Matching Remittances

The manual reconciliation process consumed two days each week, dealing with statements that included 300 to 400 invoice lines. Frequent exceptions arose due to payment mismatches across multiple companies, further complicating the task. Additionally, the absence of a standardized method resulted in inefficient and error-prone procedures.

Remittance matching was automated using UiPath Document Understanding, complemented by a custom application designed to flag and track exceptions. To accommodate varied remittance formats, tailored data models were developed for each customer. Additionally, machine learning techniques and custom validations were applied to continually enhance accuracy over time.

The automation efforts reduced remittance matching time to just 25 minutes per day, with an additional 15 minutes required for ERP synchronization. This led to a 50–70% reduction in manual workload, freeing up significant capacity. Matching accuracy reached 80%, with ongoing improvements driven by continuous retraining of the system.