Minimize fraud losses.
Our model analyzes historical behavior, customer characteristics and transactions to identify patterns that indicate possible fraud.
For what?
- Identify the highest proportion of existing fraud
- Prioritize the cases to be analyzed in search of fraud
- Automate constant surveillance in search of fraud.
- Accelerate the analysis time of each case
Expected results
- Reduce fraud losses.
- Increase effectiveness in fraud detection.
- Reduce the costs associated with fraud detection.
Business Cases
- Fraud prediction of:
- Sales transactions
- Customer registration
- Unsubscribe from customers
- Claims