Analyze the following case carefully and answer the questions that follow:
You’re on Amazon, and it knows precisely what you want before you do. It’s like having a mind reading shopping assistant. Amazon uses data to forecast what products will be super popular. This means they always have the stuff you want ready to ship. Fast delivery, great prices, and a wide selection, that’s the Amazon promise.
When Amazon suggests products you might like, it’s not a coincidence. They’ve studied your past purchases and browsing history. Their recommendations make shopping more accessible and more enjoyable. It’s as if Amazon is saying, “Hey, we found these cool things that you’ll love!”
Questions:
a. How does Amazon use Business Intelligence to predict product demand?
b. What types of data are involved, and how do these recommendations influence buying behavior on Amazon?
c. How do features like personalized suggestions and fast delivery contribute to customer loyalty?
d. What potential challenges or ethical issues (such as data privacy or over personalization) might arise from collecting and analyzing customer data?
