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Auto repair Service Recovery Budget

Budget known refunds and rework effort together.

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Auto repair / repair order economics

Auto repair Service Recovery Budget

Your result1,500

1,340641,420721,500801,580881,66096Refund or credit per case
Other inputs stay fixed. Point labels show the calculated result; this is a scenario comparison.

Recovery budget = cases × (refund + rework hours × hourly cost)

What you’ll need

Gather repair orders, parts invoices and technician time logs. Include parts, technician time, and shop overhead. The starting figures are examples. Replace them with your own records.

Formula and worked example

Recovery budget = cases × (refund + rework hours × hourly cost)

Example figures
InputExample
Refund or credit per case80
Rework hours per case2
Loaded hourly cost35
Cases in period10
Calculated result1,500

Choose reliable inputs

Separate parts, technician time and bay availability for each repair order. For this auto repair calculation, use repair orders, parts invoices and technician time logs and a consistent definition of one repair order.

  • Parts: include the portion belonging to this repair order or reporting period, and record where the value came from.
  • Technician time: include the portion belonging to this repair order or reporting period, and record where the value came from.
  • Shop overhead: include the portion belonging to this repair 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.

What does resolving a complaint actually cost?

Include only entered recovery costs; any effect on future retention is uncertain.

Compare a different assumption

What if this input changes?

If refund or credit per case rises by 10%, this example changes by 80 . 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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