Which algorithmic breakthrough significantly improved churn prediction accuracy in scientific product retail during the 2010s, reducing customer attrition by over 35%?

Predictive analytics has transformed how scientific retail companies forecast consumer behavior and product demand. Advanced algorithms now power decisions that were once based on intuition. This poll tests your knowledge about a groundbreaking development in retail churn prediction that changed how science-based retailers retain customers. Can you identify the pioneering technology that revolutionized customer retention in scientific product retail?

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Gradient Boosting Machines with temporal sequence analysis
Simple Bayesian inference models with demographic clustering
Basic regression analysis with purchase history variables
Random Forest algorithms without feature engineering