Which scientific methodology has most dramatically improved retail inventory forecasting accuracy in the past decade?

The intersection of science and retail has transformed how companies forecast inventory needs. Advanced predictive analytics now allow retailers to anticipate consumer demands with remarkable precision. This trivia question explores how modern scientific approaches have revolutionized retail inventory management, reducing waste while ensuring product availability. Test your knowledge about this fascinating application of data science in the retail sector!

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Machine learning algorithms that analyze historical sales patterns, seasonal trends, and external factors like weather and local events
Quantum computing systems that simultaneously calculate all possible inventory scenarios
DNA-based tracking systems that uniquely identify each product in the supply chain
Neurological consumer scanning that directly measures shoppers' subconscious product desires