Levi Strauss building agentic AI employee platform with Microsoft
Levi Strauss & Co. will automate tasks across its enterprise with a new artificial intelligence "super agent."
In partnership with Microsoft, the denim giant has developed an integrated agentic AI orchestration platform built around a single “super-agent” for its corporate employees. The super-agent is built on a complex agentic framework embedded within the Microsoft Teams collaboration platform and running on the Microsoft Azure cloud engine.
The tool integrates several advanced AI-powered sub-agents deployed across corporate departments such as IT, HR and operations to act as an intelligent intermediary to deliver support, insights and automation throughout the business.
"AI represents a tremendous opportunity for us and is a key unlock as we rewire how we work — from our stores to our corporate offices," said Michelle Gass, president & CEO, Levi Strauss & Co. "As we roll out these tools in 2026, our teams will gain faster access to information and insights that help them work more efficiently and ultimately serve our fans better across every channel, every day."
As a result, Levi’s hopes to make complex and repetitive work more efficient and accessible. The companies are currently developing and testing the super-agent with plans for rollout in early 2026 and expansion to global Levi’s offices throughout the year.
"Expanding the impact of AI to different roles and building custom agentic solutions are core to being a frontier firm," said Nick Parker, Microsoft chief business officer and president of worldwide sales and solutions. "We’re proud to work with Levi’s as they integrate AI across their business in ways that elevate both the consumer and employee experience. Their commitment to purposeful innovation is redefining retail excellence."
Levi’s launches mobile AI tools for customers, associates
Levi’s has also introduced two AI solutions that customers and store employees can utilize on mobile devices to streamline their shopping and customer service activities:
Outfitting is an AI-driven tool that recommends tailored looks based on individual consumer preferences, purchase history and current trends. When customers click on a product and scroll down, they will see a "Complete the Look" section with complementary suggestions.
The feature updates daily and incorporates consumer feedback, seasonal considerations and merchandising guidelines from Levi's product teams. Outfitting is live on the Levi's app in the U.S., Canada and top markets across Europe. New features, such as event-specific outfit suggestions as well as a dedicated consumer-facing AI assistant, will be also rolled out in 2026.
Other customer-facing digital commerce solutions Levi’s has developed in the past couple of years include a search tool, high-quality content images, and more videos on product pages designed to create a dynamic online shopping experience and showcase items as they look in real life.
Visitors to the company’s site can also use a new fit quiz tool, which lets shoppers answer a series of questions on fit preferences, returning a number of personalized recommendations.
In addition, Levi’s has added a "shop the look" feature and increased review coverage that the company says helps search engine optimization and has increased purchase intent.
[READ MORE: Levi Strauss generates growth with e-commerce innovation]
For store associates, a new AI feature in the employee mobile app called Stitch provides on-demand access to product information, operational procedures and training materials. Store employees can ask questions about topics such as product details and operational procedures, as well as obtain answers to customer inquiries and obtain curated and personalized advice.
The tool is now being deployed to 60 U.S. stores ahead of the holiday season, with plans for a broader rollout in 2026. It follows Levi’s giving select employees access to Google Cloud data dashboards for permission-based ability to continuously pull together global data to help them better understand of trends with deeper customer insights.
