Identifying collection treatments that are most likely to be successful for each customer is critical for collection organizations with limited resources being asked to do more with less. Out of your delinquent customers, who will self-cure? And who should be treated more aggressively? Who should you focus your human resources on? Who will make a larger payment? In this webinar, we discuss off-the-shelf and custom predictive scores for early- and late-stage collections. Predictive scoring is a vital foundation for good collection strategies that will help retail banks make the most of your limited resources. We also discuss the use of machine learning algorithms in boosting the predictive power of collection models.
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