Fraud Detection

Use Machine Learning to identify fraudulent clients or transactions.

I want more info

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