Which mathematical model revolutionized retail pricing strategy in the 1990s by enabling more accurate prediction of how sales volume changes in response to price adjustments?

The intersection of mathematics and retail has transformed how companies understand consumer behavior. In the 1980s, retailers began adopting sophisticated mathematical models to analyze price sensitivity, but one particular innovation in the 1990s revolutionized how retailers could predict customer responses to price changes with unprecedented accuracy. This mathematical breakthrough has shaped modern retail pricing strategies and remains fundamental to retail analytics software today.

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Bayesian Networks for Demand Forecasting
Multi-variable Logistic Regression Models
Dynamic Price Elasticity Modeling
Monte Carlo Inventory Simulation