Dynamic Moments: Weaving LLMs into Deep Personalization at DoorDash

"The idea for DoorDash being your local commerce buddy, basically. Everything that's sold around you, be it restaurants or grocery, convenience, alcohol, flowers, pets, you name it, we can deliver it and you can shop it on the platform."

"When there is abundance, there is the concept of, how do I choose the thing that I really need? How do I find and show you the customer the thing that you need at this very moment?"

"We need to understand every user. We need to understand every item we carry. Also, we need to understand that consumers have affinities towards merchants."

"People's interests and intent shifts very quickly. It's late night, you're watching Netflix, and then you're getting hungry, you want to order something, so the late night snacks, we need to understand the intent in that moment."

DoorDash aims to redefine personalization through hyper-personalization, addressing the challenge of abundance on its platform. With a diverse catalog and millions of users, understanding individual preferences and shifting consumer intent is crucial. The goal is to become a local commerce buddy, facilitating access to various products, including groceries and convenience items. Recognizing dynamic moments, such as late-night cravings or specific needs, is essential for delivering relevant recommendations to users.

Read at InfoQ