费场景的落地实践,为To B服务提供商指明了行业服务方向,相关技术、场景服务有较大落地空间,核心信息如下:

1. 行业痛点清晰可挖掘,健康消费需求持续攀升,但线下零售、健身、餐饮等场景普遍存在健康消费信息不透明、消费者选购健康产品决策成本高的痛点,线下商家普遍有升级健康服务能力、提升用户体验、带动健康品类销售的明确需求。

2. 成熟解决方案可参考优化,类似蚂蚁阿福的健康AI能力可适配多场景需求:在商超场景可嵌入货架,提供高频健康问题解答、食物营养识别、个性化健康建议能力,帮助商家筛选健康商品、重构货架语言;在健身场景可提供体重追踪、训练问答能力,打通吃测练服务;在餐饮场景可提供餐食营养识别能力,帮助商家打造差异化体验。

3. 客户付费基础充足,当前低GI食品市场年增速保持在10%以上,健康类消费需求旺盛,商家有足够动力通过服务升级抓住健康消费红利,服务商可针对性开发轻量化、易落地的AI健康服务模块,对接各类线下商家的需求。

线下实体零售、本地生活服务平台可借健康AI落地的趋势优化运营、打造差异化竞争力,核心参考信息如下:

1. 用户需求明确,当前63%的新中产消费者有日常低GI饮食管理需求,减脂、控糖、慢病饮食管理等健康类消费需求旺盛,但用户在线下选购食品、就餐、选择健身服务时,存在健康信息不透明、决策成本高的痛点,对平台的健康服务能力有明确期待。

2. 运营升级路径可参考,平台可引入蚂蚁阿福这类健康AI能力:商超类平台可在货架、线上商品页配套高频健康问题解答,上线AI拍食物查营养、个性化饮食建议功能,降低用户决策成本;本地生活平台可联动健身、餐饮类入驻商家,上线AI体重追踪、餐食热量识别等功能,搭建吃、测、练一体化健康服务体系,提升用户粘性。

3. 招商选品方向清晰,当前低GI、有机、干净配料类健康食品增长迅猛,其中低GI食品市场年增速保持在10%以上,2024年市场规模达1762亿元,平台可加大这类品类的招商力度,匹配用户消费需求,拉动平台交易规模增长。

健康AI跨界嵌入线下实体消费场景的实践,是大健康产业与实体零售、生活服务融合的新动向,具备较高的研究价值,核心观测点如下:

1. 产业融合呈现新特征,当前健康消费需求驱动下,健康AI正在跳出纯线上服务场景,快速渗透到商超零售、健身、餐饮等泛健康生活场景,通过AI问答、图像识别、个性化建议等能力,解决健康消费信息不对称的行业痛点,形成AI工具方+线下场景方+消费者的三方价值闭环:对消费者降低健康决策成本,对场景方提升健康品类转化、打造差异化体验,对AI方拓展落地场景。

2. 赛道增长有翔实数据支撑,2024年中国低GI食品市场规模达1762亿元,年增速保持在10%以上,63%的新中产消费者已将低GI饮食纳入日常健康管理行为,有机、低GI、干净配料类健康食品增长迅猛,为健康AI的落地提供了扎实的市场基础。

3. 新商业模式具备追踪价值,目前蚂蚁阿福发起的“科学减重一亿斤”行动,联动商超、健身、餐饮多个业态打造吃测练一体化服务体系,是AI驱动健康消费的新商业样本,其后续的转化效率、用户留存、商业变现逻辑都值得持续研究。

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Quick Summary

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.

Disclaimer: The "Quick Summary" content is entirely generated by AI. Please exercise discretion when interpreting the information. For issues or corrections, please email run@ebrun.com .

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【亿邦原创】AI健康管家开始走进线下商超了?

