15,000 Invoices/Month.
You Review 300.
Fraud Lives in the Other 14,700.
FraudGuard reviews every invoice — all 15,000 — in real time, before payment posts. Tare weight manipulation, invoice splitting, three-way match bypass, vendor collusion: all detected and blocked in under 500 milliseconds.
5 Procurement Fraud Schemes Hitting Your Operations
Each scheme is invisible to standard SAP controls. Each requires a dedicated AI engine.
Invoice Splitting
Vendors deliberately split large invoices below approval thresholds. A $340K invoice becomes four $84K invoices — each approved automatically.
Same vendor, same period, amounts just below threshold
Duplicate Payments
Identical invoices submitted weeks or months apart, often with slight reference number variations, across multiple subsidiaries.
Cross-entity vendor amount pattern matching
Tare Weight Manipulation
Receiving scales systematically set to underreport tare weight. You pay for goods never delivered. Average loss: $127 per truck crossing.
Statistical deviation from baseline tare-to-gross ratio
Three-Way Match Bypass
Goods Receipt and Invoice amounts match on paper but differ from original PO. Manual matching misses 2–3% of all line items.
PO-GR-Invoice triangulation with tolerance modeling
Vendor Collusion
Preferred vendor relationships lead to above-market pricing, kickbacks, or goods-not-received payments over multi-year periods.
Vendor pricing drift vs. market benchmarks + relationship mapping
Combined: $17.9M in procurement fraud — all blockable pre-payment
Procurement Operations: Before vs. After
Real-Time Vendor Intelligence
Know every vendor risk before the next PO is raised
Vendor Risk Scoring
Dynamic risk score for every active vendor updated daily based on payment behavior, pricing drift, and market benchmarks
Invoice Pattern Analysis
ML clustering detects invoice splitting patterns, threshold gaming, and temporal concentration anomalies
Market Price Benchmarking
Vendor contract prices compared against commodity indices, peer company averages, and historical trends
Relationship Graph
Vendor ownership, shared bank accounts, and personnel overlaps surfaced from public records
Case Study: Tare Weight Fraud
The fraud your QC team and auditors never catch
Receiving operations at 4 plants across 2 states
FraudGuard detected statistical deviation in tare-to-gross ratio at Plant C within 11 days of deployment
Vendor contract terminated. $2.4M recovery initiated. Scale vendor audited. New calibration protocol implemented.
Operations Impact Summary
Stop Reviewing 300 Invoices. Review None.
FraudGuard escalates only the anomalies that need human attention. Your procurement team focuses on strategy, not fraud detection. Every invoice is covered. Every fraud is blocked.