Which mathematical concept is most commonly used in retail visual merchandising to determine the optimal 'eye level' product placement for maximizing sales?

Retail analytics increasingly relies on sophisticated mathematical models to optimize store performance. Visual merchandising - the art and science of product presentation - has evolved from intuitive arrangements to data-driven strategies. Behind appealing store layouts lie complex algorithms and statistical analyses that maximize customer engagement and sales. Test your knowledge about the mathematical principles behind effective visual merchandising in modern retail environments.

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Gaussian distribution (normal distribution) analysis of customer eye movement patterns
Fibonacci sequence for creating aesthetically pleasing product spirals
Bayesian probability models for predicting customer attention spans
Markov chain algorithms for tracking customer movement patterns