Which pioneering retail analytics technique, developed using scientific principles, first enabled retailers to accurately predict pregnancy in customers before they had announced it publicly?

In today's data-driven retail environment, scientific approaches to analyzing consumer behavior have revolutionized how companies make decisions. Advanced algorithms process millions of data points to predict trends, optimize inventory, and personalize experiences. This trivia question explores a groundbreaking analytical technique that changed how retailers understand their customers through scientific methods.

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Target's Pregnancy Prediction Score, which analyzed purchase patterns of about 25 products to assign customers a probability of pregnancy
Amazon's Expectancy Algorithm, which tracked changes in browsing time and cart abandonment rates
Walmart's Family Forecast Model, which used loyalty card data to detect shifts in dietary purchases
CVS Health's Trimester Tracking System, which analyzed timing between vitamin and medication purchases