Jun. 04, 2026
Source:
On June 4, the 2026 Future Commercial Vehicle & Special Purpose Vehicle Technology and Industry Conference was held in Zhengzhou, bringing together industry experts, leading enterprises, and upstream and downstream players to explore innovation and commercialization pathways for intelligent connected commercial vehicles and unmanned special-purpose vehicles.
At the conference, Wang Hanji, Vice President of Rino.ai, was invited to deliver a keynote titled “Beyond Driving: How Rino.ai Rebuilds the Commercial Logic of Autonomous Delivery with ‘Technology + Operations’”. He provided an in-depth analysis of key pain points in the unmanned delivery industry and shared Rino.ai’s practical experience and commercialization strategies in intelligent autonomous delivery.
Breaking Industry Pain Points: Building a Commercial Closed Loop for Autonomous Delivery with “Technology + Operations”
Today, the intelligent autonomous delivery industry is developing rapidly, with continuous iteration in unmanned vehicle technologies. However, the sector still faces core challenges: heavy focus on R&D, weak emphasis on operations, and difficulties in deployment and profitability.
Many companies focus primarily on vehicle development and iteration, staying at the level of “building a good vehicle,” while neglecting real-world operational adaptation, scenario execution, cost control, and service closure. As a result, large-scale, normalized deployment remains difficult, and commercialization progress is slow.
At the conference, Wang Hanji emphasized a core viewpoint: the ultimate competition in autonomous delivery is not about vehicle performance alone, but about the combined capability of technology R&D and scenario-based operations. “Being able to run” is only the baseline—what truly matters is whether vehicles can run stably, efficiently, sustainably, and profitably.
Based on this, Rino.ai moves beyond a hardware-only mindset and traditional “technology-only” development model, building a dual-engine commercialization system driven by technology foundation + operational empowerment, fundamentally reshaping the commercial logic of the autonomous delivery industry.
On the technology side, Rino.ai focuses on core autonomous driving capabilities and builds multi-scenario unmanned delivery solutions. Powered by its full-stack self-developed L4 autonomous driving system, its vehicles can efficiently adapt to complex environments such as industrial parks, residential communities, commercial districts, and public roads, ensuring high safety, stability, and adaptability—forming a solid foundation for large-scale deployment.
On the operational side, Rino.ai breaks away from the traditional model where vehicle delivery marks the end of responsibility. Instead, it builds a full-process, full-lifecycle refined operational service system.
Centered on key areas such as fleet maintenance, scenario adaptation, dispatch optimization, efficiency improvement, cost control, and customer service, the company has established a standardized operational closed loop. It also develops customized operational solutions for different application scenarios, effectively addressing efficiency bottlenecks and profitability challenges after deployment, enabling unmanned delivery systems to transition from “pilot demonstrations” to “routine commercial operations.”
Wang Hanji noted in his speech that the unmanned delivery industry has moved beyond the early trial phase and is now entering a new stage of large-scale deployment and commercial deepening. Going forward, Rino.ai will continue to strengthen its “technology + operations” dual-core strategy, focusing not only on vehicle iteration but also on scenario value mining and business model optimization—using core technology to ensure deployment capability and refined operations to unlock commercial value, thereby building a complete closed loop from innovation to scalable profitability.
The invitation to this industry conference and keynote speech reflects the industry’s recognition of Rino.ai’s technological strength and commercialization achievements. The company will continue to advance intelligent commercial vehicle development, deepen scenario-based operations, and promote the high-quality and sustainable growth of the autonomous delivery industry.
