JD Industrials (07618) unveiled its development roadmap and technical achievements for industrial AI models on April 9, announcing a transition from phase 1.0 AI tools to phase 2.0 AI experts. The company's AI experts possess closed-loop operational capabilities, enabling them to independently handle core tasks across product management, fulfillment, and after-sales services. This evolution represents a shift from on-demand activation to autonomous improvement, with the system now capable of proactively identifying needs, participating in decision-making, and enhancing organizational coordination.
JoyIndustrial, China's first vertical AI model specialized for industrial supply chains, is poised to lead another wave of technological and application upgrades in the sector. During the 2026 National Enterprise Management Innovation Conference held on April 9, JD Industrials' model-based supply chain services were recognized as a first-class achievement in national enterprise management modernization. The company delivered a keynote speech titled "AI + Digital-Intelligent Supply Chain: Building a New Industrial Super Supply Chain."
The industrial supply chain sector has long struggled with challenges including difficult-to-reduce procurement costs, unsatisfactory supply cycles, and inefficient oversized teams. Extended practical experience has demonstrated that traditional digital solutions fall short in fundamentally addressing these pain points. Artificial intelligence has emerged as a new productive force with significant potential to fundamentally resolve these industrial supply chain issues.
As an AI-driven industrial supply chain technology and service solutions provider, JD Industrials continues to promote technological innovation and deep integration with practical scenarios, treating innovation as a core driver for its operations and industrial upgrading. The company launched JoyIndustrial in 2025 alongside a series of application agents focused on core supply chain operations, achieving organic integration of massive vertical data and specialized industry scenarios.
Through technological innovation and practical experience, JD Industrials has established a clear development path for industrial AI models: transitioning from phase 1.0 AI tools to phase 2.0 AI experts and ultimately to phase 3.0 AI super-brains. During the AI tools phase, native AI applications provided point-specific empowerment, addressing pain points in supply chain segments through lightweight tools. For instance, in procurement sourcing scenarios, the Product Check tool enables identical product identification capabilities.
The AI expert phase marks a comprehensive upgrade in AI capabilities across scenario expansion, organizational collaboration, and value creation. A JD Industrials technical representative explained: "The hallmark of our phase 2.0 AI capability is the AI expert, which possesses closed-loop operational capacity to independently complete tasks in core scenarios including product management, fulfillment, and after-sales services. The industrial AI expert has evolved from on-demand activation to autonomous improvement, capable of proactively identifying needs, participating in decision-making, and promoting organizational coordination - truly understanding business, handling responsibilities, and delivering results."
JD Industrials has essentially completed the development and application layout of AI tools, achieving solid results in both internal and external business practices, and is currently transitioning toward the AI expert phase. Looking forward, the company believes AI experts will evolve into phase 3.0 AI super-brains capable of ecological evolution and full-chain coordination. This will involve constructing digital-intelligent supply chain brains through industrial models, utilizing products and services like AI demand brains, AI product brains, and AI fulfillment brains to fundamentally enhance industrial supply chain standards.
The company demonstrated its AI capability matrix covering both supply and demand sides. On the supply side, the focus will be on four core capabilities: AI design and manufacturing, AI products and pricing, AI sales and transactions, and AI fulfillment and operations. This will enable one-stop intelligent industrial interconnection manufacturing, unified industrial supply chain "language systems," standardized intelligent ordering, and autonomous decision-making in intelligent fulfillment and operations.
On the demand side, JD Industrials is achieving deep integration and value alignment with customers through AI-driven digital-intelligent services, promoting digital-intelligent transformation in industrial procurement across strategic consulting and planning, digital-intelligent technical services, and operational value-added services.
As representative products of AI experts, JD Industrials has deployed solutions including AI intelligent procurement管家, AI one-stop design and procurement experts, and AI industrial robot workshops. These solutions integrate multiple business segments within specific scenarios, covering everything from demand insight to decision support, capable of working independently to more effectively help businesses achieve simultaneous improvements in efficiency and experience.
Through deep integration of real business data and vertical scenarios, artificial intelligence has effectively "entered factory workshops," evolving from "test-taking capability" to "business understanding, responsibility handling, and results delivery." The practical application results of JD Industrials' JoyIndustrial industrial AI model demonstrate significant achievements across various scenarios.
In industrial product data standardization, the multi-agent platform Product Check - the first productized full-chain industrial product governance solution - has reduced processing time for hundreds of thousands of products from "month-level" to "hour-level," improving human efficiency by over 10 times. A virtual team comprising 27 intelligent agents has reduced labor costs by more than 80%.
In e-commerce one-stop AI upgrade scenarios, the procurement expert "AI Shopping Guide" serves as an intelligent assistant combining industrial expertise with large models, helping customers reduce selection decision time by 70%, decrease mismatch and rework risks by 60%, and improve order conversion rates by 48%.
In spare parts digital-intelligent maintenance scenarios, the AI maintenance expert "Jingbei Cloud" creates dedicated remote expert teams for enterprises through mobile terminal and cloud platform integration, achieving 30-50% improvement in quality inspection efficiency, over 60% reduction in travel costs, 40% increase in quality issue interception rates, and 25-35% optimization in quality inspection labor costs.
A JD Industrials technical representative stated: "Over the next five years, JD Industrials will develop a batch of high-quality, standardized, transferable industrial supply chain datasets to empower comprehensive implementation of industrial models and intelligent agents. This will drive cost reduction, efficiency improvement, compliance assurance, and supply guarantee in industrial supply chains, using technology to achieve ultimate operational efficiency in the industrial world."
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