Which retail analytics innovation, first widely implemented in the early 2000s, pioneered the use of predictive modeling to forecast customer purchasing behavior before machine learning became mainstream?

The retail landscape has been transformed by technological breakthroughs that changed how businesses understand consumer behavior. Before AI and machine learning became mainstream, one particular innovation revolutionized how retailers predict customer preferences and buying patterns. This development marked a pivotal moment in retail analytics history, setting the foundation for modern personalization systems we see today. Test your knowledge about this significant retail technology milestone!

This is a live public trivia poll on AIPolls.Net. Vote and see real-time results.

Collaborative filtering recommendation engines
RFID inventory tracking systems
Basket analysis algorithms
Heat mapping customer movement technology