revX implements machine learning methods and model predictions to detect potentially fraudulent activity during returns processing. The solution scores risk and applies rules or conditions to filter out potential fraud. Returns that are flagged as potential fraud are held for expert review before a refund is issued.

revX defines and applies risk scores that ensure you take the appropriate steps for each case, rather than a one-size-fits-all approach. We help you determine low-risk cases likely to self-cure, medium-risk cases likely to respond with compliant behavior following phone/notice contact, and high-risk cases that should be expedited to an enforced collections action.

The revX platform includes the ability to identify audit cases more likely to result in a positive yield, saving time and resources while offering an easy-to-use reporting framework with an intuitive drag-and-drop user experience.