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Week 3 discussion Question 1

Week 3 discussion Question 1

Q Please refer to Chapter 3's Closing Case 1 (Stitch Fix, pg. 138) and answer any ONE of the questions below in your initial thread before Wednesday. Then, before the end of Sunday, make the remaining THREE response posts (interact with at least TWO different classmates by either asking probing question(s), agreeing with their answers, or offering alternative points of view). Either way, your replies must be substantive and through-provoking to earn full credit for your participation. Questions: 1. Why does Stitch Fix employ data scientists when it operates in the fashion apparel market? 2. Which ebusiness model is Stitch Fix using? 3. How do you mail clothes a customer will love without the customer ever getting measured or viewing the inventory? 4. How can you combine a unique set of algorithms and personalization to create a new kind of company? 5. Why are data and customer feedback critical to Stitch Fix's business model?

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In this week’s discussion, we are given the topic Stich Fix to discuss. The question that I chose to explain is question 1 which is Why does Stitch Fix employ data scientists when it operates in the fashion apparel market. The Stich Fix is the most disrupting thing in the fashion retail industry. Delivering high personalized clothing recommendations right to the customers has a lot of risks (Insights, n.d.). The Stich Fix eliminates the need of the subscribers to go out and shop or even let the customer browse for more clothes online. The second is to Leverage data to deliver personalization (Insights, n.d.). The data scientist is used to deliver the personalization on a huge scale. The third reason behind employing a data scientist is the unique combination between data science and Human judgment (Insights, n.d.). While the machines and the employees provide the initial filters ultimately and hold the power to provide the product assortment and the styling algorithm is delivered (Insights, n.d.).