Accounts Payable & Receivable › Cash Application
What role does machine learning play in modern cash application?
AdvancedAnswer
ML improves matching by learning from historical application patterns, parsing unstructured remittance (emails, PDFs), predicting likely invoices for a payment, and auto-resolving common deductions. It raises straight-through rates beyond rule-based systems and adapts to customer behaviors, leaving fewer, harder exceptions for staff.
Real-world example An ML model reads emailed remittance and lifts the auto-match rate from 80% to 92% over a few months.