Predicting Consumer Tastes With Big Data at Gap

Predicting Consumer Tastes With Big Data at Gap

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Question-1: How can Gap Inc. capture value by practising various marketing analytics we learned in this subject? Assess the common pitfalls of such analytics applications in marketing?

Question-2: Discuss the nature of algorithmic bias with examples in fashion retailing? What are the causes of such biases? How to address these biases?

Question-3: Predictive analytics relies on the assumption that consumer preferences rationally guide purchase behaviour and are stable across time. Examine the factors that influence the stability of consumer preferences in fashion products?




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