Which mathematical technique revolutionized retail analytics by allowing companies to identify hidden patterns in customer purchase behavior across seemingly unrelated products?

The intersection of mathematics and retail has created powerful analytical tools that drive business decisions. Advanced algorithms analyze customer behavior, optimize inventory, and predict trends with remarkable accuracy. This poll tests your knowledge about how mathematical models have transformed retail analytics and the companies pioneering these approaches. Can you identify the correct mathematical technique behind today's retail success stories?

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Market Basket Analysis using Association Rules
Euclidean Distance Calculation in Customer Segmentation
Monte Carlo Simulation for Inventory Management
Bayesian Networks for Seasonal Demand Forecasting