Instinct —

The Future of Predictive Retail

Product Designer / UX Designer

End-to-end product concept including interaction design, predictive AI logic, product architecture, and mobile UI design.

Fashion E-Commerce Still Runs on Search

INSTINCT explores a predictive shopping interface that anticipates context—such as location, weather, and intent—to introduce a styling direction before the user even begins browsing, prioritizing speed, simplicity, and a frictionless shopping experience.

3 Major Pain Points

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Decision Fatigue

Users must evaluate too many products at once.

Poor Discovery

Strong items get buried in inventory.

Low Emotional Engagement

Shopping becomes a mechanical task rather than an inspiring experience.

Home

The home screen introduces a styling direction based on real-world context, surfacing a hero product that fits the moment.

Styled Together

Styled Together expands the hero item into a complete outfit pairing, allowing users to view the full look or explore each piece individually.

Exploration

The category page allows users to browse the full assortment through a structured product grid with filtering options.

The Idea

INSTINCT replaces product-first browsing with direction-first discovery.

The interface surfaces:

1. Direction
A hero product aligned with context (weather, location).

2. Styling
Pieces that visually complete the outfit.

3. Expansion
A curated capsule extending the look.

Users see fewer items, but with stronger intent.

The Capsule page expands the styling direction into a curated edit of pieces that extend the look and mood.

Product Detail

The product page presents detailed information, styling context, and complementary pieces to complete the look.

Predictive Search

Predictive Search surfaces relevant queries and products in real time, combining user intent with contextual signals such as location, weather, and trends.

Checkout Bag