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Article • mobile-robots

Neolix Expands Autonomous Logistics Across the Middle East and Beyond

ByAyshathul Mushrifa

Neolix showcased the commercial progress of its Level 4 autonomous logistics platform during LEAP East 2026, highlighting how Physical AI is moving from pilot projects to large-scale commercial deployment. The company emphasized that autonomous logistics has become one of the first commercially viable applications of Physical AI, driven by measurable operational efficiency, labor savings, and return on investment.

Neolix currently operates more than 25,000 proprietary RoboVans across 300 cities in over 15 countries, logging approximately 200 million autonomous kilometers. The company reported that deployments with major retail customers have reduced delivery times from six hours to two while significantly lowering last-mile logistics costs. Several hundred autonomous delivery vehicles are already operating continuously across the Middle East.

Will Zhao, Executive President of Neolix, stated:

"Physical AI will scale first in logistics because goods move through high-frequency, measurable networks with clear business outcomes. Autonomous logistics has already progressed from demonstration projects to commercial production, providing customers with operational efficiency and measurable return on investment."

Neolix's autonomous RoboVans utilize proprietary mapless autonomous driving technology designed for structured urban logistics environments. The company is also expanding its Robotics-as-a-Service (RaaS) model, allowing multiple retailers and logistics providers to share the same autonomous fleet across different delivery routes and operating schedules, improving fleet utilization and lowering delivery costs.

The company identified the United Arab Emirates as a major commercial deployment hub while expanding operations across Saudi Arabia, Southeast Asia, and Europe. Looking ahead, Neolix plans to strengthen international partnerships, broaden shared autonomous logistics infrastructure, and accelerate adoption of Physical AI technologies that support scalable, cost-efficient last-mile delivery networks worldwide.