Enhance Customer Retention with Predictive Analytics Workflow

Detect High-Risk Customers

Type: Predictive Analytics

Business Workflow Step: Detect High-Risk Customers This step involves analyzing customer data to identify those who pose a high risk of defaulting on payments or engaging in other undesirable behaviors. The process begins with the collection and integration of various data points, including credit scores, payment history, and purchase behavior. The system then applies machine learning algorithms to flag customers who exhibit suspicious patterns or characteristics associated with high-risk activity. These flags are reviewed by human analysts for verification and validation, ensuring that only legitimate high-risk customers are identified. The outcome of this step is a list of high-risk customers that can be used to inform targeted interventions, such as enhanced monitoring, stricter credit limits, or even termination of service. This helps businesses minimize losses and protect themselves against potential financial harm.