Engage with customers moving towards a high risk of non-payment, even before they enter into collections.
Customer propensity scores for future non-payment, including deciles and centiles.
Understand key predictors of customer non-payment
Performance assessment and ROI simulation
Identify the key early warning drivers of non-payment and develop customized offers aimed at preventing these issues.
This describes how far ahead in the future this model can be trained to predict. Ideally, the historical data available for training would be 2-3 times longer than the prediction window.
Intervene with at-risk customers in a timely manner and prevent future financial issues.
Proactively mitigate potential non-payment risks before they escalate through continous model refresh, ensuring better financial stability and customer retention.
A typical modeling engagement with GlorifAI lasts 3-4 weeks once we get access to the data and proceeds in three distinct phases.
