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JD.com to deploy 3 million robots to fully automate logistics

Chinese e-commerce giant JD.com plans to deploy 3 million robots, 1 million unstaffed vehicles, and 100,000 delivery drones over the next five years to fully automate its logistics network. The company also committed to retraining its 700,000 logistics personnel for techn…

By Ben Jiang·Sep 9·scmp.com·3 min read

Intelligence analysis by Gemini 2.5 Flash

JD.com to deploy 3 million robots to fully automate logistics
Image: scmp.com

JD.com is making a massive investment in automation, aiming to transform its entire supply chain with millions of robots and autonomous vehicles. This ambitious plan, spearheaded by its logistics arm, seeks to handle repetitive and challenging tasks with minimal human intervention, while simultaneously addressing potential job losses through a comprehensive retraining program for its …

Why it matters

This story highlights a significant real-world application of AI and robotics at an unprecedented scale within a major e-commerce operation, demonstrating how advanced automation is reshaping global logistics and workforce strategies. It also showcases a proactive approach to managing the societal impact of AI-driven job displacement through large-scale retraining initiatives.

Imagine a giant online store that wants to deliver packages super fast. Instead of people doing all the heavy lifting and driving, this store, JD.com, is getting millions of smart robots and flying drones to do the work! They'll pick, sort, and deliver packages all by themselves. But don't worry, the people who used to do those jobs will learn new skills, like how to fix and take care of these robots, so they can still have cool jobs.

Analysis

JD.com's announcement marks a pivotal moment in the integration of artificial intelligence and robotics into large-scale commercial operations, particularly within the logistics sector. The sheer volume of planned deployments—3 million robots, 1 million unstaffed vehicles, and 100,000 delivery drones—underscores a profound commitment to a fully automated supply chain. This initiative is not merely about incremental improvements but represents a fundamental shift in how goods will be handled, sorted, transported, and delivered across China.

JD Logistics

JD Logistics, the e-commerce giant's dedicated arm, is at the forefront of this automation drive. The company's chairman of the technology committee, Cao Peng, outlined the ambitious five-year procurement plan, emphasizing the goal of creating a supply chain that operates with minimal human intervention. This strategic move is designed to enhance efficiency, reduce operational costs, and improve service reliability, especially for tasks that are repetitive, labor-intensive, or performed in challenging environments. The scale of this deployment positions JD Logistics as a global leader in automated logistics, potentially setting new industry benchmarks for efficiency and technological integration.

Wolf Robot series

The core of JD.com's automation strategy is its industrial Wolf Robot series, unveiled at a recent event in Beijing. Liu Lige, head of embodied intelligence robots at JD Logistics, detailed the capabilities of these specialized units. The Wolf Robot system is engineered to perform a wide array of tasks, including picking, sorting, transporting, and delivering goods. Notably, the line-up includes units capable of operating in extreme conditions, such as temperatures down to minus 20 degrees Celsius, alongside automated pharmacy dispatchers and delivery drones. This versatility allows JD.com to automate diverse aspects of its supply chain, from cold storage facilities to last-mile delivery, significantly expanding the scope of robotic application.

Nirvana Plan

Recognizing the potential for significant job displacement among its approximately 700,000 delivery and logistics personnel, JD.com has introduced the 'Nirvana Plan.' This initiative, outlined by founder Liu Qiangdong, aims to retrain existing couriers and warehouse staff for more technical roles, such as robot servicing and maintenance. The plan is a proactive measure to ensure that frontline workers are retained and upskilled rather than simply replaced by automation. This approach highlights a growing awareness within major corporations about the social responsibilities associated with large-scale AI and robotics adoption, seeking to balance technological advancement with workforce stability and development.

Key points

  • JD.com plans to deploy 3 million robots, 1 million unstaffed vehicles, and 100,000 delivery drones over five years.
  • The goal is to fully automate its nationwide logistics network, handling repetitive and challenging tasks.
  • The Wolf Robot series includes specialized units for cold environments and automated pharmacy dispatchers.
  • JD.com employs around 700,000 delivery and logistics personnel.
  • The 'Nirvana Plan' aims to retrain existing staff for technical roles like robot servicing and maintenance.
The Upside

The widespread deployment of robots and autonomous vehicles could significantly boost efficiency and speed in logistics, leading to faster deliveries and reduced operational costs for JD.com. The 'Nirvana Plan' offers a positive model for workforce transition, potentially creating new, higher-skilled technical jobs for existing employees in robot maintenance and operation.

The Downside

Despite the retraining efforts, the sheer scale of automation could still lead to significant job displacement if the new technical roles cannot absorb the large number of affected workers. There's also a risk of high initial investment costs and potential technical challenges in integrating such a vast and complex automated system across a nationwide network.

Originally reported at

scmp.com

Discernion covers the story. Read the full piece at the source.

Tagsairoboticsautomationlogisticse-commercechinasupply-chain

Author

Ben Jiang

Intelligence analysis by

Gemini 2.5 Flash

Published

Sep 9, 2026

Source

scmp.com

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Topics

airoboticsautomationlogisticse-commercechinasupply-chain

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