Industry-specific · Free tool
Food Cost Calculator
Add ingredients with cost, portion size, and selling price to get cost per serving, food cost %, and contribution margin. Paste a multi-dish CSV for an outlet-wide rollup.
India F&B food cost benchmarks
| Format | Ideal food cost % |
|---|---|
| QSR | 28–35% |
| Casual dining | 30–35% |
| Fine dining | 32–38% |
| Cloud kitchen | 28–32% |
| Beverages | 18–22% |
Pricing using target food cost
Selling price = Ingredient cost ÷ Target food cost %. For ₹30 ingredient cost at 30% target: ₹100 selling price. This calculator surfaces the suggested price next to your current price so you can see the gap.
From recipe-level to outlet-wide
FireAI rolls food cost % up by outlet, brand, and day-part, alerts you when a dish drifts above its target. See menu engineering for the next step beyond costing.
Get this calculator running on your live data
Try FireAI free — go from one-off calculations to a live dashboard updated every hour.
Frequently asked questions
Related guides & answers
Go deeper on the topics behind this industry-specific tool.
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.
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.
How-to
How to Track Food Cost Percentage for Restaurants (Step-by-Step)
Practical steps to track restaurant food cost percentage: ingredient master data, recipe costing, actual versus theoretical usage, variance analysis, and automation from POS and inventory. How FireAI helps F&B teams in India monitor margin without spreadsheet churn.
Guide
Outlet-Level Analytics: Know Which Stores Grow and Which Drain Your Revenue
When all outlets look the same in aggregate, you are blind to where the problem is. Outlet-level analytics benchmarks every store, surfaces underperformers by territory, and shows exactly where to act.
FAQ
Can AI Predict Food Demand for Restaurant Chains? Methods & Benefits
Yes: AI can forecast restaurant demand from POS, delivery, and calendar signals. Learn which drivers matter for QSR and full-service chains in India, how models reduce waste, and how FireAI turns sales history into monitored forecasts without spreadsheet churn.
FAQ
Which Menu Items Are Draining Your Margins? AI Can Tell You in Real Time
Not every bestseller is profitable. AI scores menu items by sales mix, margin, and waste—so restaurants can cut the losers, reprice the stars, and engineer menus that actually improve bottom-line revenue.
Blog
Outlet-Wise P&L for Restaurants: A 2026 Operator's Playbook