" Proprietary predictive algorithms "We've heard more exotic terminology when it comes to the world of travel. And yet... Behind this somewhat technical notion lies perhaps a new advance in travel experiences that are better adapted to each individual's expectations. The Trip.com officially launches in France on 25 January. His promise: " highly relevant and personalised solutions", "recommendations (...) based on artificial intelligence ". To match the expectations of each category of traveller, the application's designers have defined twenty or so typical profiles, from " tribes "These include business travelers" category. There's nothing exclusive about these tribes, and a business traveller could very well belong to the business category, the art and design enthusiasts, or the vegetarian travellers' clan. A good opportunity to combine business with pleasure during your stay. bleisure.
Once they have sworn allegiance to the tribes of their choice, and once they have reached their destination, travellers can, if they wish, receive push notifications recommending ideas for visits and outings. These are adapted to the traveller's profile, but also to the time of day. " For example, in the morning, a user will get recommendations for the best cafés or places to have breakfast, and if the weather is fine, it will suggest places with terraces and gardens to enjoy the outdoors. "explained Trip.com.
" Contextual planning makes life much easier for travellers, especially in a post-search world where mobile is king "says Travis Katz, co-founder and CEO of Trip.com. " We're redefining what travel really means. For us, it's the spirit of adventure that matters, not the distance. A trip can be as simple as a spontaneous visit to a new restaurant in your town or as exceptional as a hike in Patagonia. Trip.com has recommendations to suit every individual - everything you need to plan and enjoy unique and meaningful experiences, at home or away. ".
