Accelerated high-quality strategic thinking with real-time insights
Enabled associates to query governed data conversationally
Reduced integration friction, giving teams more time to build value
Standardized agent logic for consistent, reliable responses
With Gemini Enterprise, Kohl’s is scaling agentic AI to transform enterprise data into decisions, empower associates with governed insights, and provide shoppers with guided discovery.
With Gemini Enterprise, Kohl’s is scaling agentic AI to transform enterprise data into decisions, empower associates with governed insights, and provide shoppers with guided discovery.
Reducing the cost of curiosity
For more than 60 years, leading omnichannel retailer Kohl’s has been serving and celebrating families of all kinds, taking care of them through all the realest moments of everyday life. In today’s fast-moving retail landscape, delivering on that promise means making the right decisions while moving at the speed of the customer — no small task given Kohl’s operates over 1,100 physical stores across the United States and supports millions of shoppers online.
“Standard reporting often gives you better questions, but you have to go somewhere else to get the answers,” says Kyle Luchinski, director of enterprise data platform, analytics, and AI enablement at Kohl’s. “Our goal is to dramatically reduce the cost of curiosity. We want associates to be able to get trusted insights faster, ask better questions, and make more informed decisions across the business.”
To bridge this gap, Kohl’s is using Gemini Enterprise as a front door to AI across its organization. The Kohl’s AI platform enables teams to build custom agents to automate workflows and create more intuitive ways to engage with data across the business.
“At Kohl's scale, the value of getting the right answer multiplies quickly,” Luchinski says. “The ability to put trusted information into more people's hands is a game changer. It means more informed decisions faster and more headspace for being curious and strategic.”
Our goal is to dramatically reduce the cost of curiosity. We want associates to be able to get trusted insights faster, ask better questions, and make more informed decisions across the business.
Kyle Luchinski
Director, Enterprise Data Platform, Analytics, and AI Enablement, Kohl’s
Transforming analysis into action
with conversational AI
Using the Gemini Enterprise Agent Platform, Kohl’s built a custom agent that turns analysis into an active conversation accessible to anyone. With the Gemini Enterprise app acting as a front door, employees can easily interact with the agent to chat with all of Kohl’s governed enterprise data and instantly get back answers. They can simply ask questions in natural language — like how performance compared to last year, which category made the biggest difference, or where they should dig next.
“The ‘aha’ moment for me was realizing this isn't just faster reporting. It's a different way of working,” Luchinski says. “When people can get an answer in real time, then the whole decision cycle changes. You're not just saving analyst time — you're increasing the speed and the quality of the strategic thinking.”
Delivering conversational analytics at this scale relies on accurate, consistent responses. Rather than sifting through raw data, the conversational agent automatically surfaces the right information every time. Using Looker’s trusted semantic layer on top of its data foundation in BigQuery, Kohl’s can define the structure of its data and business logic, providing a clear foundation for AI agents to interpret user intent and map it to the correct, relevant context. With this model, the agent has a deep understanding of Kohl’s business language, metrics, and relationships, ensuring insights are always grounded in governed data.
“The semantic layer gives us a place to define the logic once — what sales means, how joins work, how filters should be applied — and then reuse that consistently,” Luchinski explains. “That's how you avoid a world where two teams ask similar questions and get different answers. It's really the difference between a flashy demo and an enterprise capability.”
By establishing these guardrails, Kohl’s ensures everyone works from a single source of truth, setting the path to scale AI more confidently across the organization.
“People think governance is going to slow you down, but if you build on the right foundation, governance is actually what helps you scale,” Luchinski says.
The semantic layer gives us a place to define the logic once and then reuse that consistently. That's how you avoid a world where two teams ask similar questions and get different answers. It's really the difference between a flashy demo and an enterprise capability.
Kyle Luchinski
Director, Enterprise Data Platform, Analytics, and AI Enablement, Kohl’s
Bringing guided discovery to the digital storefront
Retail moves fast, and for Kohl’s, AI can’t just be flashy — it must be practical and solve real-world problems. By establishing a strong AI foundation, Kohl’s has created a repeatable framework to build, scale, govern, and optimize AI agents that help associates be more effective at their jobs.
Kohl’s is also scaling this momentum directly to the shopper, moving beyond internal operations to elevate customer experiences. A prime example is the Kohl’s Gift Finder for Mother’s Day — a conversational AI agent designed to help customers quickly turn ideas into the perfect choice.
“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,” Luchinski says. “It uses conversational AI to guide customers to the right gift for mom based on her interests, hobbies, and personal style.”
Working with Google Cloud removes a lot of integration friction. When the data foundation, semantic model, and intelligence are all working together, teams can spend more time building value and less time plumbing systems.
Kyle Luchinski
Director, Enterprise Data Platform, Analytics, and AI Enablement, Kohl’s
Gemini’s multimodal capabilities let shoppers interact with Kohl’s catalog in more convenient ways, transforming potentially frustrating searches into intuitive discovery. For example, they can upload an image to find similar items or spark inspiration, and then browse recommendations, view product details, and add items to their cart — without ever leaving the chat.
“By bringing discovery and purchase together, customers can shop frictionlessly and be on their way,” Luchinski adds. “We're excited about what we're going to learn from it, how we can better understand what customers want to engage with, and what they need while they’re shopping in those key moments.”
Overall, Gemini Enterprise's unified agentic architecture is empowering Kohl's to treat AI as a scalable innovation engine, speeding up the journey from concept to customer-facing reality.
“Working with Google Cloud removes a lot of integration friction,” Luchinski says. “When the data foundation, semantic model, and intelligence are all working together, teams can spend more time building value and less time plumbing systems.”
Kohl’s is a leading omnichannel retailer built on a foundation that combines great brands, incredible value and convenience, serving millions of families in its more than 1,100 stores in 49 states, online at Kohls.com, and through the Kohl's App.
Industry: Retail
Location: United States
Products: Gemini Enterprise app, Gemini Enterprise for Customer Experience, Gemini Enterprise Agent Platform, BigQuery, Looker
