Which mathematical approach is MOST commonly used in modern retail inventory optimization systems to account for demand uncertainty?

Advanced mathematical algorithms are transforming retail inventory management. Modern systems use complex equations and statistical models to predict optimal stock levels, analyze consumer behavior patterns, and minimize waste. Test your knowledge about how mathematics is being applied to create cutting-edge retail inventory solutions that balance supply with demand.

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Stochastic programming models that incorporate probability distributions of demand
Simple linear regression forecasting with fixed safety stock levels
Fractional calculus to model continuous inventory depletion rates
Pure Bayesian inference networks without machine learning components