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How to run a tighter restaurant group.
Practical, no-fluff guides on the things that move a restaurant P&L — food cost, stockouts, recipe drift, KPIs and the data rules every multi-venue operator should know.
What is restaurant intelligence (and why dashboards keep failing operators)
Restaurant intelligence means turning the data your venues already produce into answers and actions — not another dashboard to check. Here's how it differs from BI and analytics.
How to calculate and reduce food cost % across a multi-venue group
Food cost percentage = (cost of goods sold ÷ food sales) × 100. Here's the formula with a worked example, healthy benchmark ranges, and how to cut it across venues.
Stockout forecasting for restaurants: how to stop 86ing dishes
Stockout forecasting predicts when a venue will run out of an ingredient days ahead, so you order in time and stop 86ing dishes. Here's how it works and why it protects revenue.
Recipe drift: the silent margin killer in restaurant chains
Recipe drift is the gap between a dish's costed recipe and its actual plate cost. It erodes margin quietly across venues. Here's how to detect and fix it.
Restaurant KPIs that actually move the P&L
The restaurant KPIs worth tracking: food cost %, prime cost, labour %, COGS, RevPASH, and more — what each measures, why it matters, and how to act on it.
GDPR for restaurant data: what multi-venue operators need to know
What GDPR means for restaurant groups handling sales, staff and review data: controller vs processor, sub-processors, data ownership, and what to ask a software vendor.
Menu engineering for groups: which dishes to push or cut
Menu engineering ranks dishes by popularity and margin to decide what to push, reprice, reposition or cut. Here's the four-quadrant method applied across venues.
How to manage multiple restaurant locations (a P&L operator's playbook)
Managing multiple restaurant locations means standardising what matters, comparing venues like-for-like, and catching outliers early. A practical playbook for groups.