Which pioneering retail analytics innovation from the early 2000s first used machine learning to predict customer churn with over 70% accuracy, revolutionizing retention strategies?

The world of retail has been transformed by artificial intelligence and predictive analytics, allowing businesses to anticipate customer needs like never before. One groundbreaking innovation changed how retailers approach customer retention by predicting which customers might leave. Test your knowledge about this pivotal development in retail technology that reshaped customer retention strategies worldwide.

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IBM's RetailSense Predictor (2003)
The OMEGA Framework by Stanford researchers (2004)
Amazon's CustomerKeep Algorithm (2002)
Walmart's ShopperStay Protocol (2005)