Rehan Saleem

Most e-commerce teams treat personalization as a checkbox: "we use AI to recommend products." This talk is about what happens when you take that further — treating discovery as a system of behavioral signals applied across every surface of the shopping journey.

I'll walk through two things we've actually shipped: how we rebuilt search ranking in partnership with data science to turn it from a relevance feature into a measurable business lever, and how we built a matching and ranking system that automates homefeed curation based on customer behavior — moving from static merchandising to a feed that inspires discovery, not just relevance.

Attendees will leave with a practical framework for treating personalization as a portfolio of bets across surfaces rather than a single feature, a real example of what cross-functional collaboration with data science looks like in practice, and concrete lessons on what moved the needle versus what didn't.