Which variants pay off, and which quietly cost us margin?

Circonomit calculates the variant and product mix for electronics and medtech companies with high variant complexity, regulated processes and long component lead times.

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Variants become margin killers, quietly, and recognized late.

High variant complexity — many SKUs, many customer-specific configurations. Which of them drive margin, and which quietly eat it up, is known only in the month-end close.

Regulated processes make variant decisions slow and expensive. Which variants produce the highest contribution margin under your real cost structure, rarely gets a calculated answer.

Component lead times of 20 weeks and more: every variant decision ties up capital long before margin arrives. What the opportunity cost of every alternative is, stays a guess.

Circonomit shows which variants pay off, and which do not.

Your controlling shows what happened. Circonomit calculates which variants produce the highest contribution margin under your cost structure. With an explicit cost tipping point per variant and customer.

1

Model

First the variant problem is structured: which cost drivers are tied to which variants? Which regulated processes apply? Which component lead times are binding? Circonomit connects your data into a calculable model.

2

Simulate

Step 3: Utilise the control tool with drilldowns, scenarios, and additional data sources

What happens to margin if a variant is dropped? What if a key customer keeps buying a custom configuration at a discount? Circonomit simulates the consequence before the decision is made.

3

Optimize

Circonomit calculates which variant and customer mix produces the highest contribution margin under your capacity, regulatory and lead-time constraints. Not as intuition — as a calculated recommendation, with an explicit price for every alternative.

The variant decision, calculated.

The result: a calculated model for your variant problem, with cost tipping points per variant and customer. You see which mix produces the highest contribution margin under your current conditions, and what every deviation concretely costs.

Variant decisions with a number, not a hunch.

You see which variants and customers drive your margin, and which erode it. Calculated, not estimated.

Every variant decision has a price. Circonomit makes it visible before you decide on portfolio, pricing or customer terms.

No new data project. Circonomit works with your existing data from ERP, controlling or Excel.

What you want to know.

Q:

Does Circonomit handle regulated processes?

A:

Circonomit represents your regulated processes as constraints in the model — documentation, validation, approval steps. The calculation happens within those constraints, not around them. The result is defensible, because every regulatory boundary is an explicit model parameter, not a free assumption.


Q:

What does the pilot concretely deliver after 3 weeks?

A:

A calculated model for the agreed variant problem, based on your real data. Cost tipping points per variant and customer category. Three to five quantified scenarios with an explicit contribution-margin comparison. The success criterion is agreed in writing before work starts. Fixed price: EUR 7,500 net.


Q:

Does this work with high variant complexity?

A:

Yes — high variant complexity is typically exactly the context where cost tipping points are hardest to spot and most expensive. Circonomit is built for it: the model represents variants, setup times and lot-size effects explicitly. The more variants, the bigger the advantage of a calculated margin model over a guess.

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