Appzotic
Portfolio Style Match
AI · FashionWeb applicationProduct

Style Match

AI-powered fashion discovery

AI-powered fashion discovery — upload an image and match similar items across brands.

See every view Build something like this
This product holds
  • Visual search
  • 1M+ items
  • 1000+ brands
  • 95% match accuracy
Style Match · Find your perfect style match
Product
Style Match
Industry
Fashion · AI
Platform
Web application
Status
Product
Year
2026
What’s inside

The product, module by module.

Everything a client would actually use — not a feature dump, the operating pieces of the system.

01

Visual search

Upload any fashion image to find similar SKUs.

Intent starts from a picture.
02

Brand catalog

1M+ items and 1000+ brands in the index.

Matches are shoppable, not moodboard-only.
AI engineeringProduct designWeb engineering
How it looks

Every view we shipped.

Click any screen to open it full size. These are the live product surfaces — dashboards, flows, and themes.

The brief

Why it exists, and what it changed.

The problem

Search boxes cannot match a look someone already saw on the street or in a screenshot.

What we built

Visual search over a multi-brand catalog using color, pattern, and silhouette.

What changed

Upload an image, get comparable items from 1,000+ brands with a stated match accuracy.

01

Visual, not textual

The query is an image. The index has to survive color and pattern, not just category tags.

Impact · The landing has to teach upload in one beat.
How it’s built

Delivery path, stack, and system shape.

Phase 01

Hero

AI-powered fashion discovery with start-visual-search as the primary act.

Phase 02

Match

Color and pattern scoring against a million-item catalog.

React
TypeScript
Computer vision
Experience
Style Match web
Edge & trust
Image upload
Application
Visual search
Catalog
Data
Fashion items
Brand index
Operations
Match scoring
Encrypted in transit and at rest End-to-end observability Independently scalable services
Impact

What a buyer should feel after launch.

1M+

fashion items

95%

match accuracy

95% match accuracy

Shoppers can chase a photo.

“We finally have a search that starts where fashion actually starts — with a picture.”
Product
Style Match
More work

Other products in the studio.

Project FAQ

The details behind the delivery.

How long did the project take?

The core engagement ran for an AI product cycle. Discovery and architecture came first, followed by incremental releases and a structured transition into continuous improvement.

Why was this technology stack selected?

React, TypeScript and computer vision provided the best balance of team fit, ecosystem maturity, security, delivery speed and long-term operating cost. Every major choice was documented through architecture decisions.

How were security and scalability handled?

Threat modeling, least-privilege access, automated security checks and observability were built into delivery. Load and failure testing validated the critical paths before launch.

What support followed launch?

Appzotic provided launch command, operational monitoring, knowledge transfer and a prioritized evolution roadmap. The client could choose continued product support or full internal ownership.

Start your project

Want a product that looks this considered?

Bring the workflow, the constraint, or the screenshot of what you wish existed. We’ll shape the system around it.

Schedule a discovery call Back to portfolio