AI Wardrobe

Industry

Fashion

Agency

Pixelfield

My role

Product designer

Timeline

2025-2026

Deliverables

App design

Branding

Smart outfit planning powered by AI.

AI Wardrobe explores how artificial intelligence can simplify everyday styling decisions. By digitizing clothing and transforming it into intelligent recommendations, the project focuses on reducing friction, encouraging creativity, and building a more intentional relationship with personal style.

Good pizza, great experience.

Read more

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Project overview

AI Wardrobe is an app that makes outfit matching effortless and fun.

AI Wardrobe digitizes a user’s wardrobe and uses AI to recommend outfits based on context such as weather, occasion, and personal style preferences. By turning a static closet into an intelligent system, the app helps users make faster decisions, discover new outfit combinations, and get more value from the clothes they already own.

Users struggle with outfit decisions because they lack structure and inspiration, not clothes.


Decision fatigue peaks in the morning, making quick, curated suggestions essential. Planning ahead reduces stress, while social inspiration works best in low-pressure, non-competitive environments.

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User Research

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User Persona

Busy Urban Professional

Emily

Marketing Specialist

34 y.o.

City-based (urban lifestyle)

Full-time work, social plans on weekends

Heavy mobile user, relies on apps to manage daily life

Bio

Emma is a busy professional who enjoys fashion but struggles with outfit decisions due to time pressure and decision fatigue.

Despite owning many clothes, she often repeats the same outfits and is open to simple, AI-assisted tools that help her choose faster and feel confident.

Goals

Decide what to wear quickly with minimal effort

Look put-together and confident in daily life

Make better use of existing clothes

Reduce morning stress and decision fatigue

Pain Points

Too many options, not enough clarity

Repeats the same outfits despite owning many clothes

Limited time in the morning to experiment with styling

Forgets items already in her wardrobe

“I have plenty of clothes, but choosing what to wear every day feels unnecessarily stressful.”

User Behavior

Decides outfits under time pressure in the morning

Saves outfit ideas but rarely revisits them

Uses social platforms for inspiration but avoids competitive or influencer-heavy content

Plans outfits in advance for important events or upcoming trips

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User Persona

Busy Urban Professional

Emily

Marketing Specialist

34 y.o.

City-based (urban lifestyle)

Full-time work, social plans on weekends

Heavy mobile user, relies on apps to manage daily life

Bio

Emma is a busy professional who enjoys fashion but struggles with outfit decisions due to time pressure and decision fatigue.

Despite owning many clothes, she often repeats the same outfits and is open to simple, AI-assisted tools that help her choose faster and feel confident.

Goals

Decide what to wear quickly with minimal effort

Look put-together and confident in daily life

Make better use of existing clothes

Reduce morning stress and decision fatigue

Pain Points

Too many options, not enough clarity

Repeats the same outfits despite owning many clothes

Limited time in the morning to experiment with styling

Forgets items already in her wardrobe

“I have plenty of clothes, but choosing what to wear every day feels unnecessarily stressful.”

User Behavior

Decides outfits under time pressure in the morning

Saves outfit ideas but rarely revisits them

Uses social platforms for inspiration but avoids competitive or influencer-heavy content

Plans outfits in advance for important events or upcoming trips

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Problem Statement

Users want to dress well every day, but the process of choosing outfits is time-consuming, mentally exhausting, and often uninspiring—despite owning many suitable clothes.

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Design Strategy

1

AI Outfit

Creation

Generates personalized outfit suggestions based on the user’s wardrobe, weather, occasion, and style preferences.

1

AI Outfit

Creation

Generates personalized outfit suggestions based on the user’s wardrobe, weather, occasion, and style preferences.

2

Community Outfit Sharing

Provides a space for users to share outfit outlines and browse real-life styling ideas from others.

2

Community Outfit Sharing

Provides a space for users to share outfit outlines and browse real-life styling ideas from others.

2

Community Outfit Sharing

Provides a space for users to share outfit outlines and browse real-life styling ideas from others.

