AI
Comersly
Upload a messy supplier spreadsheet. Get a commerce-ready catalog — brands cleaned, photos attached, storefront path written.


Overview
Comersly turns messy industrial catalog files into something a storefront can actually use. You drop a CSV or XLSX full of abbreviations, blank photos, and no Dept / Class / Fine — then the pipeline interprets the raw cells, classifies each row from a manufacturer page, writes catalog copy, attaches the manufacturer photo, and exports a commerce-ready file. The supplier sheet stays raw. This is the project that taught me how to ship a real product pipeline, not just a demo.
Features
- —CSV / XLSX upload for the file a supplier actually sends
- —Interpret supplier cells into catalog fields without overwriting the source
- —Classify each row into Dept / Class / Fine from a manufacturer page
- —Confidence scoring — high-confidence rows ship, the rest wait for review
- —Manufacturer photos attached, then one-click CSV or XLSX export
Tech Stack
Next.jsTypeScriptDrizzlePostgreSQLAI
What I Learned
- —How to design a multi-stage import pipeline: upload → interpret → classify → catalog → export
- —Why the raw cell has to stay — SQD is what the supplier typed, Square D is what the catalog sells
- —Building classification that waits on a real manufacturer page instead of guessing
- —Shipping a product people can click through end to end, not just a localhost experiment
Gallery

