Fraudulent transactions detection in a real time with Machine Learning models based on VISA and Mastercard data

‍Challenge

Detecting fraudulent and biased payment transactions in real-time has been a persistent issue. Existing systems often fail to recognize patterns of fraud efficiently, leading to financial losses and reduced customer trust.

Solution

• Create, test and deploy Unsupervised & Supervised Machine Learning models for revealing biases in payment patterns and fraudulent transactions in a real time.
• Create automation workflows with integration to VISA, Mastercard, FX and internal CRM data.
• Prepare BI dashboards with online transactions monitoring and real-time alerting system.

Key Results

• Increase fraud detection accuracy by 90%.
• US$2.5M saved due to anti-fraud prevention.

Why Choose SLS?

The SLS platform offers an advanced anti-fraud solution that:  

• Continuously adapts to evolving fraud patterns through AI-driven models.  
• Ensures real-time monitoring and response, safeguarding transactions around the clock.  
• Integrates seamlessly with global payment systems like VISA and Mastercard for comprehensive coverage. 

With SLS, organizations can protect their financial assets, enhance customer trust, and maintain compliance with regulatory standards. 

Questions Answered:

How can we detect fraudulent transactions in real-time to minimize losses?  

• Answer: By leveraging SLS's AI-powered machine learning models and real-time alerting system integrated with payment networks like VISA and Mastercard.  

How can we improve fraud detection accuracy and reduce costs?  

• Answer: The SLS platform increased fraud detection accuracy by 90% and saved $2.5M in the first year by automating workflows and using advanced ML algorithms. 

‍