Accounting & BookkeepingAccounts Receivable / Collections4HighFinance Team / Accountant$ implied

Matching incoming bank payments to invoices without a payment reference takes significant manual effort, especially at high volume.

Existing invoicing systems handle invoice creation but lack intelligent payment matching when the customer omits the invoice number, requiring manual lookup and reconciliation.

Opp. Score

Severity

4High

Willingness to Pay

implied

Added

May 13, 2026

Workarounds Described

search through invoices manually
compare payment amounts
check bank records
figure out which payment belongs to which customer
fix everything again during reconciliation

Implied Software Gaps

Automatic payment matching using bank data and fuzzy logic
Dashboard to reconcile payments in bulk with minimal manual effort
Detection of missing references and suggested match based on amount and date

App Concept

MatchFlow

MatchFlow automates the reconciliation of incoming bank transfers to outstanding invoices by using bank statement data, fuzzy matching, and machine learning to suggest/auto-match payments even when the reference is missing or incorrect. It plugs into existing accounting software and reduces manual payment matching to near zero.

Key Features

Automatic import of bank transactions via API/CSV
Fuzzy matching against invoice amounts, customer names, and dates
One-click confirm or merge unmatched payments
Real-time dashboard of matched vs. unmatched payments
Integration with QuickBooks, Xero, and other accounting platforms

Target Users: Finance teams and accountants at small-to-mid-sized businesses (10-200 employees) who receive a high volume of bank transfers without invoice references.

Revenue Model: $49/mo per user SaaS subscription with a free 14-day trial

Existing Solutions Mentioned

invoicing systems

Part of App Idea

CollectSafe AR

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