Sep 16, 2026|
JD.com Launches CHEFRESH, Bringing AI Meal Planning and Robotic Cooking into the Home
- JD.com introduces CHEFRESH, an AI-powered healthy eating companion for the home that turns personalized dietary guidance into everyday meals.
- CHEFRESH combines Health Brain AI, JD.com’s fresh food supply chain and an intelligent cooking robot, connecting personalized meal planning, ingredient delivery and cooking in one service.
- CHEFRESH also announced partnerships with Raffles Hospital, the UK Butler Guide and OriginX, bringing together expertise in health management, premium household services and AI innovation.
BEIJING, September 16, 2026 — JD.com, also known as JINGDONG, today launched CHEFRESH (七鲜大厨), a new AI-powered healthy eating service for the home. Designed to turn personalized dietary guidance into everyday meals, CHEFRESH brings together AI, JD.com’s fresh food supply chain and robotic cooking in an integrated service.
At the heart of CHEFRESH is Health Brain AI, powered by JoyInside, JD.com’s AI-powered integrated software and hardware solution. Users can provide health check reports and dietary preferences, which Health Brain AI uses together with nutritional knowledge to create personalized meal plans and daily menus tailored to their health and dietary needs. High-quality fresh ingredients are then selected, cleaned, portioned and delivered through JD.com’s fresh food and cold-chain network. An intelligent cooking robot completes the process at home, automatically managing cooking, seasoning and even self-cleaning.
“Our goal is not simply to give people advice on healthy eating, but to help turn that advice into the meals that reach the family table every day,” said the head of CHEFRESH. “Health, convenience and taste all need to come together.”
CHEFRESH has opened its first pre-orders in Beijing, Shanghai, Guangzhou, Shenzhen and other cities. Initial orders will be delivered progressively in the order in which reservations are placed.
CHEFRESH is also exploring how AI can help preserve family recipes. A special edition allows families to digitally record recipes, including ingredient proportions, seasoning, cooking steps, temperature and heat control. The intelligent cooking robot can then reproduce these dishes consistently, offering a new way to preserve and share family recipes across generations.
At the launch, CHEFRESH announced strategic partnerships with Raffles Hospital, the UK Butler Guide and OriginX, connecting professional health expertise, household services and AI innovation.
“Professional medical advice only creates lasting value when it becomes part of everyday life,” said Dr. Charles Poon, Medical Director of Raffles Medical North China and General Manager of Raffles Hospital Beijing. “Through our collaboration with CHEFRESH, we hope to better connect professional health management with the meals people eat every day.” This reflects Raffles Hospital’s emphasis on extending dietary guidance beyond the clinical setting and into patients’ daily lives.
“For premium households, quality is not only about good ingredients. It is also about having a trusted service that brings together nutrition, taste and convenience,” said Liang Guo, Chief Representative for Greater China at the UK Butler Guide Service Group. “That shared focus on trusted household service is what makes this collaboration meaningful.”
“What interests us is how CHEFRESH brings AI and intelligent devices into an everyday setting such as the family kitchen,” said Daojun Sun, Co-founder of OriginX, a leading Chinese company integrating AI research, industry and real-world applications, and Director and Professor at the Institute of AI Marketing, Communication University of China. “We look forward to exploring how AI, intelligent devices and quality retail can work together to create new consumer experiences.”
CHEFRESH reflects JD.com’s broader exploration of bringing AI from the digital world into everyday physical activities. Rather than stopping at recommendations about what people should eat, CHEFRESH connects AI-powered planning with the physical execution of sourcing, delivering and cooking food. By combining AI, supply chain capabilities and intelligent hardware, JD.com is exploring how AI can help turn digital intelligence into practical, real-world experiences.
(vivian.yang@jd.com)
Sep 9, 2026|
From AI Models to the Physical World: Highlights from JDDiscovery 2026
AI is often discussed through models, benchmarks and digital productivity. At JDDiscovery 2026 in Beijing, JD.com focused on what AI can accomplish in the physical world from warehouses and delivery routes to retail, healthcare, smart homes, industrial supply chains and beyond.
