Blog
Insights for more profit in hospitality.
Practical insights on AI, menu engineering, and profit optimization – straight from the industry.
HOSPITALITY · Jul 9, 2026
Why Your Food Cost Checks Out and the Margin Is Still Missing
Your recipe costing says 29%, your books say 33.5%. Here's how to find the gap between target and actual food cost – and what it really means.
HOSPITALITY · Jul 14, 2026
Your Menu Is a Year Old. Your Purchase Prices Aren't.
You cost your menu once a year, but you buy every week. Here's how margin hides in that gap – and which price you should actually be using.
HOSPITALITY · Jul 19, 2026
Menu Engineering Without Clean Data Is Reading Tea Leaves
Menu engineering is only as good as the contribution margins it sorts by. Three ways the matrix tips over – and how to set it up right.
HOSPITALITY · Jul 24, 2026
Twenty Items Drive Your Food Cost
About 20 to 30 items make up 70% of your food cost. How to find them in an hour – and why the rest can wait.
HOSPITALITY · Jul 30, 2026
The Expiry Date on Your Recipe Costing
Every recipe costing ages – and the error propagates all the way into menu engineering. How often you actually need to recalculate.
HOSPITALITY · Aug 4, 2026
What's Wrong on Supplier Invoices, and Why Nobody Notices
Agreed prices that never arrive. Pack-size changes with no price adjustment. Four discrepancies hiding in almost every supplier invoice – unnoticed.
HOSPITALITY · Aug 9, 2026
Labor Cost as a Percentage of Revenue Is the Wrong Metric
Your labor cost ratio says more about your revenue than about your team. Three metrics that actually measure productivity.
HOSPITALITY · Aug 14, 2026
Food Waste Starts in Purchasing, Not the Kitchen
Food waste gets discussed mostly around portion sizes. The real lever sits three days earlier, at the order.
PRODUCT · Aug 19, 2026
The Three Numbers You Need Every Day
A dashboard with 30 tiles steers nobody. Three numbers you can actually remember – and why the rest belongs in the monthly report.
AI · Aug 24, 2026
Reactive Is Over
It almost never fails on analysis. It fails on timing. Why data should reach out to people, instead of the other way around.