For manufacturers
We only learn months later whether an order made money.
At a manufacturer, profit often sits in the margin per order, in how fast you post-calculate and in what rush orders and scrap really cost. The chart shows the first, for a fictional company.
- 1the signal: the post-calculation comes months too late
- 2the fix: post-calculate within a week
- 3the result: margin per order +2.8 points
First call free, 30 minutes.
Input · orders post-calculated within a week
Output · average margin per order, against last year
Δ last year · margin per order, in percentage points
Behind every sentence is one number.
These are the places where the diagnosis looks first.
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“We only learn months later whether an order made money.”
See the chart. Orders post-calculated within a week. The signal before the next quote.
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“A rush order feels like revenue, but it often earns nothing.”
Margin per rush order, set against a regular order.
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“Part of what we make ends up in the bin.”
Scrap and rejects per product group, as a share of hours worked.
A sample report from an installation company shows what the outcome looks like.
Which sentence is yours?
A free 30-minute call. Then the diagnosis: €9,500 excl. VAT, fixed price, 3 weeks. I pull the data; you spend 3 to 4 hours.
Money-back guarantee. If I find no improvement worth more than €9,500 a year, you get your money back. One email within 14 days.
I built the analytics function of Amazon Shipping from scratch and led the team for Europe and the US. See a sample diagnosis (installation company) pdf · fictional company