Under the theme “JoyAI: Leaping into the Physical World,” JD.com outlined its goal to build the “World’s Largest Operational Platform for the Physical World”. As Cao Peng, Chairman of JD.com’s Technology Committee and President of JD Cloud, noted, JD.com’s AI was not born only in research papers. It has been refined “order by order” across production lines, warehouses, delivery stations and the full supply chain process.
Here are three highlights from JDDiscovery 2026 that show how JD.com is putting AI to work.
World Models Move AI Closer to the Physical World
An optimal route for hundreds of millions of parcels, calculated in seconds. A mechanical component designed through a simple conversation and turned into a 3D-printed prototype. A medical imaging agent that can proactively examine a scan. These examples show what becomes possible when AI moves beyond the screen and into real-world operations.
Behind them is JD.com’s JoyAI foundation model portfolio, which spans speech, image, video, real-time interaction, world models and embodied AI.
At JDDiscovery, the company added its new world model, JoyAI-Echo WM, an interactive audiovisual model that combines native audio-video generation with user control. It takes AI-generated content beyond something users simply watch, transforming it into virtual environments they can enter, interact with and explore.
JD.com also showcased industry-specific models and AI agent applications. JINGDONG Logistics’ Meta Brain 3.0 coordinates decision-making across warehousing, transport and delivery, reducing the time needed to calculate optimal routes for hundreds of millions of parcels from minutes to seconds.
JoyIndustrial 2.0, meanwhile, allows engineers to describe a mechanical design in everyday language and turn it into a physical prototype through 3D printing. In healthcare, JoyAI-Med 3.0 brings medical imaging, research, clinical documentation and multidisciplinary consultation into a unified model that is already being used across JINGDONG Health services.
AI Moves into Everyday Life: Shopping, Health and the Home
Of course, AI is not limited to robots on warehouse floors. It can also help someone choose a washing machine, collect a blood pressure reading with healthcare services, or allow devices across the home to respond more intelligently.
With the release of JD.com app ver.16.0 on 9 September, users can now access “Dongdong”, JD.com’s AI shopping assistant, throughout the shopping journey.
Instead of simply returning search results, Dongdong is designed to understand what customers are trying to accomplish. It can break down broad or unclear requests and match them with relevant products and services across JD.com’s ecosystem.
Users can also interact with Dongdong through voice and video. Someone looking for furniture or an appliance, for example, can show the assistant their available space, interior style or a problem they want to solve. Dongdong can then use that visual context to provide more relevant and practical suggestions.
In healthcare, JINGDONG Health introduced its first end-to-end specialist AI agent, designed to reproduce the diagnostic logic and clinical expertise of leading doctors. JINGDONG Health is also linking AI with devices and services.
In the home, JoyInside gives connected devices an “AI brain”, helping them move from responding individually to providing more proactive, whole-home services. The technology has already been adopted through partnerships with more than 200 brands across appliances, home products, toys and robotics.
From Prototype to Scale: Building the Infrastructure for Robotics
Building a robot is difficult. Turning it into a product that can be manufactured, deployed and maintained at scale is harder. JD.com’s new Physical AI Acceleration Plan is designed to address that challenge across the full robotics lifecycle.
The plan begins with one of the industry’s biggest constraints: training data. JD Cloud aims to build the world’s largest embodied AI data collection centre, gathering more than 10 million hours of video from real-world human activities over the next two years.
JINGDONG Property plans to establish more than 80 RoboBase robotics industry hubs across China over the next five years, creating the world’s largest network of robotics industry bases. The hubs will integrate product demonstration and delivery, R&D, pilot assembly, data collection, manufacturing, maintenance and product iteration.
JINGDONG Industrials has launched an alliance connecting robot manufacturers with component suppliers, supporting its goal to become the world’s largest supplier of robotics components.
JINGDONG Retail plans to commit RMB 10 billion in resources by 2028. It aims to become the world’s largest robotics retail channel by helping 100 robotics brands each achieve RMB 1 billion in independent sales and reaching 10 million users.
Logistics already provides a significant proving ground. JINGDONG Logistics aims to build the world’s largest-scale application of embodied robots and advance autonomous operations across the entire logistics process.
The increasing use of robotics will also require support after deployment. JINGDONG Logistics currently operates eight repair centres in China and plans to extend its robotics after-sales capabilities and support the creation of more than 100,000 jobs for robotics service engineers, over the next five years.
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