How does one of America’s largest retailers uncover millions in unfulfilled demand without SQL, dashboards, or manual reports? In this exclusive case study, discover how Kroger used Lumi AI’s conversational analytics to identify vendor exceptions representing millions of units of unfulfilled demand in minutes instead of days.

You’ll learn how Kroger’s supply planning team leverages plain-language prompts to:

• Pinpoint high-impact fulfilment gaps in real time
• Eliminate manual analysis and reporting backlogs
• Drive faster, data-backed decisions across the network

If you’re looking to make faster, data-driven decisions that optimize your supply chain operations, this case study shows how leading retailers are doing it with Lumi AI.