AI Tool Tackles Hidden Risks in Used Cars
MotorIQ has launched an AI‑driven service called Should I Buy This Car? that aims to fill a gap many used‑car shoppers face: understanding future ownership costs and common problems beyond the standard history report.
How the tool works
The service scans a range of data sources, from owner forums to reliability surveys, to locate recurring faults and maintenance risks for a specific make and model. It then rates each issue by severity, likelihood and typical timing, estimating repair costs where possible.
Unlike a simple vehicle‑history check, the AI also weighs the car’s age and mileage, noting that two cars with similar mileage can have very different risk profiles depending on where they sit in their lifecycle. The output is a PDF report that assigns a “confidence index” score out of 1,000 and lists the evidence or maintenance records a buyer should request during a viewing.
Users generate a report by entering the vehicle’s registration number; no prior knowledge of the model is required. Prices start at £15 per report.
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Industry perspective
Vik Barodia, co‑founder of MotorIQ, said the market has become adept at providing past‑ownership details, but buyers still lack insight into what lies ahead. He noted that many motorists experience surprise repair bills despite performing the checks they believed were sufficient. “History checks remain an essential part of buying used, but they only explain part of the picture,” he explained.
In the broader context, the tool reflects a growing trend toward data‑rich consumer aids in the automotive sector. As vehicles become more technologically complex, the potential for costly maintenance rises, and tools that can predict such expenses may become a standard part of the buying process.
First‑hand test of the service
During a summer trial, the service was applied to a Porsche Boxster with 72,000 miles on the clock. The resulting confidence index was 229, classified as “Low,” indicating a higher probability of expensive repairs and a recommendation for thorough inspection.
The score was low.
The report listed typical issues for the model, paired each with a mileage window, expected cost and impact rating, and provided a likelihood estimate. A dedicated section outlined a step‑by‑step road‑test checklist, and another detailed the documents a buyer should request at the dealership. Both lists were printable, allowing users to tick items off in real time.
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When paired with an Experian AutoCheck history report, the 15‑page PDF served as a detailed guide for assessing the vehicle before purchase.
What buyers can expect
Potential users will receive a single document that combines historical data with predictive insights. The confidence index, scored out of 1,000, gives a quick sense of overall risk, while the detailed sections break down specific problems and how to verify them during a test drive.
Because the service draws from a broad set of data points, it can adapt its recommendations to different makes, models and mileage levels. This flexibility means that two cars with identical mileage may receive vastly different scores if one is known to encounter certain issues earlier in its lifespan.
For buyers who already use a vehicle‑history service, the ability to add an Experian AutoCheck report means they can consolidate all relevant information into one place, simplifying the decision‑making process.
