Segment your customer base by non-payment risk using our advanced model.
Customer propensity scores for missing the next promise-to-pay, including deciles and centiles
Understand key predictors driving non-payment behavior
Performance assessment and ROI simulation
Optimize action cadence and treatment to mitigate non-payment risk
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.
Boost payment rates while reducing collection costs.
Maintain high rates of promised payments through continuous modeling.
A typical modeling engagement with GlorifAI lasts 3-4 weeks once we get access to the data and proceeds in three distinct phases.
