– JINGDONG Industrials’ supply chain innovations highlighted in the World Economic Forum’s new AI white paper at Davos Summer 2026. – IndLens, the company’s AI-powered data platform, uses 27 autonomous agents to compress data processing time from months to hours, increasing efficiency by 10x. – JINGDONG Industrials’ technology automates boring and repetitive data tasks, freeing up employees to focus on innovation and driving growth for enterprise customers and partners.
— The World Economic Forum highlighted the ability of JINGDONG Industrials, a leading industrial supply chain technology and services provider, part of JD.com, to harness the power of AI in its newly released white paper, “Asia’s Human-Driven AI Opportunity: A Framework for Transformation.” Published in advance of the New Champions Annual Meeting, also known as Summer Davos, the report examines how the company is leveraging AI to establish unified industry standards and a shared digital ecosystem, enabling breakthroughs in supply chain productivity while elevating the role of human capital from routine labor to high-value innovation.
This recognition comes amid a growing conversation around the world about augmenting AI to drive real economic change. The white paper identifies major bottlenecks in the current technology landscape, noting that while 77% of organizations across Asia have deployed advanced AI, less than a third are able to derive lasting systemic value. The report argues that the main challenge is no longer technological capabilities, but a lack of shared infrastructure and end-to-end process integration across the value chain.
The solution developed by JINGDONG Industrials directly addresses one of the most persistent inefficiencies in the industrial sector: highly fragmented product data. Historically, inconsistent technical specifications and naming conventions across different suppliers have driven up transaction costs and stalled procurement. To fill this gap, the company has created a unique JoyIndustrial LLM together with Mercator standard product library. These establish integrated digital parameter systems and identical product algorithms, creating a standard data ecosystem that eliminates redundancy and ensures high-quality data integration.
The operational core of this architecture is indian lensesa cutting-edge product data governance platform powered by 27 autonomous AI agents. IndLens reduces data processing timelines from months to just hours, increasing efficiency by 10x and reducing manual labor costs by 80%. This migration effectively automates repetitive data management, allowing industrial workforces to move away from manual input and focus on strategic, high-value innovation.
“Scaling AI is fundamentally a human systems challenge, and workflow redesign must be treated as a primary challenge rather than a secondary effect,” he said. Maria Basso, Head of 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 adoption and sustainable ecosystem-wide value creation.”
This structural approach supports the expansion of our commercial footprint. In the first quarter of 2026 alone, the company used nearly 40 specialized AI agents to support over 3,000 large enterprise customers. Today, the company’s JoyIndustrial LLM and digital supply chain solutions optimize sourcing, demand forecasting, and automated ordering for a wide range of large enterprises, including Fortune Global 500 companies.
To promote industry-wide modernization, JINGDONG Industrials also launched the Baichuan Initiative. This collaborative program 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 its partners, many of whom have valuable expert data but lack the resources to train standalone models, to derive clear and measurable value.
Ultimately, this technological evolution aims to enhance the role of the workforce in the industrial sector. By positioning AI as a supporting infrastructure, the company aims to foster a collaborative environment where technology manages complexity and humans drive creative breakthroughs.
“Our philosophy is simple: Let AI do the heavy lifting of industrial data management, allowing us to redeploy humans for strategic growth and business breakthroughs,” said Mr. A. Public relations officer of JINGDONG Industrials. “Through JoyIndustrial LLM’s continued evolution and efforts like Baichuan, we are committed to sharing standardized digital frameworks with our global partners and building a more streamlined, resilient, and human-centered industrial ecosystem.”
Release ID: 89196703
If you encounter any issues, inconsistencies or concerns regarding the content provided in this press release that require your attention, or if you require the press release to be removed, please contact us without delay at error@releasecontact.com (it is important to note that this email is the authorized channel for such issues, and sending multiple emails to multiple addresses will not necessarily help expedite your request). Our response team is available 24 hours a day to respond to your concerns within 8 hours and take the necessary steps to fix any identified issues or guide you through the removal process. Ensuring accurate and reliable information is fundamental to our mission.
