CategoryOs

I work on an e-commerce category team, and a big part of our week goes into cleaning up vendor data by hand. Price sheets come in with columns swapped and prices written as "Rs.399/-", licences are scanned PDFs, and half the terms are agreed on calls or in Hinglish emails. Onboarding one new vendor takes us about a week. CategoryOS does that work. It checks a vendor's documents, picks which SKUs to take and at what terms, builds the catalog listings, plans the launch and raises the first PO. On a vendor call it listens along and tells me what an offer is actually worth. For example, "15% margin plus 20% marketing support if you sell 2,000 units in 90 days" sounds like 35%, but we'd almost never hit 2,000 units, so it's really 15%. It also handles the weekly routine: vendor reviews, price increase requests, late POs, catalog fixes. I didn't want a tool that's confidently wrong, because one bad number means a bad deal or a wrongly priced product. So the models only read and explain. Every number they give is checked against the cell or line it came from, and anything that doesn't match gets sent back or dropped. In testing it caught 198 out of 200 planted mistakes. With CategoryOS, onboarding a vendor took two hours. Live app: https://categoryos.vercel.app (all data is made up)