Neolix Accelerates Expansion of Its RoboVan Service Model Across China and Internationally

Neolix Accelerates Its RoboVan Service Expansion

Neolix, a leading global provider of autonomous logistics solutions, has made significant strides in its innovative RoboVan-as-a-Service (RaaS) model. This service has emerged as a crucial milestone in the commercialization of on-demand autonomous logistics. The company recently announced plans to broaden its RaaS offering to 50 cities across China while testing international pilots in the UAE, South Korea, Singapore, and Portugal.

After a rapid rollout across several Chinese cities, Neolix's on-demand delivery service has successfully completed over 1.5 million deliveries, accumulating more than 40 million kilometers of autonomous driving. In Qingdao, where this model was first implemented on a large scale, Neolix has established one of the largest fleets of autonomous delivery vehicles in a single city, handling more than 6,500 daily orders. This development underscores a broader shift in the deployment and execution of autonomous delivery solutions.

Unlike traditional models that rely on fixed routes or hardware purchases, Neolix's RaaS approach introduces a network-based, on-demand service model. Users can utilize a mobile interface to summon an autonomous vehicle for point-to-point deliveries, similar to ride-sharing practices. This flexibility significantly addresses the fragmented logistics demands that small to medium enterprises often face, enabling them to operate more efficiently and effectively.

The latest advancements have positioned Neolix to enter a new phase of expansion. With ambitious plans to roll out its RaaS model to 50 Chinese cities within the year, the company's international pilot projects will be essential in understanding how its service can adapt to various urban environments and regulatory frameworks. The aim is to lay the groundwork for a broader global deployment.

Initially tested in partnership with Didi Freight in Qingdao in mid-2025, the RaaS model has been designed to cater to irregular, urgent, or hard-to-standardize logistics needs. By offering flexible routing and usage-based pricing, the service diminishes barriers to adopting autonomous delivery, reducing delivery costs by as much as 50% compared to traditional shipment models — all while enhancing service reliability.

This service targets a significant but historically underserved segment of the urban logistics market, which demands billions of renminbis worth of distribution services across China. A noteworthy share of this demand comes from smaller merchants, wholesalers, retailers, and local service providers with often irregular or immediate needs. Neolix’s RaaS model is developed to accommodate these dynamics by establishing a shared on-demand delivery network capable of supporting various use cases, from retail replenishment to the distribution of fresh produce, pharmaceuticals, and manufactured goods.

The operation is reliant on a blend of vehicle autonomy and an intelligent cloud computing system. Neolix has deployed Level 4 autonomous driving technology on a large scale, allowing its vehicles to operate in complex urban settings without relying heavily on high-definition maps for quicker deployment in new locations. Additionally, a centralized dispatch and coordination system links the vehicles into a unified network, ensuring real-time scheduling and dynamic routing optimization to handle high order volumes effectively.

As Neolix expands its fleet size and geographic coverage, this network-based approach bolsters overall efficiency, reduces response times, and minimizes marginal costs, ultimately enhancing service scalability. The emphasis is shifting from individual vehicles to integrated service networks as autonomous driving technology advances. Neolix aims to make autonomous delivery a shared infrastructure that benefits urban logistics efficiency and drives the digital transformation of supply chains within cities.

As this ambitious growth continues, Neolix envisions its RaaS model playing an increasingly crucial role in developing the next generation of urban logistics solutions, providing a more adaptable alternative to conventional delivery systems.