MakeMyTrip's Myra uses around 10–12 specialist AI agents to handle travel queries
Group CTO Sanjay Mohan says conversational AI is shortening travel-booking journeys. MakeMyTrip is adapting search and expanding voice capabilities for users in smaller cities, with specialist agents supporting its Myra assistant.
The development
MakeMyTrip uses around 10-12 specialist AI agents in its Myra assistant to handle travel queries. Group CTO Sanjay Mohan said conversational AI is reshaping booking journeys, with the platform adapting search and expanding voice capabilities for users in smaller cities.
The numbers
- 2026
- Tier III and IV
- 10-12
Why it matters to operators and investors
MakeMyTrip’s Myra highlights the need to adapt travel search for conversational queries and test whether broader voice access improves booking conversion, especially in smaller cities.
What to watch next
- Myra-assisted conversion and booking completion versus conventional search, controlling for user intent.
- Incremental bookings and repeat usage from smaller-city and regional-language cohorts, rather than migration from existing channels.
- Total AI and support cost per completed booking, including latency and human escalation.
- Booking-error, complaint and cancellation rates for AI-assisted journeys.
- Changes in direct traffic, paid-acquisition spending and supplier visibility within assistant recommendations.
The counter-case
Using 10–12 specialist agents demonstrates architectural complexity, not customer value or competitive advantage. Conversational discovery could shift existing bookings between interfaces rather than create incremental demand, while orchestration adds potential latency, inference costs and booking-error risks. Broader voice access does not establish profitable adoption in smaller cities.