Aura — AI-Powered Wardrobe Intelligence
Designing Wardrobe Intelligence to Reduce Fashion Regret
Young consumers purchase fashion items impulsively without understanding whether those items truly fit their existing wardrobe, lifestyle, or long-term needs.
Project Walkthrough
Watch how Aura's Wardrobe Intelligence evaluates a potential purchase and generates outfits in real-time.
Executive Summary
The Problem
Young shoppers impulsively buy trend-driven fast fashion, leading to cluttered closets, outfit anxiety, and massive environmental waste.
The Solution
An AI-powered "Compatibility Engine" that scores potential purchases against a user's existing digital wardrobe to prevent bad buys.
The Impact
Validated a behavioral shift from emotional impulse buying to rational, data-driven sustainable fashion choices.
Try the Prototype
Experience Aura firsthand. Tap the phone to load the high-fidelity prototype, then click through the three flows that carry the concept.
Best viewed on desktop — the prototype runs at mobile size inside the frame.
Project Overview
The Problem
Young consumers purchase fashion items impulsively without understanding whether those items truly fit their existing wardrobe. They struggle because they lack confidence in their clothing decisions.
Primary Goal
Design an AI-powered wardrobe intelligence platform that shifts behavior from impulsive buying to intentional wardrobe utilization.
My Role & Responsibilities
- •Lead end-to-end product design and strategy.
- •Conduct behavioral psychology research on buying habits.
- •Design the 10-Lens breakdown framework.
- •Architect the Wardrobe Compatibility Engine logic.
Constraints & Stakeholders
Stakeholders
- Gen-Z Shoppers
- Sustainable Fashion Brands
Constraints
- • 2-week tight timeline
- • High barrier to entry for wardrobe digitization
Let’s build something people actually enjoy using
I’m open to Product Design and UX/UI roles and collaborations. Tell me a little about the work — I reply to every genuine message, usually within 24–48 hours.
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