New Way Now: Kohl’s turns data analysis into active conversation with Gemini Enterprise

*Featured in this video:* Kyle Luchinski, Director of Enterprise Data Platform, Analytics, and AI Enablement at Kohl’s *Executive summary:* Kohl’s, a leading omnichannel retailer, is transforming enterprise data into faster decisions with Google Cloud. Using Gemini Enterprise as the front door to data and AI, Kohl’s enables teams to build custom agents like its Conversational Analytics agent, which lets associates chat with its BigQuery data foundation to get instant, trusted insights. Looker’s semantic layer ensures agents understand Kohl’s unique business language and context, grounding responses in governed, consistently defined data every time. This unified agentic architecture is helping Kohl’s set a path to scale AI more confidently across its business, like the Gift Finder for Mother’s Day — a gifting agent that provides shoppers with conversational, guided discovery. *Challenge:* In the fast-moving retail landscape, Kohl’s needs to make informed decisions at the speed of the customer. Kohl’s wanted to use AI to reduce the cost of curiosity, making insights easier to access while ensuring every experience remained governed and scalable. *Solution:* Using the Gemini Enterprise Agent Platform, Kohl’s built a custom agent on top of its BigQuery data platform. With the Gemini Enterprise app acting as a “front door,” associates will be able to use the agent to ask questions in natural language and get back answers instantly. Looker’s semantic layer allows Kohl’s to define its data structure and business logic, ensuring the agent can accurately interpret enterprise user intent and deliver relevant, consistent, and reliable answers every time — all grounded in governed data. Kohl’s is also scaling this momentum directly to the shopper, moving beyond internal operations to elevate customer experiences. Using Gemini Enterprise for Customer Experience, the retailer is creating innovations like the Gift Finder for Mother’s Day — a gifting agent that provides shoppers with conversational, guided discovery. *Results:* With Gemini Enterprise, Kohl’s has created a repeatable framework to build, scale, govern, and optimize AI agents. This unified agentic architecture is helping set a path to scale AI more confidently across the business, delivering faster decisions and giving teams more time to spend on building value to serve and support millions of families. *Key takeaways and highlights from our interview with Kyle Luchinski, Director of Enterprise Data Platform, Analytics, and AI Enablement at Kohl’s:* → “We built a custom agent on top of Gemini Enterprise Agent Platform that enables people to actually speak conversationally to our governed data. So, they can write a natural language question, and then the agent will bring them back reliable data every time. It turns analysis into active conversation. It becomes the front door to data at Kohl’s.” → “We have all of our enterprise data housed in BigQuery. On top of that, we have Looker. That's really the secret sauce that helps bring the agents the context they need in order to repeatedly bring governed data back to the user. On top of that, we have Gemini Enterprise where our users are interacting with the agents we build in Agent Platform.” → “The semantic layer is what makes this whole thing work. You define the logic once. What sales mean, how do joins work, and then reuse that logic consistently. That's how you avoid a world where two teams ask a similar question, and they come back with different answers. It's really the difference between a flashy demo and an enterprise capability.” → “We're using Gemini Enterprise for Customer Experience to build an AI-powered gifting agent that makes Mother's Day shopping more intuitive and personalized. It uses conversational AI to guide customers to the right gift for mom based on her interests, hobbies, and personal style.” *Google Cloud products used:* Gemini Enterprise app, Gemini Enterprise Agent Platform, Gemini Enterprise for Customer Experience, BigQuery, Looker *Learn more:* → Supporting Smarter Shopping and Faster Decisions with AI at Kohl’s https://corporate.kohls.com/news/supporting-smarter-shopping-and-faster-decisions-with-ai-at-kohls