Personalizing the Consumer Experience At DoorDash

At DoorDash our mission is to empower local economies. As our offerings expand beyond made-to-order food delivery to new product verticals like groceries, convenience, and retail, so do the responsibilities of the machine learning algorithms. Personalization, search, and recommendations for low-in-stock item substitutions all play major roles in the consumer facing experience, enabling and personalizing fast basket building capabilities, delightful discoveries, and fulfilled orders. A foundation on which these algorithms rely on is an accurate product catalog and taxonomy, where we are also apply machine learning methods, often powered by Large Language Models. In this talk, I will present an overview of Machine Learning applications at various points of the consumer journey that enables a seamless personalized experience.