The AI Divide in Indian Travel: What MakeMyTrip, Ixigo, TBO, and Yatra’s Earnings Calls Reveal

Why It Matters

The differing AI approaches will shape competitive dynamics and customer experience in India's fast‑growing travel market, influencing booking efficiency and future revenue streams.

Key Takeaways

• Ixigo's AI resolved 91% of 4.35M queries, refunds under four hours
• MakeMyTrip's Myra lifts conversion ~10% and backs 200K+ bookings
• TBO Tek applies AI to agent workflows, not end‑user experience
• Yatra cites AI investments but shares no performance data
• AI likely automates simple trips; complex itineraries stay adviser‑led

Pulse Analysis

The travel sector worldwide is racing to embed generative AI into booking flows, price prediction and customer service. In India, where online travel bookings exceed $30 billion annually, the technology promise is amplified by a young, mobile‑first consumer base and intense price competition. AI can streamline fare searches, personalize itineraries, and cut support costs, but it also demands sizable data infrastructure and talent. As global players like Expedia and Booking.com experiment with AI‑driven assistants, Indian OTAs are under pressure to match the speed of innovation while keeping margins intact.

The earnings calls of MakeMyTrip, Ixigo, TBO Tek and Yatra reveal four distinct playbooks. Ixigo is betting on a full‑stack conversational layer—Ixigo NEXT—that routes queries, automates refunds and shifts to a live‑trip mode, reporting 91 % resolution of 4.35 million interactions. MakeMyTrip’s incremental upgrade of its Myra assistant shows measurable gains: a 10 % lift in conversion and over 200,000 bookings generated in a single quarter, while AI now handles more than half of flight and hotel service tickets. TBO Tek, serving B2B agents, frames AI as a productivity enhancer through its Voya tool, and Yatra remains vague, mentioning cloud migration and “AI‑enabled” services without hard numbers.

These divergent strategies suggest a bifurcated market trajectory. Consumer‑facing platforms that can deliver seamless, AI‑powered end‑to‑end journeys are likely to capture price‑sensitive travelers and command higher take‑rates. Meanwhile, B2B aggregators will continue to rely on human advisers for complex, high‑value itineraries, using AI mainly to accelerate internal processes. Investors should watch adoption metrics—query resolution rates, conversion uplift, and booking volume tied to AI tools—as leading indicators of competitive advantage. Companies that combine robust data pipelines with cost‑effective models will shape the next generation of Indian travel experiences.