Case Study: Coyote achieves predictive road safety and improved customer retention with Dataiku

Coyote From Churn Analysis to Predictive Safety

Coyote, the European leader in real-time road information, needed to turn vast, heterogeneous IoT, GPS and CRM data into actionable insights — first to improve customer retention and then to enhance predictive road safety. To prove ROI quickly and centralize data prep and modeling across the organization, Coyote partnered with Dataiku and its centralized data science platform.

Dataiku delivered an end-to-end solution for connecting and cleaning data, feature engineering, model building and deployment. Using Dataiku, Coyote’s initial churn-prediction project improved outbound campaign efficiency by 11%, and the team later deployed predictive-safety models (identifying dangerous S‑curves, recommending dynamic speed limits, and publishing a hazardous-curve database); Dataiku also reduced feature-engineering time and enabled continuous optimization to improve driver assistance and road safety.

Coyote

Florian Servaux

Smart Data Team Leader