Amazon heavily relies on predictive analytics to increase customer satisfaction. It does so through a personalized recommendation system. This recommendation system is a hybrid type that also involves collaborative filtering which is comprehensive in nature. Amazon analyzes the historical purchases of the user to recommend more products. This also comes through the suggestions that are drawn from the other users who use similar products or provide similar ratings.

Amazon has an anticipatory shipping model that uses big data for predicting the products that are most likely to be purchased by its users. It analyzes the pattern of your purchases and sends products to your nearest warehouse which you may utilize in the future.

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