Stitch Fix delivers personalized styling at scale through a combination of machine-learning algorithms and human input. As they continue to scale into new markets and new business lines, what is the right balance of machine vs. human input?
ZOZO, Japan’s dominant online retailer of apparel and related lifestyle products, with approximately $1B in sales and $7B in market capitalization, has taken on a journey to recreate the world of apparel to the next level. [1] It aims to do so in two steps: 1) enable mass customization of private-labeled apparel products, and 2) quantify all aspects of what makes styles “cool” to become the global leader in product design. Will ZOZO be able to drive the industry in offering customized yet stylish product for the mass? What capabilities will differentiate who will win in the long haul?
Over the last several decades, apparel retailers have struggled with the complexities of increasingly varied product assortments and changes in long established seasonal shopping patterns. As retailers implement new strategies to stay ahead of the demand for an omnichannel shopping […]
Adidas is investing heavily in additive manufacturing, partnering with Silicon Valley's Carbon Inc to one day produce 50 million pairs of 3D printed shoes per year.
Stitch Fix uses machine learning to help you answer that age old question of what to wear
Luxury retail brand Burberry is one of the machine learning pioneers within the luxury goods industry. Burberry intensively uses machine learning algorithms to improve customer service, to fight counterfeit products and to offer personalized shopping experience to the customers.
