Hunter is ideal for identifying application inconsistencies and detecting suspicious applications across multiple channels. One of the key strategies to reduce losses is the identification and prevention of suspicious applications. Using proven detection rules, Hunter screens for, and highlights application inconsistency, enabling suspicious applicants to be stopped before they become customers. This helps in reducing losses and controlling bad debt. Hunter uses customised rules to match the application data against multiple data sources including your existing data and shared databases of suspicious applications. The results are measured to give a level of risk indication. The suspicious applications are moved into the investigation tool for further analysis and action.