ListingPilot turns messy supplier spreadsheets into review-ready listing packs for Shopify, Etsy, Amazon and eBay. It detects duplicate SKUs, rebuilds Color × Size variant groups, flags missing attributes and mismatched image filenames, suggests category normalization, checks margins and separates blocked rows from import-ready exports. Safe fixes never invent missing product facts, and all processing stays in the browser.

I built ListingPilot after realizing that ecommerce listing work is rarely just “write a better description.” The costly part is cleaning supplier data, finding missing attributes, keeping SKU and category fields consistent, and adapting the same verified facts to different marketplace constraints. The first version therefore stays deliberately conservative: it generates drafts, highlights gaps and exports files, but never publishes automatically. The public demo shows the complete generated pack and its quality checks using fictional sample data. I would especially value feedback from sellers who work with messy supplier spreadsheets: which inconsistency still causes the most manual cleanup?

ListingPilot

Supplier data to marketplace-ready listing packs

Supplier data to marketplace-ready listing packs