Which mathematical retail innovation first allowed for personalized learning paths in digital math education products based on real-time performance analytics?

The intersection of mathematics and retail has transformed how products are developed, marketed, and sold. From inventory optimization algorithms to predictive analytics for customer behavior, mathematical models drive modern retail decision-making. This poll tests your knowledge about how mathematical innovations have specifically revolutionized educational product development and marketing in the mathematics learning space.

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Bayesian Knowledge Tracing (BKT) algorithms implemented in Carnegie Learning's adaptive math software (2001)
Simple linear regression models in early calculator-based learning systems (1995)
Machine learning clustering in Khan Academy's first platform iteration (2008)
Neural network implementations in Texas Instruments' educational products (1999)