Case Study: ServiceMaster gains AI-driven customer loyalty insights and predicts churn with Jedox

A Jedox Case Study

Preview of the ServiceMaster Case Study

ServiceMaster FP&A team runs customer loyalty project with Jedox AI

ServiceMaster (Terminix), a Fortune 1000 provider of home and commercial services, tasked its FP&A team with better predicting customer cancellations and uncovering the drivers of loyalty across more than 2 million customers and complex product, billing and service variables. The challenge was not only to forecast churn but to identify actionable factors and enable branch-level interventions amid massive, disparate datasets.

The team ran a pilot using Jedox’s embedded AI within their existing FP&A hub to assemble data, train models and surface features driving churn. In weeks they gained high-confidence, contract-level predictions and discovered non-obvious drivers (contract value, tenure, product mix, proactive outreach), enabling faster, cross-organizational action plans and plans for controlled branch tests to validate and operationalize the insights.


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ServiceMaster

Kevin Kennedy

Business Systems Manager


Jedox

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