Nordstrom Deploys AI for Sourcing and Spend Visibility
Retailer Nordstrom is utilizing AI to build out its procurement strategy and gain visibility into company spending. This application demonstrates how product organizations are embedding AI to improve foundational business metrics like cost, risk, and agility. The strategy positions the product leader's role as a curator of agentic workflows tied to board-level concerns.
- The initiative is led by Nordstrom's VP and Chief Procurement Officer, Karoline Dygas, as part of a larger strategic shift from a decentralized model—where business units sourced independently—to a centralized procurement organization. - The company is utilizing AI through Suplari's procurement intelligence software, which helps consolidate data from disparate financial systems to analyze supplier spending and identify risks like single-source dependencies. - A primary goal articulated by Dygas is to move beyond AI that simply compiles data to using prescriptive AI that can recommend specific actions and provide the agility needed for procurement's non-linear workflows. - Dygas has emphasized that strong data governance is a critical prerequisite for adopting any AI tool, requiring vendors to prove their technology is secure and protects against "hallucinations," or AI-generated misinformation. - This move reflects a broader industry trend where early adopters of AI in supply chain and procurement are achieving significant results, including 15% lower logistics costs and a 35% reduction in inventory, according to research from Georgetown University. - The strategy's focus on "agentic workflows" points to a system where autonomous AI makes decisions and executes tasks with minimal human input, a departure from traditional automation that merely follows predefined rules. - Beyond procurement, Nordstrom is also expanding its use of AI with partners like NuORDER by Lightspeed to improve merchandise assortment, create AI-driven sales forecasts, and deliver personalized product recommendations.
