Which mathematical modeling technique has most dramatically improved product assortment optimization in retail mathematics over the past decade?

Data analytics has transformed how mathematics is applied in retail environments. Mathematical models now power everything from inventory optimization to customer behavior prediction. This poll tests your knowledge about a specific mathematical technique that revolutionized retail analytics and product management in recent years. Can you identify which mathematical approach has been most influential in modern retail data analysis?

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Tensor factorization models for multi-dimensional customer preference analysis
Linear regression with Bayesian priors for seasonal demand forecasting
Markov chain Monte Carlo simulations for inventory management
Reinforcement learning with Thompson sampling for pricing optimization