Many-to-many payment allocation
One payment can clear several open items, while one open item can be covered by several payments.
PointVAL process · Payment matching and open-item clearing
We connect transactions from banks, Revolut Business, Stripe and PayU to the correct counterparty and open items. The result is not merely a transaction list, but an up-to-date view of outstanding receivables and payables.
The API removes the file, not the control
A user initiates data retrieval. The system checks completeness, proposes matches and retains confirmed decisions, while ambiguous cases remain with the operator.
Process flow
Import is only the beginning. Value appears when a transaction is matched to the correct counterparty and open item, with an explainable decision history.
Transaction source
01A user imports a bank statement or initiates retrieval from Revolut Business, Stripe or PayU through the API.
Import controls
02The system checks statement continuity, balances and duplicates, and retains the source data.
Counterparty identification
03Matching uses the IBAN, the Polish VAT whitelist, transaction data, payment references, remittance information and previous confirmations.
Open-item matching
04The system scores open items using factors such as amount and document reference, and presents the strongest candidates first.
Review and clearing
05The operator confirms the match, allocates the amount where necessary, and the open-item status is updated when the result is saved.
Clear division of responsibility
Process control
One payment can clear several open items, while one open item can be covered by several payments.
As soon as a sales or supplier invoice or a payment is entered, the paid amount, outstanding amount and clearing status are visible.
Separate work queues show outgoing payments without supplier invoices and incoming payments that still require a sales invoice.
The statement file and payment relationships are retained, while an import can be safely reversed and run again.
Measured client process
After import, the system identifies the counterparty and proposes open items for clearing. The operator handles ambiguous cases, while a confirmed decision helps with the next similar transaction.
The measurement covers one real role and a typical monthly volume. It excludes the additional benefit of fewer errors.
5–6 h
to process one month manually
≈30 min
monthly processing after automation
4.5–5.5 h
recovered in a typical month
Measurement before and after
What matters is the path from acquiring the transaction to correct payment allocation, open-item clearing and exception resolution. We measure the same scope before and after the automation goes live.
Transaction volume by account, currency and source.
Working time required to import and clear the month’s transactions.
The share of counterparties and open items identified without a manual search.
The number of exceptions, corrections, reversals and missing documents.
For the first call, the data sources, approximate monthly transaction volume and your current method of finding counterparties and open items are enough.
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