Agenda

In this talk, we will walk through the problems we solve at Wayfair using machine learning, which impact all aspects of a customer's journey. We will provide insights on how we use ML to understand our customers as well as the products in our catalog. We will also discuss some of the challenges we face in our space and how we are using ML best practices, state of the art foundation models, and data-centric approaches to solve these problems.

One way we help our customers find products is by cleaning and enriching our catalog. We do this by automating image tagging using a data-centric approach. We will provide insights on how we have accomplished this and share our findings.

Finally, we will touch on an important aspect of our approach: the collaboration between subject matter experts (SMEs) and data scientists (DS). By working closely together, we are able to quickly iterate on model development and testing, ultimately leading to a faster time-to-market for the models we develop.