Every PO. Every Receipt.
Every Invoice. Matched.

AI matches invoices to purchase orders using fuzzy logic that handles PO number variations, partial shipments, and multi-line consolidation.

• Fuzzy PO number matching across vendor formats
• Partial shipment matching with running balance tracking
• Multi-PO to single invoice consolidation matching
• Credit note auto-association with original invoices

Cross-references goods receipt documents with PO quantities and invoice claims — catching over-delivery, under-delivery, and phantom receipt entries.

• Quantity variance detection (PO vs. GR vs. Invoice)
• Over-delivery acceptance monitoring and alerting
• Under-delivery with full-price invoice flagging
• Goods receipt timing anomaly detection

Real-time comparison of invoiced prices against PO contract prices, catching price escalation, surcharge additions, and unit price manipulation.

• Unit price variance detection (PO price vs. invoice price)
• Unauthorized surcharge and fee identification
• Currency conversion rate validation
• Tax calculation verification against jurisdiction rules

ML models analyze the timing of PO, receipt, and invoice events — detecting suspicious sequences that indicate fraud or process failures.

• Invoice-before-receipt detection (goods not yet received)
• Backdated goods receipt identification
• Receipt-PO timing gap analysis (unusually fast or slow)
• Duplicate receipt entry detection

Intelligent tolerance thresholds that adapt by vendor, material category, and transaction size — preventing both over-blocking and under-catching.

• Dynamic tolerance thresholds per vendor and category
• Percentage and absolute value tolerance support
• Tolerance override tracking and approval workflow
• Tolerance abuse detection (systematic near-miss patterns)

AI-powered recommendation engine that suggests resolution actions for match exceptions — reducing manual investigation time by 75%.

• Auto-classification of exception root causes
• Resolution recommendation with confidence scoring
• Historical resolution pattern learning
• One-click resolution for high-confidence matches