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How DoorDash Built an AI Shopping Assistant That Doesn’t Rely on the LLM Alone

Leela Kumili 2026年07月13日 22:08 0 次阅读来源：InfoQ

DoorDash details the architecture behind Ask DoorDash, its AI-powered conversational shopping assistant, combining LLMs, specialized AI agents, MCP-based tooling, and an intelligence layer with persistent consumer memory and live backend data. Early results show up to 24% higher checkout conversion, 17% larger baskets, and improved intent accuracy using memory-backed sessions. By Leela Kumili

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# Memory # Platform Engineering # Model Context Protocol (MCP) # Retrieval-Augmented Generation # Distributed Systems

How DoorDash Built an AI Shopping Assistant That Doesn’t Rely on the LLM Alone

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