Which mathematical model is widely considered the cornerstone of modern retail churn prediction systems that revolutionized how companies identify at-risk customers?

Modern retailers leverage sophisticated mathematical models to predict consumer behavior and optimize operations. From inventory management to personalized recommendations, mathematics forms the backbone of retail data analytics. This poll tests your knowledge about a specific mathematical technique that revolutionized retail churn prediction and customer retention strategies in the digital era.

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Logistic Regression with L1 Regularization (LASSO)
Monte Carlo Simulations
Fast Fourier Transform (FFT)
Markov Chain Optimization