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

DoorDash has developed a conversational shopping assistant that integrates large language models with specialized agents and real-time backend data to provide personalized recommendations. By incorporating a memory layer and specific internal tools, the company reported a 24 percent increase in checkout conversion rates. This architecture reflects a broader trend of companies moving beyond standalone chatbots toward integrated AI systems that execute tasks using proprietary operational data.