Picture this: you are planning your trip on a student budget. A few hours later, you have 20 tabs open to compare different flight ticket prices, hotels on Booking.com, and seeing TripAdvisor reviews. This has become the standard of planning a trip, where travellers feel the need to put in the effort to search for the best deal.
Travelers visit an average of 38 websites and spend over 5 hours before booking a single trip (McCarthy, 2024). As we gain infinite access to digital information, planning has never been more overwhelming and so seemingly complicated. One of the primary drivers to this issue is the fragmentation of travel agencies; every single platform will reset your preferences, and a deal that you see on your screen might be at a different price than someone else’s. According to IATA’s 2024 survey, 32% of travelers identify consolidated information as their top priority. Convenience and efficiency is obviously an important value driver in the travel industry now.
Why Current AI Falls Short
Major platforms already establish AI usage for dynamic pricing and basic chat bots. Newer websites have AI tools that will create itineraries. However, they will give you generic recommendations, without you really understanding why this itinerary fits you best – They won’t remember your preference for late night flights or your €500 budget.
TravelAGNT: Your AI Travel Companion
TravelAGNT takes a different approach, built on advanced generative AI that creates a “digital twin” of your travel profile, and every trip makes it smarter, more tailored to you. The difference of TravelAGNT is its explainability; it will give you its reasoning through AI-generated short videos:”I chose this flight because it’s direct, fits your budget, and departs after 10 AM like you prefer. Here’s why I didn’t pick the cheaper option; a 6 hour layover in Copenhagen.”
This saves hours of your comparison work into minutes, and builds trust through transparency – with clear comparison of alternatives, understanding the trade-offs.
The Road Ahead
Building responsible AI requires navigating GDPR regulations, ensuring accuracy through constant validation, and competing with existing traditional OTAs. TravelAGNT represents a new category in the travel ecosystem: it will not just be another booking site, but an AI-native travel platform that users genuinely trust.
McCarthy, D. (2024, September 3). Consumers visit 277 websites before booking travel. Travel Market Report: The Voice of The Travel Advisor. https://www.travelmarketreport.com/retail-strategies/articles/consumers-visit-277-websites-before-booking-travel
