Improve debt collection processes with AI

In addition to conventional decision logics for determining the next step, there are many other exciting applications in receivables management, including the automation of complex written communication with end customers and third parties. This requires the accurate recognition of incoming queries and the correct deduction of next measures. Performing this assessment using artificial intelligence enables the direct initiation of steps, respectively context-dependent forwarding to the right administrators. By combining machine learning with human experience, this allows queries to be answered effectively and as quickly as possible. After deciding to entrust manual processes in debt collection to artificial intelligence, two important topics need to be considered: firstly, the quantity, nature and quality of the database that can be used for modelling.