CarTrade Tech has announced the launch of its transformative Multi-Agent AI Ecosystem across its platforms, including CarWale, BikeWale, and OLX India. This initiative aims to significantly enhance customer experience and accelerate margin expansion. The announcement follows the company’s strongest quarterly performance, with Q3 FY26 revenue hitting ₹228 crore and a best-in-class 37% EBITDA margin. The AI agents will manage end-to-end transactions, dynamic pricing, and better matchmaking.
Transformative Multi-Agent AI Launch
CarTrade Tech Limited has officially unveiled its Multi-Agent AI Ecosystem, a major technology initiative designed to enhance customer experience and drive margin growth across its entire suite of platforms. This strategic rollout is built upon the company’s current operational strength.
Peak Quarterly Performance
This strategic move comes on the back of the company’s strongest quarterly performance to date. Key financial highlights from Q3 FY26 include:
- Record Quarterly Revenue: ₹228 crore.
- EBITDA Margin: A best-in-class 37%.
The company underscores its massive scale, with CarWale, BikeWale, and OLX India attracting over 150 million annual users, 95% of which is organic traffic, demonstrating deep brand trust.
AI Strategy Across Platforms
The Multi-Agent AI Ecosystem deploys specialized agents designed to fundamentally transform the vehicle and used products ecosystem through enhanced intelligence activated by proprietary data.
Consumer Group (CarWale and BikeWale) – “Sales Agent”
This agent will manage the retail transaction loop end-to-end, offering capabilities such as:
- Interactive and trusted vehicle discovery.
- Instant trade-in prices and transactions.
- Accurate pricing and offers.
- Loan approvals through real-time financial partner integrations.
OLX India – “The Matchmaker”
Focusing on its hyper-local model, OLX India will deploy agents to facilitate transactions:
- Selling Agent: To assist sellers with listing, pricing, certification, and sale.
- Matchmaker Agent: To instantly match the most relevant buyers and sellers.
- Pricing Agent: Providing dynamic price recommendations based on real-time market liquidity.
Shriram Automall (SAMIL) – “Buying Agent”
For the C2B and B2B Phygital auction platform, the agents will focus on efficient buying:
- Buying Agent: Helping buyers find vehicles, place bids, price, and purchase.
- Bidding Agent: Enabling seamless cross-geography purchase and sale.
Foundation for Margin Expansion
The underlying foundation for this AI transformation is the company’s robust financial discipline and growth over the last three years:
- Revenue Growth: Consolidated Revenue has grown at a 32% CAGR over the last three years. Consolidated Total Income is approaching an annualized run rate of approximately ₹1,000 crore in Q3 FY26.
- Profitability Surge: Profit After Tax has grown at an 83% CAGR, expanding from ₹40 crore in FY23 to approximately ₹250 crore annualized in Q3 FY26.
Management Commentary
Vinay Sanghi, Managing Director & Chairman, stated that the company is uniquely positioned to deploy this ecosystem, leveraging over 150 million annual users and deep proprietary data to transform how vehicles and used products are bought and sold in India.
Source: BSE
