Grade Google with OpenAI: a Fortune 50 AI stack at Home Depot
VentureBeat ·
Beyond The Pilot Podcast Home Depot cut delivery failure rates from 5.3% to ~2.8% in Chicago using a purpose-built agentic system — and it's protecting 1.5 million at-risk deliveries a year across weather, geospatial, and customer preference signals. Home Depot CIO Angie Brown breaks down exactly how the sixth-largest U.S. e-commerce operation ($25B+ in online sales, 2,300+ stores) built its production AI stack from the ground up. The architecture is a layered agent hierarchy: a thin client planner routes to domain agents (selling, post-purchase, delivery), which hand off to fine-grained sub-agents by category — paint, power tools, configurables. Underneath sits a knowledge foundation built on Google BigQuery, hybrid search, unstructured vector databases, and a data mesh, all wrapped with agent identity management, security guardrails, and safety evals. On the model side, Home Depot runs Google ADK as its primary orchestration layer with Azure OpenAI held as an active counterweight to evaluate output quality — and Claude for code generation with OpenAI models used for code review. The Magic Forge internal platform handles their most compute-intensive workloads. Multi-model tension is a deliberate architectural choice, not an accident. Two production results stand out beyond delivery: a conversational IVR (Google NGA) now live in ~1,000 stores is handling 3x more customer questions without human transfer, and an AI-powered blueprint takeoff workflow for contractors turned quote turnaround from one-plus weeks down to 24–48 hours. Angie also covers where the architecture still has rough edges — deterministic escalation rules being layered back onto the conversational IVR — and what's next: per-SKU assortment optimization and agentic planogram generation across 30–40K SKUs per store. 🎙️ GUEST: Angie Brown | CIO, The Home Depot 🎙️ HOSTS: Matt Marshall | VentureBeat, Sam Witteveen | VentureBeat Subscribe to VentureBeat: YouTube @VentureBeat Apple Podcasts Spotify LinkedIn https://venturebeat.com/newsletters