Customer Challenge

​

An international waste management company spent considerable time ensuring cash allocations were correct and reconciled on a monthly basis from bank payments. 

 

Account queries were time-consuming and difficult to correct, whilst also impacting on the customer relationship, therefore significant effort was spent ensuring multi-invoice payments were correctly matched to corresponding invoices based upon the remittances received from customers.

​

This was a manual process involving up to five staff across the monthly period.

​

Solution Provided

​

Kanbina was approached to provide a solution which would automate the reconciliation process as much as possible, to ensure timely and accurate allocation of customer payments.

​

Kanbina’s state-of-the-art AI Intelligent Document Processing platform, machine-learning models and APIs orchestrated by a single application, were able to identify the relevant customer from a remittance document, then match to invoices based upon the client’s own ERP data.

​

The APIs were able to physically allocate invoices in the client’s ERP against bank transactions where necessary.

​

Only those remittances which required supervisor review were serviced to the Accounts Receivable manager.

 

Impact of Solution Provided

​

Rather than having to match and reconcile all customer payment remittances, only those 5 % which had incorrect payment amounts or queries required manual intervention. This reduced the effort to two members of staff as part of their monthly routine. 

​

Queries were also managed more quickly meaning most account disputes were resolved within the accounting period which payment was received.

​

Technologies used

​

Kanbina BR, Kanbina AI Platform