DoorDash uses GenAI to power personalized homepage carousels, delivering tailored store recommendations for a faster, more intuitive shopping experience.

DoorDash offers insights into food delivery technology, logistics, and customer experience. Developers can delve into DoorDash's engineering blogs, tech talks, and innovation stories to gain a deeper understanding of how technology powers the food delivery industry. By exploring topics such as scaling infrastructure, optimizing delivery routes, and enhancing user experience through innovative technology solutions, developers can use insights to apply to their own projects and industries.

Doordash

DoorDash built a GenAI-powered personalized carousel system for their homepage that generates unique store recommendations for each user. The system uses LLMs to analyze customer profiles and create customized carousel titles with metadata, then retrieves relevant stores using embedding-based search. This replaced their previous 300-carousel heuristic system, addressing issues with concept diversity and relevance. The pipeline includes carousel generation, embedding creation, content moderation using LLM-as-jury, store retrieval via GPU-accelerated KNN search, and ranking that balances engagement with relevance. A/B tests in San Francisco and Manhattan showed double-digit click rate improvements and better conversion rates.

When GenAI Meets Personalization: Powering DoorDash’s next-generation homepage experience