Which retail machine learning implementation holds the Guinness World Record for processing the largest number of customer data points in real-time personalization?

The world of retail has seen some impressive technological advancements and record-breaking achievements in data analytics. Major retailers are constantly pushing boundaries with machine learning implementations that process unprecedented volumes of customer data. Test your knowledge about these retail world records and see if you can identify the most remarkable achievement in retail machine learning!

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Amazon's recommendation engine (processing 2.5 billion data points per hour)
Alibaba's 'City Brain' system during Singles Day (processing 970 million data points per minute)
Walmart's inventory prediction algorithm (processing 1.8 billion data points per hour)
Target's customer pregnancy prediction model (processing 750 million data points per hour)