Which scientific approach revolutionized retail personalization algorithms by allowing retailers to predict customer preferences with over 90% accuracy before it became mainstream in 2020?

Scientific advancements have revolutionized how retailers understand customer behavior. From neuroimaging to advanced analytics, retailers now leverage scientific methods to optimize the shopping experience. This trivia challenges your knowledge of cutting-edge scientific applications in retail personalization algorithms that are changing how products are marketed to individual consumers.

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Quantum computing-based preference mapping
Deep neural networks with transfer learning
Blockchain-powered customer tracking systems
Biometric response monitoring via smart devices