WEARit AI-driven Virtual Closet APP

UX research, UI design, Prototyping, Testing

A concept design using AI technology.

Project Overview

WEARit is a novel wardrobe management using AI technology generating a full-body 3D avatar to create a mobile virtual try-on system!

My Contributions

・Planned product strategy and defined project roadmap.
・Conducted initial user research & interviews.
・Delivered wireframes & high-fidelity prototypes.

Brainstorming time!

Kick-off

Problems

・Spend too much time on daily dressing.
・Choice disorder problems.
・Excessive clothing consumption.

Objectives

・Solve wardrobes rage problems.
・Match & mix clothes effortlessly.
・Get personalised style suggestions.

Target audiences

・Shopaholics
・Stylists
・Age 25 - 45 who join parties or special occasions frequently.

Discover user needs

"I want to put together stylish outfits quickly and effortlessly!"

Users' main goal is to consume less time choosing outfits for their work and social occasions. They want a solution that can help them effectively manage their wardrobe, easily match their clothes, and provide them with style suggestions based on their preferences, occasions, and fashion trends. According to our survey about try-on feature preference, 82.5% of people want to see how a piece of clothing looks on the body.

40 survey responses / 6 interviews

Design concept & technologies

Personalised wardrobe

Creating custom clothing categories based on the user's preferences and needs to create a personal lookbook.

Stylist Assistance

Helping users choose their outfit through AI recommendations.

Ai-driven 3D Avatar showroom

Choosing clothes to try-on via the 3D virtual Avatar to solve the issue that the virtual clothing displayed does not always fit the user's body.

Reference: Polycam's LiDAR technology / Apple object capture

Ideate

Defined user journey map with key scenarios

There are 5 main sections :
1. Register and create 3D avatar.
2. Dress up and create new style.
3. Explore and get style suggestions.
4. Manage & categorise wardrobe.
5. Create personal lookbook.

Created wireframes building the visual ideas

From sketches to wireframe, we consisted of several key components from concept designs to visualise whole product features. The changes included preference selection and clothes suggestion page after internal discussion.

Turn image into 3D Avatar

User can user WEARit scanning body to turn personal image into 3D Avatar into our app.

Open Figma Prototype

Why not use AR filter?

The limitation of mobile devices, and users’ hand and the device may cover certain parts of their body, making it difficult to see the complete outfit or how it fits on their body.
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Merits of 3D Avatar

・Visualise entire body figure.
・Change outfits quickly without waiting to generate filter.
・Work in conditions where a user cannot point a camera at them

AI stylist assistant

Through AI algorithm, WEARit provides daily suggestion according to preferences, the weather and the items in users' wardrobe.

A daily dress-up planner

Planning everyday outfits for any occasions uses in-app calendar.

Customise personal wardrobe

Turn clothing items into 3D objects and manage personal wardrobe in order.

Usability Test & In-depth interview

Positive feedback for the new dressing experience

1. Results showed users created outfits within a relatively short time (average of 30 seconds).
2. 83% of the users showed a strong interest in using WEARit, particularly a feature that would allow them to visualise different combinations without trying them on physically.
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Some features need to improve.

66% of the participants said that the app was too cumbersome to use and that some of the buttons on the interface were not clearly defined, which could cause users to misuse the app and therefore take up some time.

6 participants / 2 scenarios

Reflection & Future plans

Simplifying dressing process and reducing users' confusion

To address the problem of function's complexity, simplifying user flow and providing instructions and guidance will be taken into account in the next iteration.
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Improve planning functions

Serving WEARit as a planning and reminder tool, as suggested by users during interviews.
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Gain profit!

Considering generate profit in the future, cooperating with different brands and influencers to tailor personal daily dressing plan would be the next iteration.