Jul 2, 2026|
JINGDONG Industrials’ JoyIndustrial LLM Featured in World Economic Forum Human-Led AI White Paper at Summer Davos 2026
- JINGDONG Industrials’ supply chain innovation has been highlighted in the World Economic Forum’s new AI white paper at Summer Davos 2026.
- The company’s AI-powered data platform, IndLens, uses 27 autonomous agents to compress data processing times from months to hours, boosting efficiency tenfold.
- By automating tedious and repetitive data tasks, JINGDONG Industrials’ technology frees workers to focus on innovation, driving growth for corporate clients and partners.
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.”
(vivian.yang@jd.com)
Jun 23, 2026|
JINGDONG Logistics Joins First Movers Coalition to Scale Zero-Emission Trucking
- JINGDONG Logistics joined the World Economic Forum’s First Movers Coalition (FMC), becoming the initiative’s first member company from China.
- The company pledges to cut its road freight emissions by adopting zero-emission medium and heavy trucks in its operations by 2030.
- Joining over 100 global companies, JINGDONG Logistics will leverage its purchasing power to accelerate the commercial scaling of clean energy technologies in long-haul transport.
June 23, 2026, DALIAN, CHINA — At the 17th Annual Meeting of the New Champions (Summer Davos), JINGDONG Logistics announced its official membership in the World Economic Forum’s First Movers Coalition (FMC). This marks JINGDONG Logistics as the first company from China to join the global decarbonization initiative.
As part of its commitment to the trucking sector, JINGDONG Logistics pledges that by 2030, at least 30% of its newly procured heavy-duty trucks and 100% of its medium-duty trucks will be zero-emission vehicles, or, alternatively, that 15% of its overall road freight operations will achieve net-zero emissions.
Sebastian Buckup, Managing Director at the World Economic Forum and head of the Centre for Nature and Climate, commented: “We are delighted to welcome JINGDONG Logistics as the first company from China to join the First Movers Coalition. By committing to scale zero-emission trucking across its operations, JINGDONG Logistics is sending a powerful market signal that will help accelerate the of clean freight technologies. This commitment demonstrates how leading companies can use their purchasing power to drive industrial transformation, strengthen supply chain resilience and advance the transition to a net-zero economy.”
A spokesperson of JINGDONG Logistics said：”Logistics is more than just a bridge connecting production and consumption; it should be a pioneering force driving global sustainable development. Joining the First Movers Coalition reflects the company’s commitment to a greener future and represents a strategic choice to transform our supply chain purchasing power into real momentum for decarbonization. We look forward to taking collective action with our global partners to reshape the future of logistics through green practices.”
The First Movers Coalition is a global initiative that helps to commercialise zero-carbon technologies in hard-to-abate sectors, such as trucking, shipping, and steel, which account for 30% of global emissions. By joining global companies in the FMC, JINGDONG Logistics aims to contribute to the commercial-scale decarbonization of long-haul transportation.
As a supply chain solutions provider, JINGDONG Logistics has integrated sustainability into its operations, setting validated Science-Based Targets (SBTi) and a net-zero pledge across its entire value chain by 2050. The company reduces road freight emissions by operating a fleet of over 14,000 self-owned new-energy vehicles, operating regular hydrogen-powered and electric heavy-duty truck routes, and shifting more freight to railways.
JINGDONG Logistics leverages its self-developed Supply Chain Emission Management Platform (SCEMP) platform, which uses AI to track real-time vehicle data, calculate carbon footprints, and optimize routes. While balancing environmental protection with operational efficiency, it helps enterprises cut costs, improve overall performance, and achieve carbon reduction simultaneously.
(vivian.yang@jd.com)
JD Logistics CEO on Chinese National TV: Technology Innovation as a Catalyst for High Quality Economic Development in China
