How DoorDash Built an AI Shopping Assistant That Doesn’t Rely on the LLM Alone
DoorDash improved shopping assistant performance by combining LLMs with specialized agents, persistent memory, and live backend data.
DoorDash's 'Ask DoorDash' assistant architecture moves beyond simple LLM prompting by integrating an intelligence layer with persistent consumer memory and MCP-based tooling. This hybrid approach allows the system to access live backend data, resulting in a 24% increase in checkout conversion and 17% larger basket sizes.