The end of approximate valuations
For decades, a used car's value rested on static price guides and professional intuition. The result: two seemingly identical cars could show unjustified price gaps of 15 to 20%. Artificial intelligence is radically changing the game.
How does AI valuation work?
Unlike traditional guides, an AI valuation engine continuously analyses millions of data points: real listings, completed transactions, time-to-sale, seasonality and regional trends. Every vehicle parameter — exact trim, engine, factory options, mileage, history — refines the valuation.
The decisive role of VIN decoding
Valuation accuracy starts with identification quality. Two cars of the same model but different trims can differ by several thousand euros. Starting from the manufacturer VIN, AI valuation prices the real vehicle, not an approximation.
Transparent, explainable scoring
Trust comes from transparency. A good valuation system does not just show a price: it shows the market range, the statistical confidence level and the factors pushing value up or down — desirable options, service history, overall condition.
For sellers and buyers alike
For sellers, a fair valuation speeds up the sale: a correctly positioned vehicle sells twice as fast on average. For buyers, it secures negotiation with factual arguments. That is the MecaSCORE philosophy: turning valuation into a trusted third party between both sides.
What comes next?
The next step is already underway: predictive valuation anticipating a vehicle's depreciation over 6 or 12 months, and AI inspection integration so the actual condition — not just the declared one — feeds the price. Data is becoming the common language of the used-car market.