One of the biggest challenges in fashion e-commerce is how to communicate the fit and feel of each product and understand each customer’s emotional context as they shop. With machine-learning technology, it’s possible for any apparel brand – no matter where they are on their personalization journey – to use their product and anonymized customer behavior data to create an in-depth prediction of a customer’s preferences and self-perception.

As retail continues its rapid acceleration toward digital experiences over physical, there is an opportunity for retailers to use product and consumer data to not just personalize the experience but to deeply individualize it. In this webinar you’ll learn:

  • How to go beyond segment-based personalization to deliver individualized experiences
  • Best practices to leverage product and customer behavior data
  • How to create more empathetic customer experiences
  • The benefits of incorporating this type of solution