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.
(press@jd.com)