Which mathematical concept is NOT commonly used in modern retail inventory optimization systems?

Modern retail analytics relies heavily on mathematical concepts to optimize inventory, predict trends, and maximize profits. Behind the sophisticated retail analytics platforms are complex algorithms rooted in statistical analysis, machine learning, and mathematical modeling. This trivia question tests your knowledge of how mathematics intersects with retail analytics in today's data-driven marketplace.

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Markov Decision Processes for dynamic inventory allocation
Riemann Zeta Function for seasonal demand forecasting
Monte Carlo simulations for supply chain risk assessment
Bayesian inference for product demand prediction