Event Recap | Kai Yan, VP of Carlinx Technology: How Could Data Intelligence Transform the Ecosystem of Commercial Vehicle

On November 10, the 2025 China Commercial Vehicle New Ecosystem Forum was held in Wuhan, China. Themed "Intelligent Connectivity for a Shared Success", the conference convened OEMs and industry experts to explore the intelligent transformation of global automakers, which offered a data-driven perspective from China.

Kai Yan, Vice President of Carlinx Technology, was invited to share insights on the topic of "Realizing the Transformative Potential of Intelligence".

Speech Excerpt:

Kai Yan highlighted that, the intelligent transform of commercial vehicles is never a "straightforward shift" of fancy functions from passenger vehicles, but rather a systemic project centered on TCO (total cost of ownership) reduction that translates vehicle data into palpable gains for stakeholders.

Driven by Economic Value, Instead of "User Experience"

Commercial and passenger vehicles differ fundamentally in function, and so do their approaches to intelligent transformation. "If the intelligence of passenger vehicles is experience-driven, focusing on smart cabins and ADAS, then that of commercial vehicles is entirely driven by economic value, centering on TCO and operational efficiency for fleet owners," stated Kai Yan. "Commercial vehicles are tools of production. Every intelligent component integrated to them must answer one key question: Can it deliver lower fuel consumption, reduced maintenance cost, higher operation availability, and lower insurance premiums?"

Redefining Core Scenarios with "Lean Data Acquisition"

"In the past, commercial vehicle connectivity primarily focused on monitoring where a vehicle is. Today, however, the focus has shifted to understanding vehicle condition, driver's safety, and operational efficiency." This is precisely where Hyper Flow, Carlinx's data acquisition platform, can make a difference, addressing the limitations of traditional "cloud-Connectivity-device" architecture, which often relies on coarse data collection and rigid configuration.

Kai Yan explained: "Our platform offers highly flexible in configuration capabilities. Based on vehicle type and operational scenario—such as cold chain logistics, hazardous chemicals transport, or long-haul routes—the cloud can dynamically deploy tailored edge-computing and data synchronization rules to the AI agent onboard. At the vehicle level, the edge computing system analyzes data in real time and uploads only the most valuable information. This not only reduces data transmission costs but also ensures that intelligence is embedded into the data right from the origin."

Bridging B2B and B2C Ecosystems for Cost Reduction and Operational Efficiency

When discussing how to integrate with the B2C ecosystem, to achieve cost effectiveness, Kai Yan revealed a core challenge in the current landscape: the flow of information between the B-end (fleets) and the C-end (platforms) is fragmented. Fleets seek stable cargo sources and lower operation costs, while platforms require efficient, secure, and reliable mobility capacity. "The role of Carlinx has evolved from fleet management to ecosystem connectivity. Our fleet management platform (Hyper Fleet) serves not only as a digital steward for B-end fleet but also as a data hub linking them to the C-end ecosystem."

This synergy is evident at two levels:

Trust-Driven Efficiency Realized Through a Data Closed Loop: The platform shares anonymized and standard vehicle health data and driver ratings with B2C partners, through a multi-rule sharing mechanism. For these platforms, a vehicle certified with a "Health Score" and "Safety Score" means lower risk of accident and better OTP, making it more likely to receive orders. This optimizes the allocation of mobility and reduces the fleet's idle time.

Closed-Loop Cost Reduction via Intelligent Applications: The trusted data loop translates into direct financial benefits for fleets. By integrating Carlinx's insurance ecosystem, the platform enables Usage-Based Insurance (UBI). Fleets with higher safety ratings and well-maintained vehicles qualify for lower premiums. Additionally, AI-based diagnostics and predictive maintenance further reduce the repair costs, leading to significant TCO reductions.

Carlinx Technology commits to building an integrated data loop—from "Lean Acquisition" at the vehicle edge, to cloud-base intelligent management, and shared access across our partner ecosystem. In the future, this commitment will not only enhance operation efficiency of every vehicle and fleet, but also redefine the entire commercial mobility sector through reliability and transparency—making every mile more valuable.