Which retail analytics innovation first enabled widespread prediction of customer purchase patterns based on seemingly unrelated prior purchases?

In today's data-driven retail landscape, analytics has transformed from simple sales tracking to sophisticated predictive modeling. Modern retailers leverage vast amounts of data to understand customer behavior, optimize inventory, and personalize experiences. How well do you understand the technological milestones that have shaped retail analytics? Test your knowledge about a groundbreaking advancement that changed how retailers make decisions.

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Target's pregnancy prediction model (2002) that could predict customer pregnancies based on purchase patterns before many women had announced their pregnancies
Walmart's weather-based inventory system (1997) that predicted regional purchase trends based on forecasted weather patterns
Amazon's collaborative filtering recommendation engine (2003) that analyzed group behaviors to predict individual interests
Kroger's loyalty program analytics (2005) that connected household demographic data with purchase patterns to predict future buying behavior