For many women, booking a trip is less about finding the cheapest deal and more about reading between the lines. The location pin, the tone of a review, the way a street looks after dark, these details often matter as much as the room itself. Recognising this, Make My Trip has introduced a new layer of women-centric safety and assurance signals across its stay and intercity bus bookings, using AI, user behaviour and partner data to surface what women already look for, but faster and more clearly.
Women’s Travel Safety Takes Centre Stage On MakeMyTrip
Data from the platform shows that women don’t rush decisions. They click deeper into reviews, stay longer on maps and Street View, and spend more time scrolling through guest-uploaded photos before confirming a booking. These aren’t casual checks; they’re deliberate attempts to reduce uncertainty.
MakeMyTrip’s latest update responds directly to this behaviour by bringing the most relevant reassurance cues to the foreground when a woman appears to be planning a journey.
Booking patterns add further context. Women book 50% more stays at least 15 days in advance and show a 16% higher inclination towards premium and branded properties than men.
This preference becomes sharper as travel moves from Tier 1 cities to Tier 2 and Tier 3 destinations, where familiar brands often act as an implicit marker of safety and reliability. On intercity bus routes, solo women travellers also tend to choose seats beside other women, avoiding mixed proximity whenever possible.
AI-Powered Women’s Safety
When the platform detects a potential female traveller, the experience subtly shifts. Reviews written by women are highlighted. AI-led summaries pull out specific references to staff behaviour, neighbourhood safety and overall comfort; these are details that are often buried deep in long comment threads.
Property amenities such as CCTV coverage, door chains, door viewers and full-length mirrors are surfaced more prominently, allowing travellers to assess safeguards without hunting for them. The Street View feature, already part of the platform, becomes a practical tool to visually inspect the approach roads and surroundings before committing.
The same logic extends to intercity buses. AI isolates reviews from female-only journeys and organises them around practical concerns like punctuality, cleanliness and safety, each tagged with sentiment indicators that make scanning quicker.
There’s also a functional safeguard built in: when a woman books one side of a double berth, the adjacent berth is automatically restricted to women, reducing unwanted proximity, particularly relevant for overnight or long-haul routes.
Hear From The Founder
As Rajesh Magow, Co-Founder and Group CEO, explains, women already approach travel planning with caution and care. The intent, he says, is not to change that behaviour but to support it, using data and AI to make informed decisions easier, not more complicated.
Behind the scenes, this system is powered by two data streams. One draws from millions of reviews and behavioural signals generated by users.
The other comes from structured inputs shared by nearly 97,000 accommodation partners and over 3,500 intercity bus operators, covering amenities, safety measures and operational practices. Together, they create a clearer picture of what each option actually offers.
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MakeMyTrip’s move doesn’t announce a radical overhaul. Instead, it sharpens the lens by acknowledging how women already plan their journeys and quietly make the signals they trust impossible to miss.
Cover Image Courtesy: mstudioimages/canvapro
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