3

AI Scanning & Outfit Building

Enables users to scan or upload clothing items to create a digital wardrobe, with automatic categorization by type, color, and season.

3

AI Scanning & Outfit Building

Enables users to scan or upload clothing items to create a digital wardrobe, with automatic categorization by type, color, and season.

3

AI Scanning & Outfit Building

Enables users to scan or upload clothing items to create a digital wardrobe, with automatic categorization by type, color, and season.

4

Outfit

Calendar

Allows users to plan outfits for upcoming days, with weather and event context integrated into the experience.

4

Outfit

Calendar

Allows users to plan outfits for upcoming days, with weather and event context integrated into the experience.

4

Outfit

Calendar

Allows users to plan outfits for upcoming days, with weather and event context integrated into the experience.

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Typography

Cal Sans

Regular

Choosing what to wear shouldn’t feel stressful. With smart recommendations and simple planning tools, you can create outfits faster, reuse what you already own, and feel confident in your daily choices. Designed to fit seamlessly into your routine, this experience helps reduce decision fatigue while keeping styling fun and flexible. Choosing what to wear shouldn’t feel stressful. With smart recommendations and simple planning tools, you can create outfits faster, reuse what you already own, and feel confident in your daily choices. Designed to fit seamlessly into your routine, this experience helps reduce decision fatigue while keeping styling fun and flexible.

Urbanist

Main Typeface

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Color palette

#121211

Deep Charcoal

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Color palette

#121211

Deep Charcoal

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Color palette

#121211

Deep Charcoal

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Key Features

AI Clothes Scanning

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Key Features

AI Outfit Creation

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Key Features

Outfit Calendar

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Key Features

Community

@luludesigner

Instagram

Join on Sep, 2024

Date

18 likes

Likes

12 outfits

Number

@luludesigner

User

Let’s be friend

@luludesigner

@luludesigner

Instagram

@luludesigner

Instagram

Join on Sep, 2024

Date

18 likes

Likes

12 outfits

Number

@luludesigner

User

Let’s be friend

@luludesigner

@luludesigner

Instagram

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Summary & Takeaways

Summary

& Takeaway

AI Wardrobe aims to reduce outfit decision fatigue by combining AI-generated outfit suggestions, wardrobe digitization, and planning tools into a single, lightweight experience. Users will be able to create outfits faster and felt more confident in daily styling decisions.


Success metrics to observe include outfit creation frequency, calendar usage rate, repeat app sessions, and wardrobe item reuse.


Future opportunities include deeper personalization through learning user preferences, sustainability insights such as outfit/item reuse tracking, 3D mannequin and expanded community features that support inspiration without social pressure.

What's next?

The design may be done, but the job is far from complete. As designers, we care about every step — from start to finish.

The app is in beta development, with ongoing design QA to ensure smooth performance and consistent visuals.

01

Development & QA

The app is in beta development, with ongoing design QA to ensure smooth performance and consistent visuals.

01

Development & QA

The app is in beta development, with ongoing design QA to ensure smooth performance and consistent visuals.

01

Development & QA

Track outfit creation frequency, calendar usage, wardrobe item reuse, and 7-day/30-day retention to measure whether the product truly reduces decision fatigue and delivers long-term value.

02

Success Metrics

Track outfit creation frequency, calendar usage, wardrobe item reuse, and 7-day/30-day retention to measure whether the product truly reduces decision fatigue and delivers long-term value.

02

Success Metrics

Track outfit creation frequency, calendar usage, wardrobe item reuse, and 7-day/30-day retention to measure whether the product truly reduces decision fatigue and delivers long-term value.

02

Success Metrics

Scheduled for March 2026, followed by user feedback analysis and post-launch improvements.

03

Launch

Scheduled for March 2026, followed by user feedback analysis and post-launch improvements.

03

Launch

Scheduled for March 2026, followed by user feedback analysis and post-launch improvements.

03

Launch