Which machine learning technique has most revolutionized inventory management for astronomy retailers by predicting demand surges around specific celestial events?

The astronomy retail sector has evolved dramatically with advanced data analytics transforming how telescopes, observational equipment, and astronomical software are marketed and sold. This trivia question explores how machine learning specifically revolutionized inventory management for astronomy retailers facing unique seasonal demand patterns tied to celestial events.

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Time series forecasting with seasonal decomposition models that incorporate astronomical calendars
Simple regression analysis based on previous years' sales data
Reinforcement learning systems that optimize for maximum profit margins
Convolutional neural networks analyzing social media imagery trends