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Fashion Tech2024Affinity Labs
Affinity Labs Project
Fashion recommender app using image search
Client: Affinity LabsTimeline: 8 monthsStyleUpAI Product LeadFashion Tech
40%
Engagement
8 months
Timeline
Completed
Status
Executive snapshot
Affinity Labs Project uses AI to recommend fashion styles by analyzing user-uploaded images and searching a large style database.
Finding relevant fashion inspiration quickly.
Increased user engagement and style discovery.
Live desktop experience
styleup-five.vercel.app
StyleUp
Fashion recommender app using image search
Responsive mobile view
How Affinity Labs Project adapts on smaller screens
Project focus
Affinity Labs Project at a glance
Fashion recommender app using image search
Client: Affinity LabsTimeline: 8 monthsStyleUpAI Product LeadFashion Tech
Product summary
StyleUp
Client tension
Client goal
01
Finding relevant fashion inspiration quickly.
Finding relevant fashion inspiration quickly.
Increased user engagement and style discovery.
Delivery move
Delivered solution
02
Built an AI-powered image search and recommendation engine.
Image Search
AI Recommendations
Buyer lens
Key takeaway
03
StyleUp
Image Search
AI Recommendations
Business outcomes
Results
40%
Engagement
Increased user engagement and style discovery.
Engagement: 40%
Helped users discover new fashion styles easily.
Live walkthrough
Live product walkthrough
Review the live fashion tech experience for Affinity Labs Project and compare the shipped interface to the case study narrative.
styleup-five.vercel.app
Loading live website
Project narrative
Inside Affinity Labs Project
Affinity Labs Project is structured around Image Search and AI Recommendations.
Product summary
Fashion recommender app using image search
Image SearchAI Recommendations
Affinity Labs Project positioning
Positioning
01
Fashion recommender app using image search
Finding relevant fashion inspiration quickly.
Increased user engagement and style discovery.
Solution direction
Experience
02
Built an AI-powered image search and recommendation engine. Visual-first, AI-powered recommendations.
Image Search
AI Recommendations
Flow map
Key flows
03
Affinity Labs Project guides users through Image Search and AI Recommendations.
Image Search
AI Recommendations
Connected systems
Integrations
04
Visual-first, AI-powered recommendations.
Key numbers
40%
Engagement
Product experience
Key moments inside Affinity Labs Project.
The supporting visuals below focus on the interface details, brand treatment, and product surfaces that make Affinity Labs Project feel polished and credible.
Supporting visual
Style Gallery
Recommended styles
Live website sections to notice
Image Search
AI Recommendations
Client voice
“I found my new look thanks to Affinity Labs!”
Emily Clark
User, London
Why it mattered
Helped users discover new fashion styles easily.
“The app is so fun to use!”
Emily Clark, User
Tech stack
What powers Affinity Labs Project
Affinity Labs Project runs on TensorFlow.js, React, and Node.js.
Core stack
Primary technologies
TensorFlow.js
Image analysis
React
User interface
Node.js
Recommendation API
Performance indicators
Performance
95%
Lighthouse score
1.0s
Load time
99.9%
Uptime
98
Accessibility score
Security and compliance
Security
User authentication
Data privacy
System architecture
Architecture
TensorFlow.js AI
React frontend
Core tools used
Tools
TensorFlow.js
React
Node.js
Production readiness
Launch details
Affinity Labs Project was prepared for launch with Image compression, Alt text, and TensorFlow.js.
Performance work
Performance
01
Image compression
API caching
Accessibility features
Accessibility
02
Alt text
Keyboard navigation
Deep-dive stack
Implementation
03
TensorFlow.js
React
Node.js
Project FAQ
Common questions
Answers about Affinity Labs Project, the launch, and the build decisions behind it.
Yes, for recommendations.
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