Organize purchase orders by vendor, date, and PO number automaticallyautomatically
Archive purchase order documents with clear vendor names, PO numbers, and dates for procurement tracking and three-way matching.
No credit card • Rename in under 3 minutes
sample.pdf
Waiting for rename…
Date
2024-10-10
Invoice #
123-4567890-123
Issuer
QuickBooks
Organize purchase orders for efficient procurement and AP workflows.
- Connect procurement system exports or approval folders.
- AI extracts PO numbers, vendor names, dates, and approval details.
- Organize by vendor and date for seamless invoice matching and reconciliation.
Proof: 2.1k purchase orders organized last month at 96.2% average confidence.
Before → after filenames
No more download.pdf. Every document follows your naming convention automatically.
qb-invoice.pdf
2024-10-10_QuickBooks_Invoice_INV-123_AcmeCorp.pdf
Example naming rule
Rename to 2024-10-10_quickbooks_123-456789
Why teams adopt this workflow
Three-way match ready: Organize POs with clear numbering for automated matching with invoices and receipts.
Vendor management: Group POs by vendor for contract compliance and spend analysis.
Approval tracking: Extract approval dates and organize by workflow stage for procurement analytics.
How it works
Purchase orders auto-name to PONumber_Vendor_Date.pdf with 96%+ accuracy, ready for three-way matching and procurement analytics.
- Connect procurement system exports or approval folders.
- AI extracts PO numbers, vendor names, dates, and approval details.
- Organize by vendor and date for seamless invoice matching and reconciliation.
FAQ
Can I handle POs from different procurement systems?
Processes exports from major systems like SAP, Oracle, Coupa, and Procurify.
How do I prepare for three-way matching?
Organizes POs with standardized naming for automated matching with invoices and GRNs.
Will it extract line item details?
Focuses on header information - use for matching rather than detailed item extraction.
Make it part of your workflow
Connect integrations, use full-text extraction, or call the API for posts processing.
Supported in:
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