Case Study: A/V/E GmbH reduces customer churn with SAP Predictive Analytics

Reducing Customer Churn with SAP Predictive Analytics

A/V/E GmbH, a German service provider for utility companies, faced the significant challenge of rising customer churn in the deregulated energy market. To help its clients improve customer retention, A/V/E needed to enhance its own service offerings with predictive capabilities. They turned to SAP and deployed the gisa.Customer Insight application by SAP partner GISA, which is built on SAP Predictive Analytics, the SAP HANA platform, and SAP Business Warehouse.

This SAP-powered solution enabled A/V/E to process both structured and unstructured data to rapidly identify customers with a high risk of terminating their contracts. The application delivers an 80% accuracy rate in predicting churn, performing risk assessments in under three seconds and customer value calculations in less than three minutes. For SAP customer A/V/E, this innovation provided the data-driven foundation to design highly effective, targeted loyalty campaigns for its utility clients.

A/V/E GmbH

Steffen Hefter

Key Account Manager