Apr. 01, 2026
Source:
In March, Rino.ai, a leading L4 autonomous driving company, continued to accelerate its commercialization in the Autonomous Delivery Vehicles sector. Through large-scale deployments across multiple cities, deep integration with leading platforms, full-scenario compliant operations, and forward-looking core technology development, the company is consistently unlocking commercial value and strengthening its leadership in the Robovan space. This further expands growth potential in the billion-scale Autonomous Vehicles in Logistics and Autonomous Delivery Service market.
On March 16, Rino.ai, in collaboration with SF Same City, officially launched a driverless freight C-end service in Weifang, Shandong, deploying dozens of Autonomous Delivery Vehicles into large-scale commercial operation. The service targets individual users and small-to-medium merchants, providing intra-city small-batch heavy cargo transportation through an innovative “Autonomous Vehicle For Multi-Stop Delivery” + unmanned transport model.
This deployment introduces a fully digital experience of on-demand booking, instant dispatch, and autonomous fulfillment, filling a critical gap in Last-Mile Delivery Solutions for medium-weight goods. The launch promotion of “first order for 0.01 RMB” quickly drove strong user engagement, validating the commercial viability of Autonomous Delivery Service in the C-end market and laying the foundation for nationwide replication.
On March 12, Rino.ai obtained the first batch of functional autonomous logistics vehicle licenses in Zhuhai, launching an initial three-route network supporting SF Express hub-to-hub transfer operations, with plans to scale up to 45 routes and deploy 65 vehicles, building a benchmark Autonomous Urban Delivery Van operation network in the city.
On March 18, the company also secured the first batch of similar licenses in Zhongshan, simultaneously launching dual scenarios including SF Express logistics transfer and public bus catering services, with a planned expansion to 55 routes and 60 vehicles, enabling multi-scenario compliant operations.
On March 26, in collaboration with SF Express, Rino.ai launched Dongguan’s first Autonomous Delivery Vehicle route, focusing on 3–5 km middle-mile transfer scenarios. The initial deployment of 50 vehicles significantly improved Middle Mile Logistics Solutions efficiency and last-mile connectivity.
The rapid rollout across Zhuhai, Zhongshan, and Dongguan demonstrates accelerated expansion in the Greater Bay Area. With regulatory approvals, operational scale, and deep partnerships forming a strong three-layer barrier, Rino.ai is becoming one of the few companies in China capable of cross-city scalability and commercially viable Autonomous Vehicles for Logistics and Shipping operations.
On March 25, Rino.ai President Huang Gang was invited to attend the 2026 Commercial Vehicle Industry Development Closed-Door Conference, where he represented the Robovan sector as the only dedicated company participant and shared insights on industry development.
Focusing on key topics such as commercial vehicle intelligence upgrades, large-scale deployment of unmanned freight, and last-mile logistics efficiency improvement, he presented Rino.ai’s practical experience in Rino RX cargo van development, scenario-based operations, cross-city replication, and regulatory compliance.
He emphasized the importance of industry-wide collaboration to further advance road access policies, technical standards, and operational frameworks, enabling the unmanned commercial vehicle sector to evolve from isolated breakthroughs toward a more integrated ecosystem. This, in turn, would accelerate the transition of Autonomous Delivery Vehicles for Multi-Stop Delivery solutions from pilot projects to sustainable, scalable industry adoption.
Rino.ai was honored with a commemorative banner from the Langfang Public Security Bureau in Hebei Province for its contribution to anti-fraud public awareness campaigns.
As part of its corporate social responsibility initiatives, Rino.ai has integrated anti-fraud messaging into its daily operations by displaying warning slogans on its Autonomous Delivery Vehicles in Langfang. Through mobile, high-frequency exposure, the fleet provides continuous public education on fraud prevention, significantly expanding the reach and effectiveness of awareness efforts and supporting local police in strengthening community safety.
For its tangible contributions to public welfare and fraud prevention communication, Rino.ai received formal recognition from the local police authority, highlighting the positive social value created through police–enterprise collaboration in building a safer urban environment.
On March 13, Rino.ai CTO Xia Tian gave an exclusive interview to Zhiche Planet, where he offered forward-looking insights into the industry.
He noted that the competitive advantage window for autonomous driving algorithms is only about six months, and that the real determining factor for the industry’s next stage is AI engineering infrastructure. He also predicted that around 2030, autonomous driving may reach an AGI-like inflection point, where a unified model can adapt across different vehicles and scenarios.
To prepare for this transition, Rino.ai has been proactively building its position by locking in hardware platforms and establishing a robust data infrastructure foundation, aiming to secure a leading position in the next generation of Autonomous Vehicles in Logistics and L4 autonomous driving company development.
In March, Rino.ai, a leading L4 autonomous driving company, continued to advance its commercialization strategy through multi-city expansion, C-end service growth, regulatory compliance strengthening, and long-term technology development.
The company steadily fulfilled its commercial commitments, transitioning from the technology validation stage into a critical phase of scalable profitability. As a rare fully integrated Robovan player in China with end-to-end capabilities in both technology and operations, Rino.ai continues to amplify its core advantages across technology, application scenarios, ecosystem partnerships, and regulatory compliance.
This clear value growth trajectory further accelerates the upgrade of China’s Autonomous Vehicles in Logistics ecosystem, contributing to the broader development of smart urban logistics and enabling wider adoption of Autonomous Delivery Service, Last-Mile Delivery Solutions, and Middle-Mile Logistics Solutions.
