Which mathematical concept is NOT commonly used in modern retail brand loyalty program algorithms?

Behind every successful retail loyalty program is sophisticated mathematical modeling! These systems use complex algorithms to predict customer behavior, optimize rewards, and maximize lifetime value. How well do you understand the mathematical principles powering the loyalty programs you might use every day? Test your knowledge about the intersection of mathematics and retail brand loyalty!

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Markov Chain Models (for predicting customer purchase sequences and loyalty transitions)
Bayesian Probability (for updating customer preference predictions based on new purchase data)
Gödel's Incompleteness Theorems (for determining optimal reward thresholds)
Cluster Analysis (for segmenting customers based on purchase patterns and loyalty behaviors)