Issues with AI Damage Scanners at Car Rental Companies
It seems that Hertz isn’t the only car rental company facing backlash over AI-driven damage scanners. Sixt, a German competitor with over 100 locations across 25 states in the US, reportedly keeps fabricated repair bills for existing damages.
Sixt employs a system known as “car gate,” which takes photos of vehicles at both pick-up and drop-off. However, customers have voiced concerns about inaccuracies in these AI scans, particularly regarding wheel damage detected from initial pickup photos instead of return images.
Staff review alleged damages before passing on fees to customers, but two recent incidents highlighted a serious flaw in this process. In one case, a customer named Buddy rented a Mazda CX-50 from Sixt at Atlanta’s Hartsfield Airport and later received a bill of $605.82 for suspected wheel damage.
When Buddy inquired about the evidence, Sixt initially provided a photo that seemed to show the wheels in good condition. Only after zooming in could the scuff marks be seen.
However, upon further inspection, Buddy noticed that the photo timestamps indicated it was taken when he picked up the car, raising questions about the legitimacy of the damage claim. “I contacted Sixt immediately and pointed out they were using the wrong photos,” Buddy recounted.
After escalating the issue to management, Sixt dropped the claim. Buddy suggested that if they hadn’t accidentally shared the exit photos, the issue might have gone unresolved.
Another customer, Ray, encountered a similar problem after renting a vehicle at Ronald Reagan National Airport in Washington, DC. Following a return during inclement weather, Ray received a notification about minor scratches noted on the wheels and fenders. Yet, the accompanying photos showed the car completely dry, raising suspicions about their authenticity.
Upon close examination, Ray found that the images were timestamped from the initial pick-up and not the return, which led to the claim being closed quickly after he raised concerns.
Both instances involved minor cosmetic issues that could typically fall under normal wear and tear. Customers were able to contest these claims successfully when they identified errors in the timestamps.
When asked for comment, Sixt acknowledged the inconvenience caused and stated that the experiences did not reflect their service standards. “In rare cases, discrepancies arise,” they noted, emphasizing their commitment to thorough reviews based on customer feedback.
This situation aligns with complaints from Hertz customers who also reported being charged substantial amounts for minor scratches detected by AI. The technology has been criticized for its reliability, with customers feeling there’s little recourse to challenge these claims.
Sixt expressed a commitment to vehicle quality and transparency, stating that they photograph each vehicle at designated sites before and after rentals to ensure evidence is available. They also highlighted that human experts make all final decisions, with technology functioning as a supportive tool.
Meanwhile, the trend of using digital scanning technology seems to be growing across the car rental industry. Reports suggest that scanning systems are now in place at AVIS and Enterprise locations, particularly at major airports.
While Hertz is actively advancing this technology and aims to implement it at more than 100 airport sites by the end of 2025, other companies, like Avis, have claimed that their damage assessment process remains chiefly guided by human judgment. Enterprise has explicitly stated they do not use digital scanners in their damage review processes.
The growth of AI in car rentals raises questions about how technology should be implemented without compromising customer trust. A fair customer experience remains a high priority across the industry.
