Vehicle shortages beef up demand for shared mobility - but how to control accountability when cars swap hands multiple times a day?

There’s nothing more disappointing than finding your car in bad shape after someone else has used it. Or worse - planning on renting out your car for the day only to realize that one of the headlights is broken. The persisting shortage of personal vehicles for purchase has led many to count on shared mobility.  Ride-hailing services, including Uber and Lyft, as well as professional car-sharing fleets, such as ZipCar, Car2Go, and peer-to-peer platforms like Turo and Getaround, make it easy to quickly access a car. These services rely on a sense of community, with peer-to-peer reviews and voluntary reporting.

Statistically, every 5 seconds a vehicle around the world experiences some form of damage. This ranges from the most cautious drivers to reckless ones. When an expensive piece of metal is driven by an occasional driver in the open space, lots of damage can happen. The vast majority of damages are cosmetic - dents, scratches, and chips - however, the financial cost is exorbitant, and can range from $300 to even $10,000 per case. Therefore, it is necessary to have a quick and objective tool that scans a vehicle before and after each usage.

Ravin.ai offers a web-based, off-the-shelf, mobile application that guides an ordinary renter to scan the condition of the vehicle and document damage in real-time. A seamless, digital record of the vehicle is created, enabling peace of mind for both renters and fleet operators. Knowing the vehicle’s condition before and after each drive together with proper documentation creates trust and transparency if a claim or dispute would occur.

There are 2 ways to scan a car. The first, RAVIN Inspect, a mobile scan, can easily be embedded inside a car-sharing app or as a standalone web page. It’s complemented by a remote review dashboard, known as the RAVIN EYE. Together, these high-powered AI tools capture and report any and all vehicle damage. The second, AUTOSCAN, is a cost-effective solution as stationary cameras seamlessly document damage as vehicles drive through. Regardless of how the images were captured, (mobile scan or stationary cameras), a report is created to conclude the process. The report is retrieved electronically and can be exported via PDF, email, as a file, or API call to any fleet management tool or shared with the customer.

Keeping accountability of the fleet, reducing operational cost, and repairing any damage ensures a safer, seamless, and trusted motor industry to any car owner, renter, or sharer. Guaranteeing safe handoffs with minimal time, full transparency, and optimal damage recovery improves customer satisfaction, experience, and retention.

So next time you own, rent, lend, or borrow a car, you no longer have to worry about damage that wasn’t yours, a subjective inspection process, or unfair charges. Instead, you can feel comfortable knowing there’s full transparency, accountability, and accuracy as you sit back and enjoy your ride. Interested in a demo? Ping us at info@ravin.ai or fill out your details on our web page.