Instead of asking users to design one piece at a time, I reframed the experience around a simpler question:

"What does your wardrobe need?"

This led to a shift from garment-level design → wardrobe-level thinking.

I introduced a Wardrobe Planner that captures high-level inputs like occasion, vibe, materials, and silhouettes. Using these, the system generates a cohesive capsule of multiple pieces, each presented as an editable vision board.

Users begin by selecting:

• Occasion (wedding, workwear, daily, etc.)
• Vibe (minimal, expressive, earthy…)
• Materials
• Silhouettes

AI translates these inputs into structured preferences and generates a set of coordinated pieces.

Instead of a single output, users receive a capsule of 4–6 pieces.

Each piece is:

• Contextually relevant to the occasion
• Stylistically consistent
• Designed to work together as a system

Each piece opens into a vision board, where users can explore and refine:

• Fabrics
• Artwork
• Craft techniques
• Color
• Placement

AI supports by pre-filling and suggesting, while keeping full control with the user.

Capsules and individual designs are organized into a unified dashboard.

Users can:

• Revisit capsules
• Refine pieces
• Manage multiple wardrobe directions

The system supports iteration over time, not just one-time creation.

AI acts as a silent stylist: no chat, no voice, no interruptions. It supports the flow by:

• Predicting preferences
• Generating visual outputs
• Reducing unnecessary decisions

The experience stays visual-first, calm, and guided.

The experience transforms from a heavy, form-based process into something more intuitive and inspiring.