EcomDataClean — Pre-AI-pilot client data checkup

Helps agencies assess whether an ecommerce client's data is usable before wiring an AI assistant

Problem

An agency took a paid AI pilot to connect an assistant to product info, then found the website and spreadsheet mismatched badly, many products had no useful descriptions, and some IDs weren't unique. Dirty data is extremely common early in AI projects and can sink a pilot, yet lightweight assessment tools are rare.

Solution

An ecommerce data checkup tool for AI pilots: connects to site and spreadsheet, detects missing descriptions, duplicate IDs, inconsistent fields, and messy formats; outputs a readable health score and fix list; offers cleaning suggestions or simple rule-based cleaning; tracks data quality before/after.

Users

AI service agencies, agencies, ecommerce operators, small merchants adopting AI assistants

MVP

Upload or connect product spreadsheets + scrape product pages; auto-detect missing descriptions, duplicate IDs, inconsistent fields; output a data health score and fix list; export cleaned CSV; track before/after pilot

Revenue

Per-project or per-record subscription; one-off data health reports; lead-gen for cleaning services or usage-based pricing

Why now

AI pilots are widespread but often fail on dirty data; agencies need a lightweight, reusable pre-assessment tool, and an indie dev can ship a vertical version fast