Which major retail innovation was the first to use machine learning algorithms to successfully predict customer purchasing patterns before items were even placed in shopping carts?

In the rapidly evolving landscape of retail technology, artificial intelligence has transformed how businesses understand customer behavior and preferences. One breakthrough innovation in particular marked a significant turning point for the industry, allowing retailers to make smarter inventory decisions and personalize shopping experiences like never before. Test your knowledge about this pivotal moment in retail machine learning history!

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Amazon's Anticipatory Shipping Patent (2013), which predicted orders and pre-shipped items before customers purchased them
Walmart's Store Optimization System (2010), which analyzed foot traffic patterns to redesign store layouts
Target's Pregnancy Prediction Score (2012), which identified expectant mothers through purchase history
IBM's Smart Shopping Assistant (2015), which created personalized shopping lists based on household consumption patterns