Which mathematical algorithm forms the foundation of most retail churn prediction models that identify customers likely to stop purchasing?

Artificial Intelligence is revolutionizing how retailers predict customer behavior and optimize operations. Behind these AI systems are sophisticated mathematical algorithms and statistical models that transform raw data into actionable insights. This poll tests your knowledge of the specific mathematical foundations that power retail AI prediction systems. Do you understand the algorithms that are changing the face of modern retail?

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Logistic Regression - analyzing binary outcomes (churn/no churn) based on customer variables
Fourier Transforms - converting time-based purchase patterns into frequency domains
Euler's Method - approximating solutions to differential equations of spending trajectories
Simplex Algorithm - optimizing linear constraints to determine minimal customer retention costs