Rules complement Ravelin's machine learning system. At Ravelin’s core is a machine learning system that evaluates each customer’s risk level in real-time. Machine learning is great at recognising patterns in data and self-learns from new data, which makes it a great approach for preventing fraud.
Ravelin's machine learning can block a substantial number of fraudulent orders. However, for businesses that need more control over which orders should be blocked, rules are a powerful tool to use.
Benefits of rules include:
- rules express well the policies and procedures that a business has to tackle fraud
- rules do not require large volumes of data to be effective
- rules will start to impact orders from the moment they are deployed
- rules are easy to understand and explain when an order is prevented