MakeMyTrip, India’s leading online travel company, has introduced women-centric safety and assurance signals across accommodation and intercity bus bookings, leveraging artificial intelligence, user-generated content, and partner data to enable more confident travel planning for women.
Insights from platform behaviour indicate that women travellers adopt a more deliberate approach while planning trips. They spend more time reviewing ratings, exploring maps and street views, and examining guest-uploaded photos before confirming bookings. Booking data further reveals that women book 50 percent more stays at least 15 days in advance and show a 16 percent higher preference for premium and branded properties compared to men. This preference becomes more prominent as women travellers move from Tier 1 to Tier 3 cities, where branded accommodations often serve as a key signal of assurance.
Based on these insights, MakeMyTrip now surfaces safety-related cues more prominently when a woman is detected to be planning a stay. Ratings submitted by women are highlighted, while AI-led summaries bring attention to factors such as staff behaviour and location safety during the search process. Women-specific amenity indicators including CCTV, door eye, door chains, and full-length mirrors are also displayed more clearly. Travellers can additionally use the Street View feature to visually assess the surroundings and approach to a property before making a booking decision.
A similar approach has been applied to intercity bus bookings. AI identifies reviews from women-only journeys and filters them based on parameters such as safety, punctuality, and cleanliness, assigning sentiment tags for quicker assessment. For added assurance, when a woman books one side of a double berth, the adjacent berth is automatically restricted to female passengers, reducing mixed proximity—particularly during overnight or long-distance travel.
Commenting on the initiative, Rajesh Magow, Co-Founder and Group CEO of MakeMyTrip, said that women travellers already demonstrate careful and thoughtful planning behaviour. By leveraging rich data and AI, the company aims to simplify this process and enable more informed decision-making.
The initiative is supported by two foundational layers—AI-driven insights drawn from millions of user reviews and behavioural signals, and structured partner data spanning nearly 97,000 accommodation properties and over 3,500 intercity bus operators. Together, these efforts aim to make travel planning clearer, safer, and more reassuring for women across the country.
