Cars24, an automotive marketplace, has deployed OpenAI-powered voice and chat agents to handle 1M+ monthly conversation minutes and recover 12% of lost leads.
The company's success demonstrates how AI agents can scale customer interactions while recapturing lost revenue, and the deployment spans multiple teams within the organization, suggesting broader internal use beyond customer support.
What happened
Cars24, an automotive marketplace, deployed OpenAI-powered voice and chat agents to manage customer conversations at scale, handling 1M+ monthly conversation minutes and recovering 12% of lost leads.
Why it matters
For businesses handling high conversation volumes, AI agents can automate routine customer interactions while recovering revenue from customers who might otherwise drop off—in Cars24's case, recapturing 12% of leads that would have been lost.
What to watch
Cars24 has brought agentic workflows (AI-powered decision automation) into teams across the company, suggesting the technology is moving beyond customer-facing support into internal business processes.
Ask the AI about this article →
Cars24's deployment of OpenAI agents addresses a core challenge in high-volume customer-facing businesses: managing scale while maintaining engagement and revenue retention. By automating voice and chat conversations, the company shifts from a purely human-driven model to one where AI handles routine interactions, freeing teams to focus on complex cases. The recovery of 12% of lost leads is a concrete business outcome, suggesting that automated agents catch customers at moments when human response would be delayed or unavailable. The extension of agentic workflows across multiple teams signals that Cars24 is not treating this as a single customer-support tool but as a platform for automating decision-making processes more broadly within the organization—a shift toward company-wide operational use rather than point solutions.
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