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China’s Delivery Robots Learn to Tackle Night Shifts

China’s Delivery Robots Learn to Tackle Night Shifts
China's delivery robots are learning to tackle the night shift · CNBC TV 18

Shenzhen is testing driverless vans that carry deliveries at night.

The vans can use roads when there may be less traffic and fewer pedestrians.

Neolix says this could lower costs and make delivery work less tiring for people.

But darkness can make it harder for the vehicles to see.

Headlights, wet roads, speeding cars and people moving unpredictably can also cause problems.

Shenzhen has set routes and safety rules for the trial.

Neolix says its system watches vehicle information and flags possible risks.

The company says its night service now covers 437 routes.

Other companies are also testing nighttime deliveries, including drones.

Key facts

Neolix overnight routes
The company says its service has expanded to 437 routes.
Neolix fleet
Neolix says it operates 27,000 vehicles across 300 cities in 15 countries.
Neolix fleet plans
The company expects its domestic fleet to reach 50,000 vehicles this year and aims to add another 100,000 next year.
Meituan delivery activity
By the end of 2025, its ground vehicles had completed more than 5.5 million outdoor delivery orders and logged over 19 million autonomous kilometers.
JD.com procurement plan
JD.com announced plans to procure 3 million robots, 1 million unmanned vehicles and 100,000 drones over five years.
Chinese city access
More than 100 Chinese cities have opened some roads to unmanned delivery vehicles.
Neolix monitoring
Neolix says its risk system flags 17 categories and its municipal monitoring feed receives 42 vehicle metrics.
JD.com Shenzhen operations
As of August 2026, its logistics subsidiary was operating over 100 autonomous vehicles and more than 100 nighttime routes in Shenzhen.

Quotes

Zhang Chao

Grocery store manager in Shenzhen's Longgang district.

“Night delivery bypasses daytime traffic peaks, activates underutilized late-night road resources, unlocks idle transport capacity, lowers costs, and reduces physical strain on couriers. China has immense nighttime consumption potential.”
NDTV CNBC TV 18
“Our robots must do a lot more than learn how to drive on a flat road. They ultimately need to reach users' doors, understand three-dimensional space, know exactly where to unload, where to stop.”
NDTV

Bill Russo

Founder and chief executive officer of the China-based consultancy Automobility Limited.

“China’s biggest advantage is scale plus ecosystem density. It has enormous parcel volumes, dense cities, sophisticated digital logistics networks, a deep EV and autonomous-driving supply chain, and local governments willing to designate road access and experiment with commercial deployment.”
CNBC TV 18

Sources

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