UVeye, CARFAX partner on service-lane inspections

UVeye has announced a new integration with CARFAX that combines vehicle history information with automated vehicle inspections, giving dealerships access to maintenance and recall data during the appraisal and service process.

The integration allows dealerships enrolled in the CARFAX Car Care program to view service history and recall information directly within UVeye’s inspection platform as vehicles enter the service lane.

According to UVeye, its drive-through inspection system uses computer-vision technology to assess a vehicle’s condition by analyzing tires, underbody components and exterior surfaces. The addition of CARFAX data is intended to provide service advisors with a broader view of vehicle health by combining real-time inspection results with historical maintenance records.

“Our goal has always been to give dealers the most complete picture of every vehicle the moment it arrives in their service lane. Through this integration with CARFAX, we’re able to make that picture even sharper,” said Amir Hever, CEO and Co-Founder of UVeye.

“Combining UVeye’s real-world condition intelligence with CARFAX’s trusted historical data inside a single workflow allows advisors to make data-driven recommendations the moment a vehicle enters the lane. For customers, the result is a service conversation built on evidence and transparency, not assumptions. Ultimately, that means more value and safer cars for drivers.”

The companies said the integration can help dealerships identify overdue maintenance items, unresolved recalls and vehicle-condition concerns without requiring staff to switch between multiple systems. The combined workflow is intended to support faster appraisal decisions, service recommendations and customer communications.

UVeye said its technology is currently deployed in more than 1,000 locations globally across dealerships, fleets, auctions, rental operations and OEM logistics facilities. The company said its systems inspect more than three million vehicles each month using a database trained on billions of vehicle images.

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