Leading Restaurant & Gift Shop Chain Reduces Lost Sales and Improves Forecast Accuracy by 80% with InventorySmart®

When 80% of your business is seasonal, getting the forecast wrong doesn't just affect a category, but the whole operation.

For many retail and hospitality businesses, allocation still runs on last year's numbers, gut feel, and spreadsheets that can't keep up with the pace of demand. There's no visibility into what's moving through the supply chain, no way to know if a store can absorb what's being sent, and no granular forecast to plan against. The result is stockouts during peak windows, over-allocation in the wrong locations, and planning teams buried in reactive work.

This case study examines how a leading restaurant and gift shop chain moved beyond that model entirely—building a scalable, AI-native inventory process that gave planners real-time visibility, forward-looking forecasts, and the confidence to make better allocation decisions.

Discover what changed, how it was done, and what it meant for revenue, efficiency, and planning accuracy.