DEDavid Erfanian
Case Study

EFFY AI

Enterprise AI Image Recognition and Jewelry Design Platform

A jewelry-focused artificial intelligence platform for identification, redesign, motif classification, and enterprise workflow integration.

View interfaces ↓All projects

Project overview

I built AI capabilities directly into the enterprise product ecosystem so users can search from images, generate controlled product variations, classify motifs, and explore matching-piece concepts without leaving existing workflows.

My rolePlatform designer and full-stack developer
TechnologyPython · Flask · SQL Server · Computer Vision · Generative AI · Image Processing
IntegrationsStyleLookup, product data, image repositories, motif data, enterprise workflows
ResultCreated an internal AI capability controlled by the organization and integrated with existing product and operational systems.
The Context

Business challenge

Teams needed better ways to identify jewelry when exact style information was unavailable and to explore design variations without producing a physical sample for every concept.

The Build

Solution and capabilities

I built AI capabilities directly into the enterprise product ecosystem so users can search from images, generate controlled product variations, classify motifs, and explore matching-piece concepts without leaving existing workflows.

  • Image-based matching to likely style numbers and product records
  • Visual redesign of gemstones, diamond shapes, metal colors, and design characteristics
  • Matching-piece and coordinated collection exploration
  • Motif classification and structured category mapping
  • Integration of AI results with existing product and sales systems
  • Internal ownership of data, integrations, refinement, and future expansion
Next Case Study

Explore the wider enterprise portfolio.

View the connected systems, supporting technologies, and other production applications.

Enterprise ecosystemExplore →All projectsBrowse →ResumeView PDF →