Omni Talk Retail Home Depot CIO On New Google AI Partnership & Why She's Not Waiting On Agentic Commerce | NRF 2026
In this Omni Talk Retail episode, recorded live from NRF 2026 in the Vusion Podcast studio, Angie Brown, Chief Information Officer at Home Depot, reveals how 27 years with one company positions her to witness retail's transformation from mobile to e-commerce to AI and why waiting on agentic commerce is not an option.
From announcing an expanded Google partnership with Gemini rollout to piloting Magic Apron agents in physical stores, Angie breaks down how AI is solving problems Home Depot couldn't tackle before. She shares insights on accelerating software development cycles, why five-year plans no longer work, delivery routing intelligence that accounts for gates and narrow roads, and the strategic bet on learning agentic commerce across multiple partner platforms simultaneously.
If you've wondered what purposeful AI deployment looks like at retail scale, this is your roadmap from one of home improvement's top technology leaders.
π Topics covered:
-27-year journey at Home Depot: from entry-level developer to CIO
-Why "five-year plans don't work anymore" in retail technology
-Google partnership expansion: Gemini, Magic Apron, delivery routing intelligence
-AI's impact on software development: ideation to implementation speed gains
-Magic Apron evolution: from website tool to in-store pilot agent
-Agentic commerce strategy: learning on Home Depot properties AND discovery platforms
-Call center AI extending to store-level phone experiences
-Delivery routing using AI to predict gates, narrow roads, and success likelihood
-Pro customer focus: digital project lists powered by generative AI
-Why this is "not a time to sit back and wait" on agentic commerce
π§ Don't forget to like, comment, and subscribe for more retail tech insights!
#homedepot #retailai #agenticcommerce #googlegemini #retailtech #omnitalk #retailinnovation #magicapron #retailleadership #airetail #procustomer #retailpodcast
This podcast uses the following third-party services for analysis:
Podcorn - https://podcorn.com/privacy