Blue Yonder's Shelf Ops Agent, launched in May 2025, lets retail merchandise planners describe changes to store shelf layouts using plain English — such as "move the seasonal items to eye level in stores in the Southwest" — and the system automatically updates those layouts across thousands of store locations at once, rather than requiring manual edits store by store.

The Shelf Ops Agent uses a proprietary machine learning model that Blue Yonder calls a "large planogram model," trained to generate store-level shelf layouts based on assortment data and changing demand patterns. Before this tool, updating planograms (the visual diagrams that define where every product sits on a shelf) across large retail chains required labor-intensive manual work or building hundreds of store-specific templates. The agent removes that need by generating localized, optimized layouts at scale from natural-language commands. It was expanded in Blue Yonder's January 2026 NRF release alongside AI-driven Merchandise Financial Planning and Assortment Planning agents. A mobile companion app for Allocation & Replenishment was also introduced at the same time.