Which mathematical technique revolutionized retail demand forecasting and was first widely implemented by Walmart in the early 2000s, reducing stockouts by over 30%?

The intersection of mathematics and retail has transformed how businesses operate. Advanced algorithms and statistical models now power inventory management, pricing strategies, and customer behavior predictions. This poll tests your knowledge about a groundbreaking mathematical innovation in retail that changed how businesses forecast demand and optimize their operations. Do you know which mathematical approach revolutionized retail forecasting?

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Bayesian Networks for hierarchical time-series prediction
Monte Carlo simulations for inventory management
Markov Chain models for customer buying patterns
Neural network regression for seasonal demand fluctuations