iplan.ai

iplan.ai is an AI-powered app that creates personalized travel itineraries in seconds, based on your preferences, budget, and time — all in a simple, user-friendly interface.

Context

iplan.ai was a startup project developed by a small team based in Canada. I worked remotely and full-time as a UI/UX designer, collaborating closely with the product and development teams.

The goal was to create an AI-powered travel planner that simplifies the process of building personalized itineraries in a user-friendly way. The project followed an agile workflow with continuous iterations and user feedback.

Details
Time Frame:

Jun 23 – Jun 25

Role:

UI/UX Designer, Usability Researcher

Platform:

iOS & Android

Overview

The goal of iplan.ai is to eliminate the complexity of travel planning by using AI to instantly generate personalized itineraries. The product is designed to help users save time, reduce decision fatigue, and enjoy a more effortless, enjoyable planning experience — all based on their unique travel preferences, budget, and schedule.

Challenge

Planning a trip often feels overwhelming due to the abundance of options, time constraints, and the need to manually search and organize information from multiple sources.

The main challenge was to design an experience that simplifies this complex process while still giving users enough control and flexibility to customize their plans. Additionally, the UI had to be clean, mobile-friendly, and accessible for users with varying levels of tech-savviness.

Solution

To simplify the travel planning experience, we focused on building an AI-driven, user-friendly interface that helps users create personalized itineraries quickly and easily. The solution was centered around clarity, customization, and speed:

Results

The new design significantly improved user satisfaction and engagement. Internal testing showed a 60% decrease in time spent creating an itinerary and a notable increase in task completion rates.

Users appreciated the simplicity, speed, and flexibility of the platform. The product successfully launched its MVP and gained positive feedback from early adopters, paving the way for further development and scaling.