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Restaurant Required Delivery Staff

Estimate whole staff equivalents required for a delivery target.

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Restaurant / cover economics

Restaurant Required Delivery Staff

Your result6 staff

580590610061107120Monthly sales target
Other inputs stay fixed. Point labels show the calculated result in staff; this is a scenario comparison.

Required staff = ceiling(sales × hours per sale / (hours available × utilization))

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

Required staff = ceiling(sales × hours per sale / (hours available × utilization))

Example figures
InputExample
Monthly sales target100
Labour hours per cover6
Available monthly hours per staff member160
Billable utilization70 %
Calculated result6 staff

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 round staff demand up?

The tool estimates whole staff equivalents. Part-time schedules and overtime require a separate staffing plan.

Assumes matching skills and smooth demand; shift timing may require more staff.

Compare a different assumption

What if this input changes?

If monthly sales target rises by 10%, this example changes by 0 staff. 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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