Which mathematical technique is most commonly used in retail customer analytics to segment consumers into distinct groups based on purchasing behaviors?

In today's retail environment, sophisticated mathematical models drive crucial business decisions. From inventory optimization to customer behavior prediction, mathematics provides the foundation for retail analytics. This poll tests your knowledge about how specific mathematical concepts are applied to extract meaningful insights from customer data, helping retailers make informed strategic decisions in an increasingly competitive marketplace.

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K-means clustering
Linear regression
Markov chains
Fourier transforms