Which mathematical technique has been most revolutionary for real-time dynamic pricing algorithms during Black Friday and other major shopping festivals?

Modern retail relies heavily on mathematical models during major shopping festivals like Black Friday. Retailers deploy sophisticated algorithms to optimize pricing strategies, predict demand surges, and manage inventory in real-time. This poll tests your knowledge of how advanced mathematics is applied in retail analytics during high-volume shopping events. Can you identify which mathematical approach revolutionized dynamic pricing during peak shopping festivals?

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Bayesian inference models that continuously update price elasticity based on minute-by-minute purchase data
Linear regression models that forecast demand based on historical pricing data from previous years
Monte Carlo simulations that randomize pricing strategies across different product categories
Fibonacci sequence models that incrementally adjust prices according to golden ratio proportions