Which mathematical algorithm is most commonly used in retail analytics for product recommendation systems that suggest 'customers who bought X also bought Y'?

Modern retail analytics relies heavily on mathematical models to predict consumer behavior, optimize inventory, and enhance sales. Behind those seemingly simple product recommendations lies a complex world of algorithms, statistical models, and predictive analytics. This poll tests your knowledge of how mathematical principles are applied in retail analytics to transform raw data into actionable business intelligence.

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Association Rule Mining (Apriori algorithm)
Linear Regression
Monte Carlo Simulation
Fast Fourier Transform (FFT)