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Publications
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- Faculty Publications (5)
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- August 2021 (Revised October 2024)
- Case
Allbirds: Decarbonizing Fashion (A)
By: Michael W. Toffel, Kenneth P. Pucker and Eren Kuzucu
The Allbirds: Decarbonizing Fashion (A) case introduces Allbirds as a footwear startup not only focused on simple design, comfort, and sustainable natural materials but on decarbonizing the wider fashion industry. Background material highlights the growing... View Details
Keywords: Decarbonization; Climate Impact; Environmental Strategy; Innovation; Product Design; Supply Chain Management; Innovation Strategy; Innovation and Management; Product Development; Climate Change; Environmental Management; Environmental Sustainability; Apparel and Accessories Industry; Fashion Industry; United States; California
- May 2021 (Revised February 2024)
- Teaching Note
THE YES: Reimagining the Future of E-Commerce with Artificial Intelligence (AI)
By: Ayelet Israeli and Jill Avery
THE YES, a multi-brand shopping app launched in May 2020 offered a new type of buying experience for women’s fashion, driven by a sophisticated algorithm that used data science and machine learning to create and deliver a personalized store for every shopper, based on... View Details
Keywords: Data; Data Analytics; Artificial Intelligence; AI; AI Algorithms; AI Creativity; Fashion; Retail; Retail Analytics; E-Commerce Strategy; Platform; Platforms; Big Data; Preference Elicitation; Predictive Analytics; App Development; ＂Marketing Analytics＂; Advertising; Mobile App; Mobile Marketing; Apparel; Online Advertising; Referral Rewards; Referrals; Female Ceo; Female Entrepreneur; Female Protagonist; Analytics and Data Science; Analysis; Creativity; Marketing Strategy; Brands and Branding; Consumer Behavior; Demand and Consumers; Forecasting and Prediction; Marketing Channels; Digital Marketing; Internet and the Web; Mobile and Wireless Technology; AI and Machine Learning; E-commerce; Digital Platforms; Retail Industry; Retail Industry; Retail Industry; Retail Industry; United States
- April 2021
- Case
Buy Online, Pickup in Store: Evaluating an Omnichannel Intervention in Retail
By: Antonio Moreno, Santiago Gallino and Amy Klopfenstein
In October 2018, fashion, wellness, and beauty retailer Sylvarella implemented a Buy Online, Pickup in Store (BOPS) program in an attempt to counteract a sales decline. While BOPS had the potential to meet customer expectations for a seamless order and fulfillment... View Details
- January 2021 (Revised March 2021)
- Case
THE YES: Reimagining the Future of E-Commerce with Artificial Intelligence (AI)
By: Jill Avery, Ayelet Israeli and Emma von Maur
THE YES, a multi-brand shopping app launched in May 2020 offered a new type of buying experience for women’s fashion, driven by a sophisticated algorithm that used data science and machine learning to create and deliver a personalized store for every shopper, based on... View Details
Keywords: Data; Data Analytics; Artificial Intelligence; AI; AI Algorithms; AI Creativity; Fashion; Retail; Retail Analytics; E-Commerce Strategy; Platform; Platforms; Big Data; Preference Elicitation; Preference Prediction; Predictive Analytics; App Development; ＂Marketing Analytics＂; Advertising; Mobile App; Mobile Marketing; Apparel; Online Advertising; Referral Rewards; Referrals; Female Ceo; Female Entrepreneur; Female Protagonist; Analytics and Data Science; Analysis; Creativity; Marketing Strategy; Brands and Branding; Consumer Behavior; Demand and Consumers; Forecasting and Prediction; Marketing Channels; Digital Marketing; Internet and the Web; Mobile and Wireless Technology; AI and Machine Learning; E-commerce; Digital Platforms; Retail Industry; Retail Industry; Retail Industry; Retail Industry; United States
- February 2019
- Case
Miroglio Fashion (A)
By: Sunil Gupta and David Lane
Francesco Cavarero, chief information officer of Miroglio Fashion, Italy’s third-largest retailer of women’s apparel, was trying to bring analytical rigor to the company’s forecasting and inventory management decisions. But fashion is inherently hard to predict. Can... View Details