Which scientific advancement has been most revolutionary for retail data analytics by enabling real-time analysis of in-store customer behavior patterns?

Modern science has transformed how retailers collect and analyze consumer data. Advanced analytics tools now allow companies to understand customer behavior at unprecedented levels, from tracking eye movements in stores to analyzing neurological responses to product placement. This poll tests your knowledge about how scientific innovations have revolutionized retail data analytics in ways that weren't possible just a decade ago.

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Computer vision with AI algorithms that can track movement patterns, dwell time, and product interactions without requiring customer opt-in
Quantum computing that allows retailers to process customer genome sequencing to predict product preferences
Atmospheric sensors that detect customer pheromone changes when interacting with different product categories
Gravitational wave detectors that measure minute shifts in store foundation to track customer foot traffic patterns