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Meal preparation Price Increase Impact

Compare revenue after a price increase and assumed volume loss.

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Meal preparation / meal order economics

Meal preparation Price Increase Impact

Your result20,900 per month

Baseline revenue: 20000

16,7208018,8109020,90010022,99011025,080120Current price
Other inputs stay fixed. Point labels show the calculated result in per month; this is a scenario comparison.

New revenue = price × (1 + increase) × volume × (1 − volume loss)

What you’ll need

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

Formula and worked example

New revenue = price × (1 + increase) × volume × (1 − volume loss)

Example figures
InputExample
Current price100
Price increase10 %
Current monthly sales200
Expected sales volume loss5 %
Calculated result20,900 per month

Baseline revenue: 20000

Choose reliable inputs

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

  • Ingredients: include the portion belonging to this meal order or reporting period, and record where the value came from.
  • Kitchen labour: include the portion belonging to this meal order or reporting period, and record where the value came from.
  • Packaging: include the portion belonging to this meal order 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.

Does raising prices always raise revenue?

A sufficient volume decline can offset the higher price. Compare contribution as well as revenue before deciding.

Volume loss is your assumption, not a demand forecast; costs are excluded.

Compare a different assumption

What if this input changes?

If current price rises by 10%, this example changes by 2,090 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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