With more than 2,000 SKUs across 143 stores, the company operates at a scale where even strong teams benefit from better prioritization. Merchandising leaders already had access to robust sales and inventory data, but translating that data into a clear, daily set of actions required time and coordination across reports. As assortments evolve and demand shifts quickly, leadership saw an opportunity to enhance decision speed, ensuring that high performers are protected, emerging trends are captured early, and slower-moving inventory is addressed proactively, all without changing systems or expanding headcount.
Unframe deployed an AI-powered inventory intelligence solution that connects securely (read-only) to the company’s existing MS SQL environment, continuously analyzing daily sales, inventory, and pending purchase orders. Each morning, the platform delivers a concise, prioritized brief highlighting the SKUs that warrant attention, whether protecting high-performing products, capitalizing on emerging momentum, or optimizing aging inventory. Recommendations are shaped by business rules and budget guardrails, with clear rationale to support planner judgment. Through a natural-language interface, including Spanish-language queries, teams can ask direct questions about performance, lifecycle patterns, or store-level dynamics and receive traceable answers with supporting tables and visuals. The solution operates alongside existing ERP systems, strengthening visibility and decision speed.