AI-driven trip-planning app with a social network
Trava is a startup company that needed our support to build an app from scratch that will create a logistically-optimised itinerary based on users' choices.
TIMELINE: 2 YEARS & 3 MONTHS
COUNTRY: USA
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Trava is a startup company that needed our support to build an app from scratch that will create a logistically-optimised itinerary based on users' choices.
TIMELINE: 2 YEARS & 3 MONTHS
COUNTRY: USA
Trava is an app that helps groups plan their trips based on preferences of all group members, making it a lot simpler and easier.
People are often dissuaded from taking trips because there’s so much coordination and planning, so Trava’s goal was to reduce the time it takes to organise a trip from 10 hours to a matter of minutes.
Did you know?
The application is live, and it continues to grow by 30% month-over-month.
CEO
Travel Planning Platform
TeaCode.io has the business judgement, consumer knowledge, and willingness to advance the product. (…) They’ve grown as a company, but they’re still a tight-knit group of people who share their knowledge. TeaCode.io is dedicated to their clients, and they have a personal touch.
We started cooperation with Trava because, as they say, our team was able to understand their business speak and translate it into code. Trava trusted us due to our perfect rating and as we also exhibited our English proficiency.
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We started cooperation with Trava because, as they say, our team was able to understand their business speak and translate it into code. Trava trusted us due to our perfect rating and as we also exhibited our English proficiency.
Trava came to us with an idea they had thoroughly thought through. However, we've had a significant impact on the project as we conceptualised it together.
Product Manager
Developers
QA Engineer
CEO
Travel Planning Platform
TeaCode.io has done an excellent job (…) TeaCode.io has communicated well, and the team is responsive and hardworking. Moreover, their ability to understand the end case and push back when they think something isn’t intuitive for a user has been very helpful (…)
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In a year, we've built a travel itinerary planning mobile app from scratch enriched with Artificial Intelligence, Machine Learning solutions and social media features.
Users can initiate a trip, select an existing destination if it's not already available. They can then invite others to join the trip and collectively decide on their activities through voting ➊.
Trava offers users a predefined pool of destinations, attractions and dining places from which they can choose or create a new one. All of them can be added to the calendar ➋ or favourites or be voted on by every user.
Trava app provides logistically-optimised itineraries, considering logistics, distances, and time-saving strategies to enhance the overall travel experience for each group member. People do not have to waste time travelling long distances between successive locations.
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 growing at 30% month-over-month and 50% are monthly active users. They’ve been successful, but are still working their way up by tinkering, listening to customer feedback, and iterating.
30%
growth
50%
of traffic are active users
Having the design, within a few months our development team built an app that was ready for the client’s review. Since then, we worked in two-week sprints, defining the scope in cooperation with the client.
We began by understanding the client's concept, validating it during the beta-testing phase by offering early access to users, and advising on how to develop the app to receive the ultimate value for the same price.
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To provide the itinerary functionality, we had to build a Machine Learning algorithm that works well on small data sets. Users' opinions expressed in voting are just a sample for the algorithm to establish their preferences and build the itinerary accordingly.
We also had to build a social networking functionality. Users can add stories from their trips with images and videos. Those can be observed by others, commented and liked. Those posts should also be recommended to users interested in such content.
To address this functionality, we implemented our own TeaRex.AI recommendation solution.
With the app already on the market, the client took over the control over the development process as they wanted to grow their internal development team for maintenance. When they require assistance, our role usually involves conducting QA testing to ensure seamless functionality. We're also offering advice and guidance when needed.
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Let's win your market together!
Contact us to discuss your app idea and possibilities. We’ll advise you on the best solution and estimate the project. If you have any questions – we’ll provide you with answers.
Talk with Mark,
our Account Manager
Write a message
mark.cameron@teacode.io
Postępu 15, 7th floor
02-676 Warsaw, Poland
inquiry@teacode.io
tax no: PL5213775495
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