Case study — Zia

Zia

Built an AI styling assistant that gives genuinely personalized fashion recommendations. Users share their preferences, body type, and skin tone. Zia uses vision AI to analyze the user and catalog items, then matches clothing that actually works for them.

Client

Zia

Sector

Vision Transformer · Conversational AI · Python · Image Processing

Zia: AI Stylist with Vision-Based Personalization

Zia: AI Stylist with Vision-Based Personalization

A stylist that actually sees you.

Introduction

Zia is an AI styling assistant that gives genuinely personalized fashion recommendations — not generic trend lists. Users share their preferences, body type, and skin tone, and Zia uses vision AI to analyze both the user and the catalog items, then matches clothing that actually works for them. It's personalization that goes beyond keywords, grounded in how an outfit will really look on the person wearing it.

Demo

What makes it personal

  • Vision-based analysis — reads body type and skin tone rather than relying on self-reported sizes alone.
  • Catalog matching — visually understands each item to pair it with the right user.
  • Preference-aware — blends stated taste with what genuinely suits the individual.
  • Conversational — recommendations come through natural back-and-forth, not a form.

Tech Stack

Vision Transformer · Conversational AI · Python · Image Processing

Where is the same work happening in your business?

The assessment finds it, prices the fix, and tells you what it returns. Two to four weeks, fixed fee, quoted on the call. You keep everything it produces.