Case Study: Euskaltel achieves increased revenue, reduced churn and scalable AI for nationwide expansion with DataRobot AI Cloud

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Preview of the Euskaltel Case Study

Euskaltel Attracts, Keeps Customers with AI-Powered Offers

Euskaltel, a leading regional telecommunications group in Spain, faced the challenge of scaling AI as it launched a nationwide expansion: it needed to attract and retain customers, reduce payment defaults, and move beyond time-consuming, code-heavy analytics. To meet these needs, Euskaltel adopted DataRobot’s platform, principally DataRobot AI Cloud (including AutoML and MLOps), to operationalize machine learning across the business.

Using DataRobot AI Cloud—leveraging features like Optimizer, Decision Intelligence Flows, and DataRobot University—Euskaltel automated offer optimization, next-best-action decisions, and pricing discounts, and extended AI services to B2B customers. The DataRobot solution let the team deploy multiple projects in parallel and get models into production in seconds, producing measurable results within a quarter: increased revenue, reduced churn and payment defaults, more marketing initiatives without adding staff, and a clear competitive edge for its nationwide expansion.


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Euskaltel

Nacho Vilaplana

Lead Data Scientist


DataRobot

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