Next to the roaring production line, the master no longer stubbornly scratches the drawings, and the inspectors bid farewell to running around the entire field. When large models step out of the virtual space and immerse themselves in real research and operation, AI becomes a hands-on industrial helper from a chatbot tool, opening up a new era of intelligent manufacturing.
New product launch landing in industrial scenarios
At the 2026 JD Global Technology Explorer Conference Intelligent Industry Forum held in Beijing, JD Industrial launched the JoyIndustrial 2.0 industrial model and five major AI products. Promote the expansion of artificial intelligence from virtual digital space to physical industrial processes such as research and development, procurement, and on-site operation and maintenance, and achieve a leap from theoretical cognition to physical production application of industrial large-scale models.

Ecological co construction polishing industrial AI
At the forum, the relevant person in charge of JD Industry proposed the development goal of building a super AI supply chain and constructing the world's largest physical world operation center. As the core carrier of AI and super AI supply chains for the physical world, JD.com undertakes the important task of understanding, building, and operating the physical world.
The person in charge mentioned that JD Industrial's AI does not come from theoretical research, but is rooted in production lines, warehouses, and distribution sites, continuously polished through massive orders throughout the entire supply chain business.

It is reported that the newly upgraded JoyIndustrial 2.0 no longer only provides simple reference conclusions, but also adds task decomposition, professional analysis, tool calling, and process collaboration capabilities, which can deeply integrate into enterprise production business systems. The platform collaborates with over 130 ecological partners to build a vertical industrial model system covering six major industries, relying on scenario training and knowledge base accumulation to significantly reduce model illusions in industrial product Q&A. Simultaneously launching specialized models for industrial design, which can directly generate standard CAD drawings from engineers' natural language requirements, shortening the product development and drafting cycle.
Deeply cultivating scenarios to achieve cost reduction and efficiency improvement
AI CAD supports integrated design, quotation, and fulfillment. Users can generate 3D models by inputting text, and it comes with automatic quotation and 3D printing services. A design master tool for mechanical design, supporting fast drawing analysis and closed-loop quotation, improving modeling and selection efficiency by 8 to 10 times, and compressing the selection inquiry and order process from days to hours.

Industrial AI glasses are used for business sorting and on-site quality inspection, quickly identifying material lists, equipment nameplates, and physical objects, automatically matching industrial product SKUs, integrating appearance inspection, safety inspection, online Q&A, and remote collaboration functions. The accuracy of indoor material identification is higher than 94%, and the false alarm rate is lower than 1%. AI expert guidance relies on professional parameter selection capabilities, combined with image retrieval, parameter queries, and industry knowledge base models, to empower industrial product procurement business. Keywords: industrial large-scale model AI、 intelligent design

The OpenJDi product family focuses on supply chain material management, compliance review, and industry knowledge application. It has launched three products: Zhiwu AI Material Manager, Guanlan AI Compliance Guardian, and Bowen AI Industrial Think Tank, to help practitioners in product management, compliance control, and knowledge application. AI is only a means to achieve industrial upgrading, not the ultimate goal. To embed artificial intelligence into various segmented industrial scenarios and rely on innovative applications to help enterprises reduce costs, increase efficiency, and improve business performance.Editor/Gong Ziwei
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