- Supplier document validation checks what a supplier sent against what your ERP says: the agreed price, the ordered quantity, the received goods and the quality specification.
- Document AI reads each page with intelligent character recognition and returns structured output that matches the schema you define, with no templates, no labeling and no model training.
- Four document families share one pattern: contracts and price lists, purchase orders and confirmations, invoices, and certificates of analysis.
- Rebates and trade-promotion deductions add a judgment step: the extractor reads the claim, and a rule or a person decides whether it matches the agreement.
Your ERP is right, and the documents do not agree with it
Your ERP holds the agreed prices, the open orders and the goods you received. The suppliers send PDFs, scans, spreadsheets and emails that should match those records, and your accounts payable, procurement and quality teams check them by hand.
Most documents match, so the checking feels like overhead. The ones that do not match are the reason for the work: a price above contract, a confirmation with a changed quantity, an invoice billed twice, or a certificate with a value outside specification. Template capture breaks when a supplier changes a layout, and each new supplier means another template, so the exceptions queue grows with your supplier base.
How supplier document validation works
A large language model or a vision-language model of your choice reads each page, and the extractor returns the fields you asked for.
Step 1: bring the documents in
Supplier PDFs, scans, photos, spreadsheets and email attachments enter a collection in Enterprise h2oGPTe by upload, connector or API.
Step 2: read every page
Intelligent character recognition reads text, tables, stamps and handwriting and understands what each value means, so differently labeled fields land in the same place.
Step 3: extract to your schema
You define the fields once as a schema, such as supplier, document date, SKU, quantity, unit price and terms. The extractor returns structured output that matches the schema for every document.
Step 4: check against the system of record
Each extracted value is joined to your ERP on keys such as supplier, date and SKU. Matches pass; mismatches become exceptions with the document and the ERP value side by side.
Step 5: act on the exceptions
An agent can route each exception to the right owner, draft the query to the supplier, and write the approved result back to the ERP. A person approves every change.
Four document families, one pattern
Contracts and price lists, purchase orders and confirmations, invoices, and certificates of analysis all follow the same extract, check and route pattern. Rebates and trade-promotion deductions add a judgment step: the extractor reads the claim, and a rule or a person decides whether it matches the agreement.
Staying inside your network
Documents stay inside your environment in any of four deployment options: on-premises, air-gapped, private cloud or cloud, and each extractor can use a model served inside your own network.