How do you build an #AI shopping assistant that goes beyond the #LLM?

DoorDash's "Ask DoorDash" combines LLMs, specialized agents, persistent memory, and a shared Model Context Protocol (MCP) layer.

The results: roughly 24% higher grocery checkout conversion in early production tests, while an automated evaluation framework running 2,000+ checks daily cut regression testing from 6 hours to 20 minutes.

Learn more 👉 https://bit.ly/4f6dSFJ

#AIAgents #MCP #RAG #SoftwareArchitecture #Microservices #InfoQ