eBay is already using machine learning capabilities to enhance your experience on the site, have you noticed?
Rent the Runway aspires to be a “closet in the cloud,” and it is using data to make it happen.
Glossier engages its customers on numerous platforms, each providing this beauty brand with a wealth of data. Glossier is feeding this data into machine learning algorithms to better direct the customer down a purchasing path and to automate the crowdsourcing of product development.
In an effort to come back from its multi-year slump, H&M is turning to machine-learning. Is machine-learning the answer to H&M’s problems and is it too late?
How will Etsy use machine learning to retain customers in a sea of mass produced products?
Stitch Fix uses machine learning to help you answer that age old question of what to wear
Solving the billion dollar unsold inventory problem in traditional retail
Visual Search is changing the way people shop online and is becoming a must-have tool for a business online. Why?
In 2018 Kapsula, online fashion marketplace, in collaboration with pickup.fashion introduced AI-stylist, which helps customers to generate complete looks within seconds depending on weather, color palette preference, and occasion.
Advances in machine learning (ML) are tilting the playing field in consumer retail. On the one hand, tech-savvy pioneers like Amazon and Glossier are leveraging ML to captivate Millennials and Gen Z consumers with ever more engaging and personalized online shopping experiences. On the other, traditional retail brands, especially luxury labels, hesitate to embrace ecommerce for fear of losing their exclusive, white-glove service experiences delivered through the brick-and-mortar channel. Using Burberry as a case study, this article discusses why luxury retail brands must develop a robust ecommerce strategy to stay relevant, and how leveraging ML can help them win over online shoppers without diluting brand equity.