Inotrip
An AI-powered travel platform that creates personalized travel experiences by learning user preferences and curating perfect packages for hotels, flights, and activities.
Reinventing Travel Discovery
Inotrip was born from a simple insight: travelers were overwhelmed by choice. With thousands of destinations and millions of accommodation options, planning a trip had become paradoxically difficult. Users wanted personalization without the hassle.
I designed an intelligent platform that learns from user behavior and preferences to suggest perfectly matched travel packages. By combining intuitive UX with smart algorithms, Inotrip makes travel planning feel effortless and exciting again.
The Problem
User research with 50+ travelers revealed a common frustration: "paradox of choice." People spent 10+ hours planning a single trip, jumping between multiple websites, second-guessing decisions, and feeling overwhelmed.
The Solution
I designed a smart, curated experience that learns from user behavior to provide personalized recommendations. The key was balancing automation with user control.
Creating the Experience
Research & Discovery
Conducted surveys with 200+ users and in-depth interviews with 25 frequent travelers. Created journey maps highlighting pain points in current travel booking experiences.
Key Insights
- • 78% wanted pre-curated options over endless choices
- • 65% abandoned bookings due to complexity
- • 82% valued personalization over price alone
- • Average planning time: 12.5 hours per trip
User Needs
- • Quick, confident booking decisions
- • Recommendations matching their style
- • Transparent, competitive pricing
- • Flexibility to customize suggestions
Personalization Engine Design
Designed a quick onboarding flow that captures user preferences without feeling like a survey. Each question is contextual and the interface adapts based on previous answers.
Visual Design
Created an aspirational, travel-forward aesthetic with stunning imagery and clean layouts. The design emphasizes discovery and inspiration while maintaining usability.
Intelligent Travel Planning
Smart Recommendations
Machine learning algorithm that learns from user interactions, preferences, and booking history to suggest destinations and packages that perfectly match their travel style.
- ✓Behavioral analysis and preference learning
- ✓Budget-aware suggestions with transparent pricing
- ✓Travel style matching (adventure, luxury, culture, etc.)
- ✓Seasonal and weather-based recommendations
Curated Travel Packages
Pre-designed packages combining flights, hotels, and activities that work together seamlessly. Users can book as-is or customize to their preferences.
- ✓Complete itineraries with optimized logistics
- ✓Flexible customization options
- ✓Bundle pricing with significant savings
- ✓Local experiences and hidden gems included
Seamless Booking Flow
Single checkout process for entire trip with real-time confirmation. Optimized for mobile with autofill, saved payment methods, and instant booking.
- ✓3-minute booking from discovery to confirmation
- ✓Saved traveler profiles for quick rebooking
- ✓Multiple payment options and flexible plans
- ✓Real-time availability and price lock
Results & User Feedback
Users who start booking process complete their purchase
Increase in users booking complete packages vs. single items
From package selection to confirmation (down from 45 minutes)
User Testimonials
"For the first time, I actually enjoyed planning my vacation. The recommendations were spot-on, and I booked everything in minutes. This is the future of travel."
— Sarah M., Frequent Traveler
"I used to spend weeks comparing prices across different sites. Inotrip suggested the perfect package for my budget and style. Saved me hours of stress."
— James L., Business Traveler