Which mathematical model was first successfully implemented in retail analytics to predict customer purchase patterns across large datasets in the early 2000s?

The intersection of mathematics and retail big data has transformed how businesses make decisions. Advanced algorithms and statistical models now power inventory optimization, customer segmentation, and predictive analytics. This poll tests your knowledge about a pioneering mathematical technique that revolutionized retail data analysis and became a foundation for modern retail analytics platforms.

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Markov Chain Monte Carlo (MCMC) simulations
Convolutional Neural Networks (CNN)
Support Vector Decomposition (SVD)
Quantum Bayesian Networks (QBN)