The client is a top travel and tourism firm in Europe that focuses on designing customized vacation packages and offering convenient travel planning services. As its customer base continued to grow and they increasingly plan their trips online, the client sought to create a smart mobile application to make it easier to plan their trips and improve their customer experience.
React Native
Node.js
Python with TensorFlow
MongoDB
AWS
The client aimed to provide personalized travel advice to its customers based on their budget and preferences. Moreover, they also wanted to –
Travelers were getting general travel advice that did not resonate with their interests, tastes, or financial capability, and this was lowering the levels of engagement.
The process was currently manual, and hence, it took a long time to develop and revise itineraries, which led to inconsistency in travel experiences and wastage of time.
Real-time data access and app functionality were limited since the client's legacy system could not be linked to external booking, mapping, and hotel APIs.
User information was stored in multiple sources; due to this, it was getting difficult to analyze and predict travel patterns effectively.
Our machine learning model reviewed user behaviour, location, and history to recommend destinations, accommodations, and activities that best align with their interests.
We created an AI-based itinerary generator, which will generate personal day-by-day travel plans. It calculates the optimal itinerary in terms of time, cost, and user preferences, so that travellers would have the most optimal experience possible.
Our team has combined several APIs such as flights, hotels, weather, and navigation to provide real-time and precise travel information. This makes sure that the users will be able to get the latest information and make fast and informed travel choices.
We developed a smart and conversational chatbot that navigates travellers through their trip. It not only addresses queries but also provides local suggestions and even multi-lingual responses to provide greater usability and interaction.
Personalized recommendations and real-time insights led the app to a 40% growth in user activity and retention.
AI automation resulted in reducing the time spent by 60% in the creation of the itinerary, instant generation of the trip plan, and higher satisfaction among users.
The application saw a 35% rise in conversions as the users were more inclined to book when provided with personal recommendations.
The client has positioned itself as a digital pioneer in the travel sector, providing a high-tech, AI-enhanced travel experience to users across the world.
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