AI · Product Data
AI Product Data Automation
Automated enrichment of product attributes across a 13,000+ item catalog.
01 — Business Problem
Product characteristics were incomplete and inconsistent, which hurt search, filters and selection.
02 — My Role
I built the processing pipeline, prompt logic, validation rules and review workflow.
03 — Solution
Source descriptions are parsed and normalized into a structured attribute schema, with validation before import.
04 — Architecture / How It Works
Batch extraction · LLM structuring · schema validation · review queue · catalog import.
06 — Challenges
Batch cost control and preventing plausible but wrong attribute values from reaching the catalog.
07 — Result
Consistent, filterable product data at a scale that was not feasible manually.
05 — Technologies
Employer source code and confidential business data are not published.