Risk assessment late payment

Development of a model to predict late payment.
Prediction model for the identification of late payments
Concrete recommendations for action to avoid
of late payment, based on the selected cost function


A pharmaceutical company wants to optimise its working capital by reducing the proportion of outstanding invoices.



An algorithm was developed to predict whether an invoice will be paid on time and a cost function was created to optimise the threshold for recommended actions. In addition, the algorithm was adapted to specific markets.



The result is a prototype that can be implemented directly in the sales process and which predicts a concrete recommendation for action at the time of purchase.
The handling is very easy due to an intuitive traffic light colour system.

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