Fire
Next-generation generative AI tourism companion designed to autonomously curate hyper-personalized travel itineraries, real-time cultural discovery, and predictive flight and hotel booking with zero friction.
Scope of Work & Capabilities Delivered
End-to-End Creative Engineering & Marketing Execution
Travel Brand Concept
Designed an adventurous, borderless brand identity and fluid navigational UI that inspires global exploration and wanderlust.
Documentary Videography
Produced breathtaking drone videography and cultural travel documentaries across 12 countries to launch the brand.
Generative AI App Dev
Engineered a cross-platform Flutter/React Native mobile app powered by custom LLM itinerary engines and real-time flight APIs.
Global Growth Marketing
Executed viral travel creator campaigns and automated app store optimization (ASO) scaling the app to 2.4 million active travelers.
Challenge
Travelers spent hours searching blogs, comparison sites, and maps to plan complex itineraries. The fragmented nature of travel planning led to decision paralysis and high user bounce rates.
Research
Our user studies revealed that travelers visited an average of 38 websites before booking a single vacation. Over 70% of users reported feeling overwhelmed by reviews and options during the process.
Process
We developed a travel recommendation engine powered by custom LLM prompt pipelines, designed a simple gesture-based planning mobile interface, and built API integrations with leading flight and hotel aggregation platforms.
Solution
We engineered a mobile companion app that dynamically generates personalized itineraries, handles bookings in one tap, and updates schedules in real-time based on local conditions.
Tech Stack
Flutter, Dart, Python, FastAPI, MongoDB, OpenAI API, Skyscanner API, AWS.
Results
Scaled the platform to 2.4 million active travelers. The AI achieved a 99.4% itinerary accuracy rating, and booking speeds were four times faster than manual processes.
Lessons Learned
External APIs in the travel industry are notorious for latency and frequent outages. Building a robust caching layer and graceful offline fallbacks was crucial to maintain a responsive user experience.
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