Which mathematical algorithm revolutionized retail inventory management by solving the 'traveling salesman problem' for warehouse picking optimization?

In the world of retail, mathematical algorithms and computational methods have revolutionized how businesses operate. From inventory optimization to dynamic pricing models, mathematics plays a crucial role in modern retail technology. This poll tests your knowledge about a significant mathematical advancement that transformed point-of-sale systems and retail analytics. Can you identify the correct mathematical innovation?

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Dijkstra's Algorithm - developed in 1959, this path-finding solution reduced warehouse travel time by up to 60% when implemented in early computerized inventory systems
Bayesian Networks - introduced to retail in the 1980s, these probabilistic graphical models were first used for predicting optimal stock locations
Monte Carlo Simulation - adopted by Walmart in 1992, this randomized approach was the first mathematical solution to warehouse navigation
Newton-Raphson Method - pioneered by IBM for retail in 1976, this iterative solution method created the first mathematically optimized picking routes