Aurie
AI Fashion Mobile App
As an individual case study, I worked with a fellow designer to create an AI fashion app that offers outfit mix-n-match, style exploration, and a fashion community all in one place.
I presented this new member education project to a group of designers from Design Consulting at Cornell, an official organization that works with a variety of clients.
Role
Product Designer
Team
2 Product Designers
Timeline
12 Weeks
Feb-April 2025
Skills/Tools
Figma
User Research
SCOPE
How might we...
allow people to easily gather fashion inspiration and creatively engage with their daily outfits?
Foster an engaging community where users can share looks and exchange ideas.
Build a supportive environment that motivates users through social interaction and shared fashion discovery.
Enable users to easily discover fashion inspirations that fit their personal style.
Aim to provide personalized, accessible outfit ideas that help users feel inspired without feeling overwhelmed.
Goal
Goal
USER RESEARCH
Discovering User Frustrations across Ages
We Interviewed 6 individuals from a variety of backgrounds: college students, influencers, working adults, and CS outliers. From the user interviews, we discovered three major pain points.
People pick their outfits based on who they are seeing, what they are doing, and the weather status.
People find it hard to style clothing items together, especially when they're in a rush.
People forget about clothing pieces that they own due to the size or organization of their wardrobe.
COMPETITOR ANALYSIS
Where are Competitors Succeeding and Failing?
After user interviews, we looked through more than four competitors ranging from social media, fashion discovery to AI as a tool for fashion to learn about what is available on the market.
Looks.AI
Fashion Styling
REdnote
Social Media
Social Media
Aesthetics
Whering
AI stylist
Through analysis of industry challenges and unmet consumer needs, we identified these three significant market gaps that remain largely unaddressed.
LIMITED Options for PERSONALIZATION
NO CENTRALIZED WARDROBE TRACKING
MISSING COMMUNITY + ANALYTICS
IDEATION
Providing a Comprehensive Solution
With our newfound knowledge of the current fashion market and user insights, we conducted a crazy 8 session and sketched our ideas into actionable sections: personal wardrobe, AI analytics, OOTD, and more.
EXPLORATION
✦ Trying Wardrobe Layouts
To tackle the problem of not being able to find items within a large closet, I wanted a wardrobe for users to find pieces easily and understand what kind of style each clothing was categorized as for outfit selection.
One - Title & Tags
Two - # of Times worn
Three - Last worn & Title + Tags
Aerie Flare Pants
Comfy
Athletic
Your Wardrobe
Search
Filter
All Items
Search
32
All Items
Search
1 hour ago
3 days ago
22 days ago
1 hour ago
5 days ago
An hour ago
All Items
Search
Clout Collection
Blue/Gray
Casual
Cargo Pants
3 days ago
22 days ago
1 hour ago
5 days ago
An hour ago
Unclear Indication
✦ Breaking down Clothing Analytics
Just like Spotify wrapped, we created an AI Analytics section for users to understand their fashion patterns, see what items are the most worn, and recommendations for seasonal wear.
Seasonal Analysis
Top Colors for Spring
Spring
Summer
Fall
Winter
Beige
Grey
Pastels
Navy
From your Wardrobe
Color Palette
Your signature hues at a glance
Color Palette
30%
Your signature palette this month
25%
25%
20%
Your Colors
Neutrals
56%
18%
14%
3%
9%
Cool Tones
Warm Tones
Pastels
Other
Favorite Pieces
Fitted
Layers
Fitted Top
Wide Bottom
Boxy
Layers
Style Breakdown
Your personal style at a glance
Your Dominant Style
Timeless
Neutral
Graphic
Your Most Worn Styles
Minimalist
43%
37%
10%
6%
4%
Streetwear
Classic
Y2K
Experimental
Based on tags, color palette, silhouettes, and outfit combinations
Favorite Silhouettes
Fitted
Layers
Fitted Top
Wide Bottom
Boxy
Layers
56%
32%
12%
Outfit Curation
Most Worn Items This Month
Least Worn Items This Month
You rewear outfits 38% of the time and remix 47%.
11 times
11 times
13 times
9 times
9 times
Style Metrics
Your wardrobe at a glance
Style Metrics
Outfit Efficiency
Versatility
Cohesion
Uniqueness
Trendiness
8/10
6/10
7/10
9/10
50%
50% of your wardrobe got worn this month. The rest didn’t make it off the hanger.
Try mixing in a few forgotten pieces to keep things fresh.
✦ Nuances of Community OOTD
Within the Community section, users are able to view and share content with one another. We wanted users to explore various fashion styles from mutual friends and recap what outfits they had worn that week or month.
Your Community
Last 7 Days
1
2
3
4
5
6
7
Take an OOTD
emily_nicolson
Manhattan, NY
2 hours ago
36
rowan.wale
Nelson, British Columbia
3 hours ago
36
Tap to take your outfit pic!
Your OOTDs
Stars of the Month
April 2025
1
2
3
4
5
6
7
1
2
3
4
5
6
7
1
2
3
4
5
6
7
1
2
3
4
5
6
7
Recap Past Week
You have 5 total outfits!
1
2
3
4
5
Recap Past Month
You have 5 total outfits!
1
2
3
4
5
March 2025
04
05
06
01
02
03
Share
Done
VISUAL IDENTITY
Finding a Personal Brand
With the desire to bring a fresh perspective into fashion and encourage people to step out of their comfort zones, we wanted a branding that shouts innovation and creativity which landed us upon a range of red and oranges.
✦ Design System
Colors
Gradient
Primary
#EF4D4D
Secondary
#F98138
Tertiary
#FEF7E7
White
#FFFFFF
Light
#FAF6F3
Success
#82E679
Failure
#E2542C
Spacing
36 px
32 px
28 px
24 px
20 px
16 px
12 px
8 px
Logo
Components
Typography
Outfit
Headers-Semibold-18
Subheadings-Medium-14
Subheadings-Medium-14
Body Text - Medium -12
yuki_li
Ithaca, NY
1 minute ago
With a new visual identity, we stepped into the final phase of transforming our initial vision into final screens.
FINAL DELIVERY
Enter Aurié
Personal Wardrobe
Upload a clothing item into your wardrobe, directly from the camera or image gallery.
Randomize an outfit based on your wardrobe, customizable by style.
Mix-n-Match Outfits
Style Community & Collections
View your community feed for inspiration and share your own outfit of the day!
REFLECTIONS
If we had more time, we would...
Incorporate AI Analytics feature
Integrate branding more seamlessly
Perfect Mix-n-Match flow
Conduct user testings
From this fast paced semester-long project, I learned how to collaborate while juggling multiple responsibilities and bringing storytelling to life with visualizations. I am excited to carry the skills I learned into future designs!
✿ yl3644@cornell.edu ✿
thanks for stopping by! let's connect through design, games, and more ˚ ᡣ𐭩
made with love & matcha in 2025 ⋆ ˚｡⋆୨୧˚