Case Study: How Levi Strauss & Co. is Revolutionizing Its Supply Chain with AI

Levi Strauss & Co. (LS&Co.), renowned for its iconic denim jeans, has integrated artificial intelligence (AI) into its supply chain to streamline fabric procurement and enhance operational efficiency. By partnering with o9 Solutions, an AI-powered supply chain planning and analytics provider, LS&Co. aims to revolutionize its supply chain processes, improve transparency, and optimize resource utilization. This initiative reflects LS&Co.’s commitment to leveraging advanced technologies to maintain its competitive edge and ensure sustainable growth.

Key Takeaways

  • The implementation of AI has significantly reduced lead times and improved real-time data visibility across LS&Co.’s supply chain.
  • LS&Co. has achieved notable reductions in material liabilities and optimized its supply chain network, resulting in substantial cost and time benefits.
  • AI-driven innovations have contributed to more sustainable manufacturing practices, particularly in reducing the environmental impact of denim production.


Levi Strauss & Co. collaborated with o9 Solutions to create an enterprise planning system leveraging AI for better supply chain management. This partnership aimed to design a system that could assign orders quickly, reducing lead times and ensuring efficient resource allocation. The project involved developing a new data infrastructure to support real-time data visibility, which LS&Co. described as an open marketplace providing a live view of its supply chain. This infrastructure allows LS&Co. to see which suppliers have the necessary materials on hand, facilitating rapid and informed decision-making.


The implementation process began with LS&Co. teaming up with o9 Solutions to design and implement an AI-powered supply chain planning system. LS&Co.’s IT team played a crucial role in creating a robust data infrastructure that supports real-time visibility and communication across the supply chain. Initially, three system modules were launched—Tops/Bottoms Agility Modeling, Raw Materials Planning, and MRP-driven Agility—with plans to introduce five more modules. This new system enables LS&Co. to match supply to demand in real time, down to the component level, and simplifies the reorder process.


The integration of AI into LS&Co.’s supply chain has delivered significant results. The ability to assign orders quickly has substantially reduced lead times. Improved processes have led to considerable cost savings and better margin protection. The technology has also helped reduce liabilities related to both fabric and sundries. Enhanced transparency and real-time data visibility have optimized LS&Co.’s entire supply chain network, leading to more efficient operations and strategic benefits.

Challenges and Barriers

Implementing AI in the supply chain presented several challenges. Developing a seamless data infrastructure to support real-time visibility was complex and required significant IT efforts. Additionally, shifting to an AI-driven system necessitated a cultural and operational shift within the company. Ensuring that all suppliers were on board and capable of interacting with the new system required extensive coordination and collaboration. Despite these challenges, LS&Co. successfully navigated the implementation process, paving the way for future advancements.

Future Outlook

Looking ahead, LS&Co. plans to expand the platform by adding more suppliers and rolling out the system’s capabilities more widely throughout the supply chain. The company aims to continue leveraging AI to further enhance supply chain efficiency, sustainability, and customer experience. Future innovations may include more advanced predictive analytics to anticipate market trends and consumer preferences, driving continuous improvement in both operational and strategic initiatives.

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