DoorDash improves marketplace discovery by using large language models offline to generate semantic IDs, graded relevance labels, and customer memory profiles. This distillation strategy enhances low-latency search retrieval, ranking accuracy, and personalized storefront generation without the cost of serving real-time model queries.