Automated Cash Application Software

Automated cash application is the process of matching incoming customer payments to open invoices without manual reconciliation.

Instead of reviewing bank statements and ERP ledgers manually, automation software reconciles payments using structured data and intelligent matching logic, improving accuracy and reducing processing time.

FinFloh ingests bank statement data and open invoice data from ERP systems, then applies configurable matching rules and intelligent algorithms to reconcile payments automatically.

Payments are matched using invoice numbers, customer identifiers, amounts, and remittance details, significantly reducing manual intervention.

Yes. FinFloh supports complex reconciliation scenarios including partial payments, short payments, overpayments, bulk remittances, and multi-invoice settlements.

The system intelligently allocates payments across invoices while maintaining structured exception handling and full audit visibility.

FinFloh captures and processes remittance information from bank references, structured data feeds, and supporting documentation.

Relevant identifiers such as invoice numbers and payment references are extracted and matched against open invoices to accelerate reconciliation and reduce unapplied cash.

If a payment cannot be matched with high confidence, FinFloh routes it into a structured exception workflow.

The system provides suggested matches and contextual information to help finance teams resolve discrepancies quickly while maintaining control and accuracy.

Unapplied cash occurs when payments are received but not properly matched to invoices.

FinFloh reduces unapplied cash by combining intelligent matching logic, configurable allocation rules, and real-time visibility into unmatched payments.

This improves ledger accuracy and strengthens financial reporting reliability.

FinFloh integrates with ERP systems such as Oracle NetSuite, Oracle Fusion, Microsoft Dynamics 365, and SAP S/4HANA.

It connects with banking data feeds or imported bank statements to reconcile payments directly within the ERP environment, eliminating manual re-entry and reconciliation gaps.

Manual cash reconciliation requires reviewing bank statements, interpreting remittance details, cross-checking invoice data, and posting allocations into ERP systems.

FinFloh automates payment matching, allocation, and exception routing, significantly reducing manual workload.

Finance teams can process higher payment volumes without increasing headcount and accelerate month-end close cycles.

FlohSense AI Agent reads and parses incoming customer emails to extract payment-related information such as payment reference numbers, invoice references, amounts paid, and remittance details.

It automatically matches the extracted data with open invoices and customer records in the ERP system, validates the allocation, and posts the payment into ERP when confidence thresholds are met.

Payments requiring review are routed through structured exception workflows.

By converting unstructured email communication into structured ERP postings, FlohSense accelerates straight-through cash application, reduces manual reconciliation effort, and increases automation rates.

By reducing manual reconciliation and accelerating payment allocation, FinFloh shortens reconciliation cycles and improves ledger accuracy.

This enables finance teams to close books faster with fewer manual adjustments and improved audit readiness.

Every payment allocation, adjustment, exception resolution, and ERP posting is logged with a detailed audit trail.

FinFloh provides visibility into matching logic, user approvals, and posting history, ensuring compliance, transparency, and strong internal financial controls.