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Trava is a startup company in the United States that needed our support to build an app from scratch that will help groups plan their trips, making it a lot simpler and easier.
The main goal for us was to build a mobile app that will allow users to create an itinerary based on preferences of all group members. What is more, the plan should be logistically-optimised so people do not have to waste time travelling long distances between successive locations. They should also be able to share their moments with not only group members, but the whole Trava community. Therefore, we needed to enrich the Trava app with Artificial Intelligence, Machine Learning solutions and social media features.
In a year, we've developed Trava, a mobile app for travel planning. Trava offers a curated selection of destinations, attractions, and dining options for users to choose from. Users can also create their own selections, initiating trips and inviting others to join. They collectively decide on activities through voting, enriching the app's offerings. This expands the available options for all users when planning future trips.
As a result, the Trava app provides logistically-optimised itineraries, considering logistics, distances, and time-saving strategies to enhance the overall travel experience for each group member. Moreover, Trava encourages users to post about their trips on their own social feed, tagging their experiences. Those moments are recommended to the Trava community for inspiration, so other users with similar interests and preferences can save them to their bucket lists and plan their own future trips.
Trava has been live since January 2023 and is growing at 30% month-over-month. They’ve been successful, but are still working their way up by tinkering, listening to customer feedback, and iterating.
Read the full case study: teacode.io/trava
