Which mathematical concept is most commonly used in retail analytics to identify product purchase patterns that occur together (like bread and butter)?

In the intersection of mathematics and retail analytics lies a fascinating world where algorithms drive business decisions. Modern retail mathematics uses sophisticated models to optimize everything from inventory to customer behavior prediction. This poll tests your knowledge about how mathematical concepts are specifically applied in retail analytics to create product strategies that maximize sales and customer engagement.

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Association Rule Mining with Apriori algorithm
Markov Chain Monte Carlo simulations
Eigenvalue decomposition of customer matrices
Fourier Transform analysis of purchasing frequencies