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Rajan Paswan
Stealth • 6m
Insight Discovery! — Amazon In the early 2000s, Amazon's data team noticed a trend: customers frequently purchased certain items together, even if they didn't search for them initially. Amazon realized that understanding these purchase patterns could help them recommend additional products to customers, enhancing the shopping experience and boosting sales. Amazon implemented the "Customers Who Bought This Also Bought" feature, leveraging collaborative filtering to suggest products based on the behavior of other users with similar interests. This feature quickly became a cornerstone of Amazon's user experience. Customers appreciated the personalized suggestions, leading to higher engagement and increased average order values. By analyzing and utilizing customer behavior, Amazon successfully created a powerful recommendation system. This not only improved user satisfaction and convenience but also played a crucial role in Amazon's growth and continued dominance in the e-commerce.
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