Case Study: A/V/E GmbH achieves rapid, 80%‑accurate churn prediction with SAP HANA

A/V/E Reducing Customer Churn with SAP® Predictive Analytics

A/V/E GmbH, a professional-services provider for more than 45 German utility companies, was facing rising customer churn after deregulation of the energy market. To expand its offerings and help clients retain customers, A/V/E needed a fast, reliable way to identify which customers were likely to terminate contracts and which factors drove that risk.

A/V/E deployed GISA’s gisa.Customer Insight, built on SAP Predictive Analytics, SAP HANA and SAP Business Warehouse, to turn structured and unstructured data into individual churn scores. The solution predicts contract-termination risk with about 80% accuracy, identifies at‑risk customers in under 3 seconds and assesses customer value in under 3 minutes, enabling targeted loyalty campaigns that have already helped reduce churn for a client.

A/V/E GmbH

Steffen Hefter

Key Account Manager