Which mathematical innovation is credited with revolutionizing retail inventory management and is considered the foundation of modern supply chain optimization?

The retail industry has been revolutionized by mathematical innovations that optimize operations and enhance customer experience. From inventory management algorithms to predictive analytics, mathematics plays a crucial role in modern retail success. This poll tests your knowledge about a groundbreaking mathematical retail innovation that changed how stores manage their business. Do you know which mathematical model truly disrupted traditional retail operations?

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Economic Order Quantity (EOQ) model, developed by Ford W. Harris in 1913, which mathematically determines the optimal order quantity to minimize total inventory costs
Bayesian Preference Mapping, developed by IBM in 1972, which uses conditional probability to predict customer buying patterns based on previous purchases
The Fibonacci Retail Model, pioneered by Walmart in 1985, which applies the Fibonacci sequence to determine optimal product placement on store shelves
Markov Chain Retail Analytics, created by Amazon in 1998, which applies stochastic processes to predict and influence consumer decision-making in real-time