AI-Powered Travel Planning and
Personalized itinerary

Team

Group of 4

Time

My Role

Tools

8 weeks

UX | UI Designer

Figma, Figjam, Canva, Zoom

Project Overview

AI Trip Planner is a travel tool that creates personalized trip plans based on users’ preferences like budget, destination, timing, and travel companions. It suggests tailored places to visit, stay, and eat, and helps users save time with real-time traffic updates and route changes through Google Maps. Users can adjust their plans anytime, download them offline, and join a community to share their experiences.

By posting about how well their trips matched the AI’s suggestions, users help others plan smarter and feel more confident using the platform. These shared experiences build trust, inspire new travelers, and turn everyday users into active contributors who shape the platform’s future.

Business Goals

  • Helping users to travel more efficiently and modifying their itineraries as needed.

  • Providing personalized suggestions based on what users like, including favorite activities, destinations, and travel style.

  • Giving real-time traffic information and suggesting the best ways to commute to save time, with the option to change transportation methods and adjust travel time based on real time with google map.

  • Allow users to download their itinerary for offline use.

Challenges

  • Many users prefer to rely on other people’s recommendations over AI-generated plans, so we needed to gain their trust.

  • Planning trips can be time-consuming, and users may become overwhelmed with excessive information. We must design the platform to help them overcome this challenge using AI.

  • Choosing the best commuting method can often be confusing, making efficient planning more difficult.

  • In our survey result we found out users have challenge to keep track of their expenses during their trips.

I followed the Double Diamond framework to guide the redesign — from uncovering pain points to delivering a new feature that aligned with real group travel needs.

Design Process

Discover

To understand users and problems, the following steps have been taken.

  • Survey

  • Interview

  • Competitive Analysis

We ran a survey to learn more about our users, their needs, and their challenges. We included people from different ages and backgrounds.

Interview & Afinity Diagram

After the survey, we interviewed 7 participants to gain deeper insights into their pain points, focusing on improving travel scheduling through a powerful AI search engine.

Competitive Analysis

That’s a thorough approach to competitive analysis! By examining platforms like Tripadvisor and Wanderlog, you can gain insights into how they utilize AI for trip suggestions, which can inform your own recommendation algorithms. Analyzing Google Maps and Google Trips for route and commute optimization is also key, as it helps you understand how to streamline travel planning.

Define

At the define stage, we identified our main challenges and explored solutions. We created persona, a site map, and user flow based on the data collected during the discovery stage.

Persona

The insights I gained from surveys and interviews helped shape the persona. Ana’s main goal is to find a trustworthy, personalized travel plan for a short-term local travel experience to save time.

Site Map

We first made the information structure using card sorting. After user testing and looking at competitors, we updated it several times.

User Flow

In the user flow, we aim to show how the user selects a hotel and adds it to their plan to create a personalized itinerary powered by AI.

Develop

Sketches

To plan the Travel Tale website, I developed low-fidelity wireframes that helped us communicate ideas clearly within the team and organize our concepts. I refined and revised the sketches multiple times before finalizing the design.

MoodBoard

I used Figma to create mid-fidelity designs and then developed a cohesive high-fidelity interface supported by a design system of consistent colors, fonts, and dimensions. We also created a mood board that captures a travel-inspired vibe through calming blue shades, designed to enhance usability while conveying warmth and trust, before moving into the detailed design process.

UI Kit

Building a UI kit based on the mood board is a fantastic way to maintain consistency and streamline development. Conducting a color contrast test for web accessibility further strengthens the design by ensuring it is inclusive and accessible to all users.

Color Accessibility

Deliver

Usability Test

By analyzing research data and usability test results, I gained a deeper understanding of user needs. Based on these insights, I developed solutions to address their concerns and seamlessly integrated them into the final design.

Challenge

Solution

1- Our users struggle with understanding the itinerary process and want a quick, easy way to get theirs plan.

So, we added a homepage search bar to find top itineraries based on user interests.

2- Travelers have difficulties to choose their interests when they want to plan their trip.

Enable users to access interests in the search bar at the same time they can choose their destination, time, and accommodation.

3- Timing is key in trip planning. Commute time greatly affects travelers, shaping where they stay and what they do when exploring a new place.

giving users the option to choose different transportation methods like bus, taxi, bicycle, or even walking can make a huge difference in helping them save time and customize their travel experience!