JINGDONG Industrials’ JoyIndustrial LLM Featured in World Economic Forum Human-Led AI White Paper at Summer Davos 2026

The World Economic Forum has highlighted JINGDONG Industrials, a leading industrial supply chain technology and service provider under JD.com, for its ability to harness the power of AI in its newly released white paper, “ Asia’s Human-led AI Opportunity: A Framework for Transformation .” Published ahead of the Annual Meeting of the New Champions, also known as Summer Davos, the report examines how the company leverages AI to establish unified industry standards and a shared digital ecosystem, unlocking a leap in supply chain productivity while elevating the role of human capital from routine labor to high-value innovation. This recognition comes amid growing discussions across the globe about scaling AI to fuel real economic change. The white paper identifies a major bottleneck in the current technology landscape, noting that while 77% of organisations across Asia have adopted advanced AI, fewer than a third have managed to extract sustained, systemic value. The report argues that the primary challenge is no longer technological capability, but rather a lack of shared infrastructure and end-to-end process integration across value chains. The solution developed by JINGDONG Industrials directly solves one of the most persistent inefficiencies in the industrial sector, which is highly fragmented product data. Historically, inconsistent technical specifications and naming conventions across different suppliers have driven up transaction costs and stalled procurement. To bridge this gap, the company leverages its proprietary JoyIndustrial LLM alongside the Mercator Standard Product Library . Together, they establish a unified digital parameter system and identical product algorithms, creating a standard data ecosystem that eliminates redundancy and ensures high-quality data integration. At the operational core of this architecture is IndLens , a state-of-the-art product data governance platform powered by 27 autonomous AI agents. IndLens compresses data processing timelines from months to mere hours, delivering a tenfold increase in efficiency and an 80% reduction in manual labour costs. This shift effectively automates repetitive data management, allowing the industrial workforce to pivot away from manual input and focus on strategic, high-value innovation. “Scaling AI is fundamentally a human systems challenge that requires treating workflow redesign as a primary agenda rather than a secondary effect,” said Maria Basso, Head AI Applications and Impact at the World Economic Forum . “As organizations scale AI,success will depend on shared data standards, interoperable platforms, and effective collaboration to bridge the gap between AI deployment and sustainable, ecosystem-wide value creation.” This structural approach underpins an expanding commercial footprint. In the first quarter of 2026 alone, the company used nearly 40 specialised AI agents, supporting over 3,000 major corporate clients. Today, its JoyIndustrial LLM and digital supply chain solutions optimise procurement, demand forecasting, and automated ordering for an expansive roster of large-scale enterprises, including Fortune Global 500 companies. To drive industry-wide modernisation, JINGDONG Industrials also launched the Baichuan Initiative. This collaborative programme invites upstream and downstream partners to co-develop an industrial ecosystem across data, models, and commercial applications. By sharing its digital infrastructure, the company enables partners, many of whom possess valuable specialist data but lack the resources to train standalone models, to unlock clear, measurable value. Ultimately, this technological evolution is designed to elevate the role of the workforce within the industrial sector. By positioning AI as supportive infrastructure, the company aims to foster a collaborative environment in which technology manages complexity and humans drive creative breakthroughs. “Our philosophy is simple: let AI handle the heavy lifting of industrial data management so that humans can be redeployed toward strategic growth and business breakthroughs,” said a spokesperson for JINGDONG Industrials. “Through the continuous evolution of our JoyIndustrial LLM and initiatives like Baichuan, we are committed to sharing a standardised digital framework with our global partners to build a more streamlined, resilient, and human-centric industrial ecosystem.”