Which mathematician's work on Bayesian statistics revolutionized retail customer analytics by enabling the prediction of consumer behavior patterns?

In the world of retail, mathematics plays a crucial role in customer analytics. Advanced statistical models and algorithms help businesses understand consumer behavior, optimize inventory, and increase sales. This trivia question explores how a famous mathematician's work revolutionized modern retail analytics techniques. Test your knowledge about the intersection of mathematics and retail innovation!

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Thomas Bayes (1701-1761), whose theorem became fundamental for predictive analytics in retail customer behavior modeling
Leonhard Euler (1707-1783), whose graph theory became the basis for retail customer journey mapping
Carl Friedrich Gauss (1777-1855), whose normal distribution model transformed retail purchase prediction
Alan Turing (1912-1954), whose computational models established the foundation for modern retail analytics algorithms