Duplicate invoice submissions are a common problem for enterprises, leading to double payments, reconciliation errors, and financial losses. Legacy OCR systems can extract invoice data but lack the intelligence to cross-check new submissions against historical records, forcing finance teams to manually verify duplicates. This increases operational costs and creates compliance risks.
AI-powered duplicate invoice detection automates the identification of duplicate submissions by matching new invoices against past records based on invoice numbers, vendor details, dates, and amounts. By proactively preventing double payments, organizations reduce financial risk, save audit effort, and strengthen accounts payable controls.
This total cost of ownership calculator helps you evaluate the true ROI of the category using modern AI powered alternatives over traditional OCR based solutions.
Duplicate Invoice Detection
Detects duplicate invoices by comparing new submissions with historical records to prevent double payments.
Start by selecting a typical scenario or adjust the baseline details to reflect your exact needs. The calculator will update automatically.
Legacy OCR solutions achieve 80% accuracy and cannot reliably detect duplicates across invoice histories. Finance teams must manually review submissions, which increases processing time, costs, and the risk of missing duplicates that lead to double payments.
Modern AI leveraging OCR, NLP, and pattern matching achieves 92% accuracy ±2% in detecting duplicates. While this reduces manual workload significantly, AI cannot always identify near-duplicates caused by vendor errors or format differences, requiring targeted verification before final approvals.
Your AI investment isn’t delivering expected savings. This may indicate inefficiencies or incorrect assumptions in your current workflow.
Contact us to identify more optimization opportunities.
Contact Us