The questions teams ask before they upload a vendor master.

Two standard exports from your ERP: a vendor master (one row per vendor, with name, number, address and tax ID) and a spend file (one row per vendor per month, with the amount). Our ERP export guide shows where these live in the major systems.

Minutes. You upload the two files, follow four steps to map the columns, and the AI starts classifying and enriching in the background while you look around.

No. There’s no integration, no connector, and nothing to install. If you can export two reports from your ERP, you can run SpendAware yourself.

Yes — start free with up to 100 vendors, no credit card. You can also load a demo dataset in one click to see the whole thing working first.

It looks up each vendor and assigns a NAICS code, an industry, and a website; it dedupes variant names across systems into one true supplier; and it maps everything into your categories. Then it can write an analysis for the lens you choose — procurement, finance, risk, or executive.

We won’t quote you a magic percentage — no real vendor master is clean enough to make one meaningful. Instead, a data-health view shows you exactly what loaded and what’s thin, the AI flags what it can’t place, and you review and override every call. You’re also only billed for enrichment when it succeeds.

You override it. The AI does the first pass; the final call is always yours, and your corrections stick.

Yes — that’s a core strength. SpendAware matches the same supplier across SAP, Oracle, JD Edwards and more, so duplicates that span systems roll up into one.

On your vendor count. Your monthly tier is set by how many vendors you manage, and AI enrichment, extra users, and storage are simple add-ons. The cost calculator shows your true all-in number — nothing hidden.

$0.30 per vendor for the first 2,500, then $0.25 — a one-time charge, and only when we successfully assign a NAICS code. If we can’t classify a vendor, there’s no charge.

No. No setup fees, no implementation cost, and no long-term contract required.

It’s encrypted in transit and at rest, scoped to your workspace, and used only to produce your analysis. We don’t sell it or train public models on it, and you can delete it whenever you want. More on our security & trust page.

On Microsoft Azure, in US-based regions. All of your data is hosted in the United States and doesn’t leave the country.

Yes. Remove a dataset any time; when you delete your data or close your account, we delete your files on our side.