Challenge
A top German provider of telecommunications contracts and hardware regularly has to contend with unpaid invoices from its customers for contracts involving hardware, as this causes severe financial damage to the company. The goal and challenge was to predict these fraud cases as best as possible and prevent them accordingly.
Solution
With the help of a supervised machine learning pipeline including customized feature engineering, it is possible to predict whether future invoices can be paid or not based on various customer information in combination with payment history.
Added value
Highlights