Which mathematical modeling technique, developed in the 1970s but widely adopted by retail analytics platforms in the 2010s, allows retailers to identify hidden patterns in customer purchase data?

In today's data-driven retail environment, mathematical models power everything from inventory management to customer behavior predictions. Advanced algorithms and statistical methods help retailers make sense of enormous datasets, optimize operations, and gain competitive advantages. This poll tests your knowledge about a groundbreaking mathematical technique that revolutionized retail data analytics and is now considered an industry standard.

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Monte Carlo simulation
Gradient boosting decision trees
Association rule learning (Market Basket Analysis)
Bayesian inference networks