Which mathematical technique is primarily used in retail analytics to predict future sales based on historical data and seasonal patterns?

Modern retail analytics relies heavily on mathematical models and algorithms to extract meaningful insights from vast amounts of data. From inventory optimization to customer behavior prediction, mathematics plays a crucial role in helping retailers make data-driven decisions. This poll tests your knowledge about the specific mathematical techniques employed in retail analytics platforms that have revolutionized the industry.

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Time Series Analysis with ARIMA (Autoregressive Integrated Moving Average) models
Euclidean Geometry with Pythagorean transformations
Differential Calculus with Laplace operators
Symbolic Logic with Boolean minimization