Which data analytics technique is most commonly used by mathematics education retailers to predict seasonal demand for graphing calculators?

In the world of mathematics education and supplies, retail data analytics plays a crucial role in optimizing inventory, predicting seasonal demand, and understanding customer purchasing patterns. Math supply retailers must balance specialized inventory with broad appeal products, while analyzing purchasing trends across educational levels. This trivia question explores how mathematical retailers leverage data analytics to make informed business decisions.

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Time series forecasting with seasonal decomposition
K-means clustering based on customer demographics
Markov chain models of product transitions
Random forest classification of customer reviews