Case Study: Leading Media and Online Technology reduces duplicate invoice payments with Persistent Systems

Detecting and preventing duplicate invoice payments with machine learning

Persistent Systems helped a leading media and online technology company tackle a costly challenge: duplicate invoice payments that were causing cash leakage. The customer faced thousands of vendor invoices and employee transactions each month, and manual review processes were unable to reliably catch duplicate vendor names, payment transactions, invoice numbers, dates, and amounts.

Persistent Systems implemented an automated machine learning-based solution using fuzzy logic and comparison algorithms to identify potential duplicate invoices and employee transactions. The system automated invoice validation, enabled daily review of positive audit records, improved reporting, and strengthened data security with encryption keys, delivering a scalable and secure ML infrastructure that reduced manual work and helped prevent duplicate payments.