SWStrategies built an ML (Machine Learning) model for the loans in collections with over 1000 features to analyze the loans
The model categorized the loans as “self-correcting”, “potentially-fraudulent”, and “collectable”
We built intelligence into our process which continuously file-tuned the model with a feedback loop
