Which mathematical model, developed in the 1960s but gaining widespread retail adoption in the 2010s, uses Bayesian probability to predict consumer purchasing patterns and optimize inventory levels?

Modern retail data analytics relies heavily on mathematical models to drive decision-making and optimize operations. Behind the colorful dashboards and consumer insights are sophisticated algorithms designed to process vast amounts of information. This poll tests your knowledge about a groundbreaking mathematical technique that revolutionized how retailers analyze purchasing patterns and make inventory decisions.

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Monte Carlo Markov Chain (MCMC) simulation
Support Vector Machine (SVM) clustering
Fast Fourier Transform (FFT) analysis
Principal Component Analysis (PCA) decomposition