Customers need a more precise way to identify duplicate invoices, as the current system frequently flags recurring invoices with different dates or numbers as duplicates. This leads to unnecessary manual reviews and reduces efficiency in financial processing. We will enhance the duplicate invoice detection logic to include invoice date and invoice number in the matching criteria. This improvement will ensure that only genuine duplicates are flagged, significantly reducing false positives and streamlining invoice management for users.