JD INDUSTRIALS Reports Q1 Profit Surge, Driven by Enhanced AI Capabilities

Stock News05-12

JD INDUSTRIALS (07618) announced its financial results for the first quarter of 2026. The group recorded revenue of 5.659 billion yuan, representing a year-on-year increase of 25.3%. Period profit reached 185 million yuan, marking a 45% increase compared to the same period last year.

During Q1 2026, JD INDUSTRIALS continued to strengthen its industrial supply chain product capabilities. It deepened strategic partnerships with leading suppliers such as SATA Tools, 3M China, and Linde (China) Forklift Truck. By further integrating industrial chain resources and expanding product categories, the company achieved sales synergies, driving accelerated year-on-year revenue growth from key enterprise clients.

Simultaneously, leveraging its strengths, JD INDUSTRIALS promoted industry-wide product standardization and concurrently launched an industrial goods price index. This index, powered by the JoyIndustrial large model, provides enterprises with a credible, transparent, and verifiable benchmark for industrial goods procurement, helping them ensure compliance and enhance operational efficiency.

In the first quarter, to address major pain points such as non-standardized product parameters, long-tail items, and information asymmetry between supply and demand, the company continued to enhance its full-chain AI technology capabilities. It launched nearly 40 AI agents, serving over 3,000 key enterprise clients. AI technology is now widely applied to empower product identification, intelligent matching, bulk ordering, and precise prediction of customer demand.

Furthermore, by driving the development of the Mercator product capability system, AI assists clients in building standardized product databases, further elevating product standardization levels. Additionally, AI has significantly improved workforce efficiency in core roles at JD INDUSTRIALS, including procurement, sales, and product management. AI technology has been comprehensively deployed across multiple business scenarios, optimizing operational efficiency and converting into commercial value.

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