9月22日,亿邦动力获悉,全国已有2000多家超市门店陆续推出“蚂蚁阿福健康专区”,包括盒马、物美、Olé、银座、新天地、中商超市、重庆百货、大张、红府等多家连锁与区域零售品牌。消费者在选购牛奶、海鲜、零食、粮油等日常食品时,可使用蚂蚁阿福的AI健康问答、AI拍食物等能力,获得升糖指数、热量摄入、营养成分等科普解答和量化参考。

据亿邦动力观察,在北京海淀区一家物美超市中,“蚂蚁阿福健康专区”把AI能力嵌入了日常消费场景:减脂期能不能喝全脂牛奶、痛风人群能不能吃梭子蟹、控糖时如何看配料表,类似这样的健康疑问,在相应货架前都有蚂蚁阿福的“答案”。

(亿邦动力拍摄)

除了现场蚂蚁阿福摆在货架前的常规问题答案外,在蚂蚁阿福APP上,将食物拍照后,蚂蚁阿福会结合个人饮食记录、健康情况,提示热量、脂肪、营养成分、升糖指数等信息,对于体重管理、血糖管理等人群给出科学化建议。

作为健康AI,蚂蚁阿福正走进越来越多的泛健康生活场景。在发起“科学减重一亿斤”活动后,蚂蚁阿福已围绕饮食场景推出系列能力,包括AI饮食分、食物拍照识别热量、慢病饮食管理等,定位让普通人也可以拥有一个“AI营养师”。

蚂蚁阿福方面指出,近年来,以有机、低GI、干净配料为代表的健康食品消费增长迅猛。《2024—2030年中国低GI产品市场现状研究分析与发展前景预测报告》显示,2024年中国低GI食品市场规模已达1762亿元,年增速保持在10%以上。另据Foodaily发布的《2025新中产健康生活调研》,63%的消费者已将低GI饮食纳入日常健康管理行为。

健康AI的出现,提高了健康消费场景中的信息透明度,为这一行业的发展带来了新的可能。对零售企业而言,类似“蚂蚁阿福健康专区”的落地,一方面直接将健康食品筛选了出来,另一方面也重构了商超的货架语言,大幅降低了消费者的健康选购决策成本。普通消费者借助AI,可以更直接、清楚地理解和甄别,选择适合自己的食品。

这也是越来越多线下消费场景,联合AI跨界创新的一种尝试。除了商超外,今年7月,国内连锁健身品牌中田健身、乐刻健身宣布加入蚂蚁阿福 “科学减重1 亿斤” 行动,联合蚂蚁阿福提供AI体重趋势追踪、AI训练问答等服务,搭建起“吃、测、练”一体化服务体系。以老乡鸡、张亮麻辣烫等为代表的餐饮行业,也纷纷推出蚂蚁阿福AI拍饮食体验店,顾客在就餐时就可用阿福拍照“验热量、识营养”。

亿邦持续追踪报道该情报,如想了解更多与本文相关信息,请扫码关注作者微信。

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蚂蚁阿福是什么?

蚂蚁阿福是一款健康AI应用,定位是让普通人拥有一个“AI营养师”。它提供AI饮食分、食物拍照识别热量、慢病饮食管理等功能,并已在盒马、物美等超市及健身、餐饮等场景落地,为消费者提供饮食健康建议。

蚂蚁阿福的AI拍食物和健康问答能提供哪些信息?

在超市购物或日常饮食中,用户可用蚂蚁阿福拍摄食物,获得热量、脂肪、营养成分、升糖指数等量化信息;也可通过AI健康问答获取减脂、控糖、痛风等场景下的饮食建议,并基于个人饮食记录和健康情况得到科学化指导。

在超市里,蚂蚁阿福如何帮助消费者选购食品?

全国2000多家超市设有“蚂蚁阿福健康专区”,包括盒马、物美、银座等品牌。货架前提供AI健康问答,针对全脂牛奶、梭子蟹、配料表等具体食品健康疑问给出答案,帮助消费者现场理解升糖指数和营养成分,降低健康选购决策成本。

低GI食品市场目前的规模和趋势如何?

《2024—2030年中国低GI产品市场现状研究分析与发展前景预测报告》显示,2024年中国低GI食品市场规模已达1762亿元,年增速保持在10%以上。Foodaily的《2025新中产健康生活调研》也指出,63%的消费者已将低GI饮食纳入日常健康管理行为。

蚂蚁阿福除商超外还进入了哪些线下场景?

蚂蚁阿福已进入健身和餐饮场景:今年7月中田健身、乐刻健身加入“科学减重1亿斤”行动,提供AI体重趋势追踪、AI训练问答;老乡鸡、张亮麻辣烫等餐饮品牌推出AI拍饮食体验店,顾客可拍照“验热量、识营养”。

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