JD.com expands physical AI in logistics with 3 million robots
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JD.com expands physical AI in logistics with 3 million robots

September 10, 20266 views2 min read

JD.com is expanding its use of AI and robotics in logistics with a new Physical AI Acceleration Plan, aiming to deploy 3 million robots, 1 million autonomous vehicles, and 100,000 delivery drones over five years.

JD.com, one of China's leading e-commerce giants, is taking a major step toward automating its logistics operations by unveiling a comprehensive Physical AI Acceleration Plan. The initiative, announced at the JDDiscovery 2026 conference in Beijing, signals the company’s commitment to integrating artificial intelligence and robotics across its supply chain. The plan aims to deploy 3 million robots, 1 million autonomous vehicles, and 100,000 delivery drones over the next five years.

Expanding Automation Across the Supply Chain

The company's move reflects a broader industry trend toward automation, particularly in the logistics and delivery sectors, where efficiency and cost reduction are paramount. JD.com's logistics arm, JD Logistics, has already made significant strides in this area, with its Wolf Robot series being a key component of the new plan. These industrial robots are designed to perform tasks such as sorting, packing, and moving goods within warehouses, reducing reliance on manual labor and increasing throughput.

Strategic Vision and Market Impact

JD.com's ambitious goals align with the growing demand for smart logistics solutions, especially as e-commerce continues to expand. The integration of AI and robotics not only promises to enhance operational efficiency but also positions JD.com as a leader in the evolving landscape of automated delivery. The company's long-term vision includes creating a fully autonomous logistics ecosystem, which could significantly reshape how goods are moved and delivered in the region.

By investing heavily in physical AI, JD.com is not only responding to internal efficiency needs but also positioning itself at the forefront of a global shift toward smarter, more sustainable logistics solutions.

Source: AI News

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