Reducing customer churn requires more than prediction—it demands coordinated, real-time action. In this session, you’ll see how an end‑to‑end decision flow combines predictive models, eligibility logic, and offer optimization to identify at‑risk customers and deliver targeted retention strategies. The demo also highlights how external APIs and LLMs can be integrated to generate personalized outreach, such as dynamic email content, directly within the decisioning process. The result is a scalable, governed approach to turning analytics into measurable customer retention outcomes.
Presenter: David Wiehle, SAS
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