

What's new: Cars24, the used-car marketplace, published results from a year-plus rollout of OpenAI-powered voice and chat agents — the system now handles over 1 million customer conversation minutes a month, and it's not just answering questions.
Why it matters: Most "AI customer service" claims from dealers and platforms are vibes and demo videos. This one has numbers attached, and they're the kind operators actually care about — resolution speed, staff hours, and recovered deals that would otherwise walk.
The catch: This is Cars24's own case study, distributed via OpenAI — not an independent audit. There's no word on cost per conversation, error rates, or what happens when the agent hits something it can't handle. Treat the topline numbers as a strong signal, not gospel, until a third party or a competitor replicates them at similar scale.
Bottom line: If you're still routing appraisal scheduling and lead follow-up through a human phone tree, this is the kind of proof point that should move that project up your list — not because AI is magic, but because recovering abandoned sellers is a number your GM already tracks.

Cars24 handed over 1 million minutes a month of customer calls and chats to OpenAI-powered agents, and the case study shows real numbers, not just a press release: faster resolutions, fewer hours burned, and leads that came back from the dead. Meanwhile BMW and DriveCentric are pushing AI further into the sales conversation, which means the "answering machine" phase of this technology is already over.

2026 survey data shows dealers are pouring budget into AI, with voice agents and speed-to-lead tools topping priority lists — and generating measurable ROI. But most stores are still stuck on surface-level chatbots while GM's bet on Impel signals where the real infrastructure fight is heading: an integrated AI operating layer, not another point solution.