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Restaurant Monthly Delivery Capacity

Estimate delivery capacity from usable labour hours.

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Restaurant / cover economics

Restaurant Monthly Delivery Capacity

Your result52 sales per month

41.63.246.83.652457.24.462.44.8Delivery staff
Other inputs stay fixed. Point labels show the calculated result in sales per month; this is a scenario comparison.

Capacity = staff × hours × utilization / hours per sale

What you’ll need

Gather recipe sheets, supplier invoices and stock counts. Include ingredients, service labour, and facility overhead. The starting figures are examples. Replace them with your own records.

Formula and worked example

Capacity = staff × hours × utilization / hours per sale

Example figures
InputExample
Delivery staff4
Available hours per staff member160
Billable utilization65 %
Hours per cover8
Calculated result52 sales per month

Choose reliable inputs

Track purchased quantities, usable yield, labour and waste before deciding on a selling price. For this restaurant calculation, use recipe sheets, supplier invoices and stock counts and a consistent definition of one cover.

  • Ingredients: include the portion belonging to this cover or reporting period, and record where the value came from.
  • Service labour: include the portion belonging to this cover or reporting period, and record where the value came from.
  • Facility overhead: include the portion belonging to this cover or reporting period, and record where the value came from.

Use the same currency for every money input. Do not mix weekly costs with monthly revenue, or count the same expense in both an itemised cost and allocated overhead.

Why is headcount alone not enough to predict capacity?

Availability, nonbillable time, and hours required per sale determine the delivery throughput.

Assumes interchangeable skills and a stable average job duration.

Compare a different assumption

What if this input changes?

If delivery staff rises by 10%, this example changes by 5.2 sales per month. This shows the effect of one change; it does not predict what will happen.

Open the calculator, save your baseline, then change the input supported by the least reliable estimate in your records. Compare both scenarios before committing to a price or capacity promise.

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