Business EconomyPosted at: Jun 3 2025 3:06PM


MakeMyTrip launches features reduce waitlists

Gurugram, June 3 (UNI) As reserved train tickets in India open for booking 60 days ahead of departure, many travellers still struggle to secure confirmed seats due to last-minute plan finalisations and fluctuating demand. To address this challenge, online travel giant MakeMyTrip has introduced two innovative features - Seat Availability Forecast and Sold-out Alerts — designed to enhance the train booking experience for millions of users.
Data from MakeMyTrip reveals that nearly 40 per cent of Indian rail passengers book train tickets over multiple sessions spread across several days. Of these, close to 70 per cent ultimately opt for waitlisted tickets, as confirmed seats often get snapped up before travellers finalise their plans.
Demand for train seats varies significantly week to week. For instance, in April, most high-speed trains were sold out roughly 13 days before departure. This period extended to over 20 days in May, reflecting growing demand and making it harder for passengers to predict seat availability despite the standard 60-day booking window.
To ease this uncertainty, MakeMyTrip has launched the Seat Availability Forecast, a data-driven feature that predicts when confirmed seats on selected trains are likely to sell out. By combining years of historical booking trends with real-time demand signals, the forecast gives travellers a clearer picture of seat availability, enabling timely and confident bookings. The feature is now live on MakeMyTrip’s app and website, integrated directly within the train ticket booking flow.
Rajesh Magow, Co-founder and Group CEO of MakeMyTrip, said, "Our mission is to anticipate and solve the nuanced challenges faced by Indian rail passengers. Seat Availability Forecast is a powerful tool built on data science to make train travel more predictable and less stressful."
In addition, the platform has rolled out Sold-out Alerts that notify users when seat availability on their preferred train falls below a predefined threshold. This feature empowers travellers to act swiftly and book confirmed tickets before they run out, complementing the forecasting tool for an enhanced booking experience.
Together, these innovations aim to reduce booking uncertainty, making rail travel planning easier and more reliable for India’s millions of train passengers.
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