By Matt Wampler, CEO of ClearCOGS
For multi-unit operators running protein-heavy menus, every prep decision carries a shelf life penalty. Proteins prepped this morning that do not sell by tomorrow evening become waste. The financial exposure is real, occurs daily, and compounds predictably across a portfolio. The question is not whether over-prep costs money. The question is how much, and whether that number shows up clearly enough in the data to drive a different behavior.
This analysis builds a cost estimate from the inputs most operators already track: average unit volume, food cost percentage, daily waste rate, labor rates, and location count. The goal is to give COOs and franchise ops leaders a framework for sizing the problem before deciding what to do about it.
What Food Cost Data Establishes as the Baseline
Restaurant food costs are well benchmarked. According to the National Restaurant Association’s 2024 analysis, food and non-alcoholic beverage costs among limited-service operators represented a median of 32.4% of sales. Fast-casual operators targeting tighter margins generally aim for 28 to 30%.
At $1.5 million in average unit volume (AUV), 30% food cost puts annual food purchases at $450,000 per location, or roughly $1,233 per operating day. At 32%: $480,000 per year, or $1,315 per day. These figures serve as the denominator for estimating waste exposure.
The waste layer on top is meaningful. Published estimates for total food waste in restaurant operations typically fall between 4% and 10% of all food purchased. ReFED’s 2024 U.S. Food Waste Report identified restaurants and foodservice as generating 12.5 million tons of surplus food that year, with over-production cited as one of the leading behavioral causes. Research on kitchen-level waste consistently attributes 40 to 60% of on-site food waste to preparation and over-production errors.
For a protein-heavy concept where over-prep is the dominant waste driver, a conservative estimate of 3 to 6% of daily food spend going to over-prepped, unsold product is operationally grounded. That range sets the input for the scenario analysis below.
The Two-Part Cost: Food and Labor
Over-prep carries two distinct costs that are often tracked separately or not at all.
The first is direct: the ingredient value of food that was prepped but not sold. A protein SKU with a cost of $4.50 that gets thrown away at close represents $4.50 in pure margin loss, compounded across every item and every day.
The second cost is the labor that prepared it. The Bureau of Labor Statistics reported a median hourly wage of $16.96 for food preparation workers in May 2024. At a loaded cost of approximately $21 per hour, accounting for employer payroll taxes and benefits at roughly 25% above base wage, 30 minutes of excess prep labor per store per day costs $10.50 per location. Across 36 locations operating 365 days per year, that figure reaches $137,970 annually.
Annual excess prep labor cost by location count
| Excess prep labor per store | 10 locations | 20 locations | 36 locations |
|---|---|---|---|
| 30 min/day | $38,325/yr | $76,650/yr | $137,970/yr |
| 60 min/day | $76,650/yr | $153,300/yr | $275,940/yr |
Assumption: loaded labor rate of $21/hour, based on BLS May 2024 median of $16.96/hour for food preparation workers, adjusted 25% for employer overhead. Excess prep time per store is an operational estimate; operators should measure actual production variance to calibrate.
These numbers are conservative. They do not account for the downstream effect: a prep cook spending an hour on protein that gets thrown away was not available for a different task that may have been undersupported during the same shift. The true labor cost of over-prep includes both what was spent and what was foregone.
What Over-Prep Costs Across a Growing Portfolio
Combining food and labor, and using a $50 to $100 per day range for total waste cost per store (reflecting approximately 4 to 8% of daily food spend at a $1.5M AUV concept), the annualized exposure by portfolio size is as follows.
Annualized over-prep ingredient cost by daily waste level and location count
| Daily waste per store | 10 locations | 20 locations | 36 locations |
|---|---|---|---|
| $50/day | $182,500/yr | $365,000/yr | $657,000/yr |
| $75/day | $273,750/yr | $547,500/yr | $985,500/yr |
| $100/day | $365,000/yr | $730,000/yr | $1.3M/yr |
Assumption: 365 operating days per year. Figures represent ingredient cost only. Add labor table above for combined exposure. Daily waste of $75 corresponds to approximately 5 to 6% of daily food spend at $1.5M AUV and 30% food cost.
A 36-location group operating at the midpoint of this range, $75 per store per day, is absorbing approximately $985,500 per year in food that was prepped and not sold. Adding even the conservative 30-minute labor estimate from the table above brings the combined annual exposure above $1.1 million.
The number is large enough to matter in a budget conversation. It is also distributed finely enough across locations, days, and shifts that it rarely surfaces as a crisis, which is precisely why it persists for years without being directly addressed.
The One-Point Rule
Food cost is reported as a percentage, which makes the sensitivity analysis straightforward. At $1.5M AUV, a 1-point improvement in food cost percentage equals $15,000 per year per location. At $2M AUV, the same improvement equals $20,000 per location.
Annual margin impact of a 1-point food cost improvement
| AUV | 10 locations | 20 locations | 36 locations |
|---|---|---|---|
| $1.5M | $150,000/yr | $300,000/yr | $540,000/yr |
| $2.0M | $200,000/yr | $400,000/yr | $720,000/yr |
| $2.5M | $250,000/yr | $500,000/yr | $900,000/yr |
Formula: AUV x 0.01 x number of locations. Applies to any 1-point improvement in food cost percentage, regardless of cause.
For a group running at 33% food cost when 30% is achievable, closing half that gap saves between $225,000 and $450,000 annually at 10 locations, depending on AUV. At 36 locations, the same improvement is worth $810,000 to $1.35 million per year. A meaningful portion of that gap, in protein-heavy concepts with perishable daily inventory, is recoverable through more accurate prep planning.
Why Production Variance Is the Metric That Matters
Most operators track food cost percentage. Fewer track what drives it at the item level. The metric that surfaces over-prep most directly is production variance: how much of each protein was prepped versus how much sold, by day, by location.
A location consistently over-prepping chicken by 20 units per shift is a different problem from one that over-preps on slow days but hits accurately on busy ones. Both show up as elevated food cost in the weekly report, but they require different interventions. The first is a forecasting calibration issue. The second may be a communication issue between the prep team and the line during a high-demand shift.
Total food cost percentage is a lagging signal. Production variance by item, by day, by location is a diagnostic signal. It tells you where over-prep is concentrated, which locations are drifting from target, and whether demand forecasting adoption is happening consistently. It also tells you which managers are adjusting their daily prep plan based on actual demand versus which are defaulting to a fixed assumption regardless of what the day looks like.
The diagnostic question leadership should be able to answer for each protein SKU at each location: what did we prep, what did we sell, and how often were those two numbers significantly apart? If that question is hard to answer today, that is where the measurement work starts. The cost tables above follow directly from the answer.
Curious how this plays out across your locations? Let’s Talk
Sources
- National Restaurant Association. Restaurant Operators Kept Food Cost Ratios in Check in 2024. 2024. restaurant.org
- ReFED. 2024 U.S. Food Waste Report. Updated April 2025. refed.org
- Bureau of Labor Statistics. Occupational Employment and Wage Statistics: Food Preparation Workers. May 2024. bls.gov
