Food Cost Improvement: From 43% to 29% in 90 Days — An Anonymised Case Study

Restaurant Profile and Starting Point

*This case study is based on a real client engagement. The restaurant name and some figures have been changed for confidentiality.*

This restaurant on Istanbul's Anatolian side was an upper-middle segment operation with 80 covers, running both lunch and dinner service. It had been open for 14 months, and management had noticed a profitability problem — but did not know where it was coming from.

Starting position:

Revenue looked reasonable. But 43 percent food cost was consuming all potential profit.

Diagnosis and Root Cause Analysis

A diagnostic review was conducted in the first week. Three areas were examined to find the root cause of the food cost problem:

1. Portion analysis: Two days of kitchen observation. Significant portion variance was observed for the same item across different services. There were no recipes — every cook applied their own interpretation.

2. Supplier invoice analysis: Supplier invoices from the past 60 days were reviewed. Inconsistencies were found between invoice amounts and quantities actually received. Average weight variance on delivery was 7–9 percent.

3. Menu sales analysis: POS data was analysed. Of 68 menu items, 24 were generating 6 percent of total sales. These items carried high costs in both preparation time and stock.

Root cause summary: Approximately 65 percent of the food cost problem came from three sources:

• Portion inconsistency from absence of recipes (~30 pct)
• Delivery weight losses from supplier (~20 pct)
• Stock spoilage on slow-moving items (~15 pct)

Recipe System Setup (Days 1–30)

The first 30 days focused entirely on the recipe system.

Steps:

1. 1Gram-based recipes were produced for every menu item (68 items).
2. 2Every recipe was photographed: ingredients, production stages, and final presentation.
3. 3Recipes were laminated in A4 format and posted at every kitchen station.
4. 4A 3-day calibration was run with the existing team: every item was produced once and corrected against the recipe.
5. 5Weighing equipment was placed at every prep station.

By day 30, weekly food cost had fallen from 43 to 38 percent. The recipe system alone produced approximately a 5-point improvement.

Supply and Stock Control (Days 30–60)

The second 30 days focused on supply chain and stock management.

Supplier controls:

• A weekly price confirmation email procedure was established with primary suppliers.
• Weight checks on every delivery were standardised.
• Any weight variance found on delivery was reported to the supplier in writing on the same day.

Within the first month, delivery weight variances fell from 7–9 percent to below 2 percent.

Stock management:

• Weekly stock counts were initiated.
• Stock rotation (FIFO) was documented and briefed to the team.
• A daily waste recording form was created and made mandatory with the kitchen chef's signature.

By day 60, weekly food cost had fallen from 38 to 33 percent.

Menu Optimisation (Days 60–90)

The final 30 days focused on menu analysis and optimisation.

Menu analysis matrix:

Each item was evaluated on two axes:

• Sales volume: High or low?
• Contribution margin: High or low?

Four categories emerged from this matrix:

This analysis reduced the 68-item menu to 48 items. The 20 removed items were all in the "low sales + low margin" category.

Result: Menu simplification improved both food cost and kitchen efficiency. Fewer items meant less stock, less prep time, and less spoilage.

Outcomes and Learnings

Results measured at day 90:

Three core learnings:

1. The source of a food cost problem is usually different from what is assumed. In this case, management attributed the problem to "staff carelessness." In reality, the problem was a systems deficit. Once the system was built, the same people produced different results.

2. Three sources accounted for 65 percent of the problem. Attempting to fix everything at once produced inferior results to eliminating the largest sources first — both faster and more effective.

3. Without measurement, improvement is invisible. Without building the weekly tracking system, the effect of the changes would have been unknown. Measurement provides both motivation and validation.