Which scientific retail analytics innovation first enabled large-scale personalized product recommendations, transforming how online retailers segment their markets?

The intersection of science and retail has created revolutionary changes in how products are developed, marketed, and sold. Scientific innovations have transformed consumer experiences, from advanced materials in clothing to AI-driven shopping recommendations. This trivia question explores a pivotal moment when scientific advancement fundamentally altered the retail landscape, creating new opportunities for businesses that embraced data-driven decision making.

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Collaborative filtering algorithms developed in the late 1990s that analyzed purchase patterns across customer groups
Facial recognition systems that tracked customer emotions while browsing store shelves
RFID tagging systems that monitored in-store customer movements in real-time
Virtual reality shopping experiences that created digital twins of physical retail environments