Organize supplier statements for AP reconciliation and dispute resolutionautomatically
Archive supplier account statements with clear vendor names and periods for accounts payable reconciliation and vendor dispute management.
No credit card • Rename in under 3 minutes
sample.pdf
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Date
2024-09-15
Statement #
123-4567890-123
Issuer
American Express
Organize supplier statements for efficient vendor reconciliation.
- Connect vendor statement folders or email attachments.
- AI extracts vendor names, statement periods, and account balances.
- Organize by vendor and period for systematic reconciliation workflows.
Proof: 1.5k supplier statements organized last month at 95.8% average confidence.
Before → after filenames
No more download.pdf. Every document follows your naming convention automatically.
amex-statement.pdf
2024-09-15_Amex_Statement_Platinum_August-2024.pdf
Example naming rule
Rename to 2024-09-15_american-express_123-456789
Why teams adopt this workflow
Reconciliation efficiency: Organize statements chronologically for systematic vendor account reconciliation.
Dispute resolution: Quickly locate statements for payment disputes and vendor balance confirmations.
Vendor management: Group by vendor for relationship management and payment term analysis.
How it works
Supplier statements auto-name to Vendor_StatementPeriod_SupplierStatement.pdf with 95%+ accuracy, ready for AP reconciliation.
- Connect vendor statement folders or email attachments.
- AI extracts vendor names, statement periods, and account balances.
- Organize by vendor and period for systematic reconciliation workflows.
FAQ
Can I handle statements from different vendors?
Processes statements from any vendor format, standardizing naming across suppliers.
How does this help with reconciliation?
Provides chronological organization for matching against your AP ledger and payments.
Will it extract aging details?
Focuses on statement metadata - detailed aging analysis requires separate processing.
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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