Confronted with increasingly complex breakdowns and recruitment challenges, Renault has unveiled its strategy to modernize its workshops. The plan hinges on three AI-based innovations: a “Shazam” for noises, a remote diagnostic tool, and a painting robot.
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A “Shazam” for Unusual Car Noises
Every driver is familiar with this scenario: a strange noise from your car that’s hard to pinpoint but sends you straight to the mechanic. To support its technicians, Renault has developed an AI that can analyze vehicle sounds.
This tool, which is currently being rolled out, utilizes a database of nearly 2,000 different sounds. Mechanics can record the noise using their smartphone, and the AI assists in identifying the likely cause of the malfunction. Eventually, customers will even be able to send a recording directly from their car.
Diag Predict: The AI That Foresees Breakdowns
The second tool, named “Diag Predict,” is set to be launched in 2026. The idea is to use data sent by connected vehicles (starting with the Mégane E-Tech) to predict breakdowns before the car even arrives at the workshop.
By analyzing error codes remotely, the AI can predict which parts will be needed for the repair. The aim is to better schedule appointments, order parts in advance, and prevent unnecessary customer visits.
A Painting Robot to Assist Bodywork Technicians
Lastly, Renault has introduced a prototype painting robot developed by its subsidiary Ixell. Its role is not to replace bodywork painters but to assist them with the most repetitive and least rewarding tasks.
For instance, it could handle the painting of simple components like a hood, ensuring flawless application, even with tricky colors like the new green for the upcoming Twingo.
What’s the Verdict?
Renault’s approach is pragmatic. Instead of dreaming of an AI that does everything, they are using technology to tackle very real issues: the challenge of diagnosing complex breakdowns and the shortage of skilled labor in workshops. It’s a smart move.
However, it raises the question of whether these tools will truly benefit the end customer, or if they are primarily aimed at optimizing Renault’s costs and logistics. The old joke “Renault, a new noise every day” comes from a longstanding background. One hopes this AI isn’t just a high-tech band-aid.
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This strategy is in contrast to that of Apple, which also uses AI for diagnostics (like battery health), but in a way that is completely invisible to the user. Renault, on the other hand, chooses to make its tools visible. It remains to be seen which approach is more effective. And you, are you okay with AI fixing your car?
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