The four quadrants
- Stars: high contribution + high popularity. Feature them; protect the price.
- Plowhorses: low contribution + high popularity. Reprice or re-engineer the recipe.
- Puzzles: high contribution + low popularity. Move to better menu position, train staff to upsell.
- Dogs: low contribution + low popularity. Remove. Free up prep + procurement complexity.
Why contribution, not food cost %
A ₹100 dish at 25% food cost contributes ₹75. A ₹500 dish at 40% food cost contributes ₹300. The second makes more money per sale. Menu engineering is about contribution-per-sale × volume-sold, not the percentage cost ratio.
Run it monthly, not annually
Tastes, prices, and operations shift. Run it monthly for stable menus, weekly during launches. FireAI does this live on POS data - menu engineering in FireAI.
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Guide
What Is Menu Engineering Analytics for Restaurants?
Menu engineering analytics classifies menu items by popularity and profit using the BCG matrix (stars, plowhorses, puzzles, dogs). Learn how Indian restaurants and QSRs optimize menus, and how FireAI auto-classifies items from POS data.
Guide
What Is Food Cost Analytics for Restaurants?
Food cost analytics turns recipes, purchases, and POS sales into food cost percentage, actual vs theoretical usage, and waste signals. Learn how Indian restaurants and QSRs use it to protect margin, and how FireAI connects POS and inventory for live F&B dashboards.