How Cars24 Leverages OpenAI to Transform Car Buying and Internal Operations

How Cars24 Leverages OpenAI to Transform Car Buying and Internal Operations

Cars24, which operates one of the world's largest AI-native automotive ecosystems for buying and selling cars across India, the UAE, and Australia, has integrated OpenAI technology across both customer-facing and internal operations. The company now handles over one million monthly conversation minutes through AI agents, achieving a 50% increase in customer support resolution rates and an 80% reduction in turnaround time across key service workflows.

AI Agents Reshape the Customer Journey

Unlike conventional e-commerce, buying or selling a car in India rarely concludes in a single session. The process spans calls, document verification, and follow-ups that can stretch over days or weeks. As Cars24 scaled, maintaining consistent quality across millions of interactions without continuously expanding operational teams became a central challenge.

To address this, Cars24 built AI-powered voice and chat agents using OpenAI APIs that support customers throughout the entire car ownership journey — from discovery and financing to resale and after-sales service.

When a buyer contacts Cars24, an AI agent inquires about their budget, family size, commute needs, and preferred car type. It then recommends vehicles from the catalog, books test drives, and assists with financing exploration. Before the test drive, the agent follows up to confirm the visit, suggest alternatives if preferences have shifted, and gather additional financing details. After the visit, the AI agent checks whether the customer wants to proceed, schedule another visit, or explore different options. Post-purchase, agents continue supporting customers with feedback, warranty questions, returns, and after-sales service.

For sellers, the workflow mirrors this approach. An AI agent collects vehicle details, schedules inspections, sends reminders, helps reschedule missed appointments, and gathers competitive insights if a customer has sold their car elsewhere. For leads that previously dropped out after ten days, AI agents now re-engage customers, qualify renewed intent, and return them to the funnel when Cars24 can meet their price expectations — recovering 12% of previously lost seller leads.

"Buying a car in India is a journey, not a transaction," a Cars24 representative noted. "For years, the experience depended on who picked up the phone. AI changes that. Today, we handle over a million conversation minutes a month through AI, giving every customer a high-quality experience at any scale."

Codex Becomes an Internal Operating Layer

Beyond customer interactions, Cars24 has deployed ChatGPT Enterprise and Codex to approximately 600 employees across its central organization, with 85% to 90% daily active usage. Teams in engineering, finance, legal, marketing, and operations now use AI to build workflows, automate recurring tasks, and move work across systems more efficiently.

Cars24 treats Codex not as a standalone coding tool but as a participant in day-to-day work. Product managers use it to create and refine Linear tickets. Engineering teams tag Codex into bug reports so it can pick up defined tasks. Codex also summarizes work across GitHub and posts updates for teams, reducing the number of standups needed to keep projects moving.

The company reoriented its project management workflows around Linear within a matter of weeks, creating a cleaner path for Codex to support daily work across product, design, and engineering teams — from ticket creation and task grooming to implementation, bug resolution, and updates.

"I thought Codex would make our engineers faster," a Cars24 leader reflected. "What surprised me was how quickly it spread beyond engineering. Product managers, finance teams, and even day-to-day workflows started changing. That is when I realised we had not just changed how we write code but had changed how the entire company thinks about getting work done."

AI Adoption Spreads Beyond Engineering

One of the most significant shifts at Cars24 has been the adoption of Codex beyond engineering, with AI becoming an operating layer that helps teams solve their own problems and build their own tools.

In finance and investor relations, teams use Codex to pull numbers from systems of record, run analysis, and prepare investor reporting workflows without manually chasing inputs from multiple business heads. Another finance workflow uses Codex to review purchase requests and purchase orders above a defined threshold, checking for anomalies, flagging concerns, and auto-approving requests where no issues are found.

Some teams have built "chief of staff" agents that connect Slack, Gmail, WhatsApp, and other systems to manage communication, scheduling, hiring workflows, and follow-ups. Employees are increasingly building the tools they need instead of waiting for centralized engineering support.

Cars24's experience demonstrates how AI can move from pilot projects to production when tied to specific business workflows. The company started with high-volume customer conversations, where OpenAI-powered agents could improve lead coverage, support conversion, and create a more consistent experience across the buying and selling journey. Internally, AI has become both a customer engagement layer and an internal operating layer, helping the company serve more customers, build faster, and scale with greater consistency.

As AI continues to reshape industries from automotive to finance, Cars24's approach offers a compelling case study in moving beyond experimentation to enterprise-wide adoption. What do you think about AI agents handling customer journeys end-to-end? Share this article with your network and join the conversation about the future of AI in business.

Source: OpenAI News

Cars24 Scales AI Operations with OpenAI Technology | The Globe Dispatch