PAVE is designed to match the accuracy of in-person inspections, though some limitations in damage detection may occur when relying solely on analyzing photos.
PAVE is designed to match the accuracy of in-person inspections, despite some limitations in damage detection from photos alone. PAVE's grading capabilities have been extensively tested and improved over the past two years with the help of one of North America's largest auto auctions. In April 2022, the most recent test was conducted, comparing the PAVE reports for 200 vehicles to the in-person inspection reports from the auction.
Our User Acceptance Testing has shown that users are less likely to complete the inspection process if it requires more than 13 photos and takes longer than 3 minutes. As a result, a complete interior inspection using PAVE's approach is not feasible. However, the grading algorithm accounts for the interior to be in similar condition to the exterior. Tests have shown that when PAVE grades a vehicle as being in Poor Condition, it is expected that the interior will also be in poor condition.
PAVE inspects all glass surfaces for cracks, chips, scratches, and stars. On average, 70% of these types of damages can be seen in the photos captured. However, small chips and stars in a windshield may not be visible in the photos and therefore, undetectable by PAVE.
Detection of previous paintwork is best done with a paint gauge to measure the thickness of paint on each panel. PAVE will detect mismatched paintwork and misaligned panels, but it cannot effectively detect previous accidents. We recommend checking the vehicle's history report to confirm any reported accidents.
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