Levi Strauss & Co. Launches AI-Powered Conversational Analytics to Transform Business Operations

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Levi Strauss & Co. Launches AI-Powered Conversational Analytics to Transform Business Operations
AIConversational AnalyticsData-Driven Business

Levi Strauss & Co. introduces a conversational analytics platform powered by Google’s Looker and Gemini, enabling employees to access business insights instantly through natural language queries. This innovation is part of the company’s broader data-driven strategy, which has already streamlined operations and empowered over 2,200 employees to build 70+ data products. The system enhances efficiency, reduces reliance on manual processes, and supports LS&Co.’s transformation into a consumer-centric, direct-to-consumer business.

Levi Strauss & Co. (LS&Co.) has unveiled a groundbreaking conversational analytics platform, powered by Google’s Looker and Gemini, designed to revolutionize how employees interact with data.

The system allows staff to ask business questions in natural language and receive secure, accurate, and immediate responses, eliminating the need to navigate complex dashboards or wait for analyst support. Aman Talib, LS&Co.’s head of merchandising planning and inventory management, highlighted the transformation, stating, Two years ago, our analytics environment was fragmented, slow, and reactive. Today, we operate from a single, reliable data foundation that has made our team five times faster at delivering analytics to the business.

Conversational analytics is the next step in that journey. For our planners, they’re no longer stuck digging through dashboards or waiting in analyst queues; their answers are a question away. The platform understands LS&Co.’s unique internal terminology, business context, and data definitions, enabling employees across merchandising, planning, retail operations, and e-commerce to access and act on data instantly. This initiative is part of LS&Co.’s broader strategy to become a data-driven, consumer-centric business.

Since launching its internal data and analytics platform in 2024, over 2,200 employees have actively used it to build more than 70 data products, fostering a unified knowledge base. The Merchandising Planning and Inventory Management (MPIM) team was an early adopter, transitioning from a fragmented system with seven siloed data structures to a streamlined, proactive analytics environment. This shift has significantly improved efficiency, with faster insights and the ability to support business decisions proactively.

The company’s Platform Engineering team emphasized that conversational analytics is not just about infrastructure but about accelerating LS&Co.’s transformation into a world-class, direct-to-consumer business. At a recent conference in Washington, D.C. , CEO Michelle Gass underscored the company’s commitment to leveraging cutting-edge technology, drawing inspiration from its tech-focused Bay Area neighbors.

Additionally, LS&Co. has deployed a version of ChatGPT tailored for store associates, providing instant access to product information and training materials, further enhancing customer service and operational efficiency

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