Account matching: the process and essential checks

Quick answer. Account matching consists of linking, on a third-party account, the entries that offset each other, typically an invoice and its payment of the same amount. It reveals what stays unmatched, that is, unpaid customer receivables and unsettled supplier payables. The process combines automatic matching for the bulk of the flow and manual matching for special cases, followed by the analysis of unmatched entries and the correction of discrepancies.

Matching is a basic accounting operation, but decisive for the reliability of third-party accounts. Done poorly, it leaves false balances and masks the real receivables and payables. Here is the matching process, step by step, and the checks not to miss.

Matching gives meaning to a third-party account balance.

A customer or supplier account records invoices and payments. Matching consists of reconciling the entries that cancel out, an invoice and the corresponding payment, by assigning them the same marker, or letter. Once these entries are matched, what stays unmatched is the useful information: invoices not yet paid on the customer side, invoices not yet settled on the supplier side. Matching thus turns a global balance into a clear list of real receivables and payables.

Without matching, a third-party account balance is unreadable: it is impossible to know which invoices remain due. This is why matching is a prerequisite for any analysis of third-party accounts, notably at the accounting close.

The process combines two complementary modes.

Automatic matching reconciles in bulk the entries with identical amounts: most invoices paid to the cent are matched without intervention. It is the tool that handles the bulk of the volume, quickly. Manual matching takes over for cases that automation cannot handle: down payments, credit notes, partial or grouped payments, payment discrepancies. These situations require the accountant's eye, reconciling entries of different but linked amounts.

The combination of both is the key: automatic for speed, manual for accuracy on special cases.

Matching is not limited to pairing amounts: it calls for controls.

You must analyse the unmatched entries: an old unmatched invoice is a receivable to chase or a payable to settle, sometimes a dispute. You must handle payment discrepancies, for example an invoice paid at a slightly different amount, which may reveal a discount, a retention or an error. You must spot duplicates and unallocated payments. Finally, matching can be undone, or unmatched, in case of error, to re-link the entries correctly.

Matching is an operation that automation has greatly eased, but which keeps an irreplaceable share of analysis. The mistake would be to believe that automatic matching is enough: it handles the simple, but leaves the risk cases, which are precisely those that reveal anomalies.

Our approach is to let automation handle the ordinary flow, then to focus human analysis on the unmatched entries and discrepancies, which carry the useful information: receivables to chase, payables to settle, errors to correct. Rigorous matching makes third-party accounts reliable, secures the close and feeds the dunning follow-up. Botched matching leaves third-party accounts unreadable and masks the real balances.

A company relied solely on automatic matching, without analysing the rest. Over the months, unmatched entries had piled up: unpaid customer invoices not chased, unallocated payments, untreated discrepancies. The customer account balance had become unreadable. Resuming the matching, by manually analysing the unmatched entries and correcting the discrepancies, revealed receivables to chase and errors to fix. The follow-up of third-party accounts was thereby restored.