Recommend pre-production — what does it cost, and can I defend it?

Circonomit calculates the optimal production and inventory plan for the next 6 to 8 weeks: to your targets, within your real capacity limits. One number, not a guess.

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Plans without calculation cost margin every day.

You plan production and inventory for the weeks ahead, but nobody calculates the trade-off between on-time delivery, capacity utilization and cost.

Recommending a plan change without numbers is hard to defend. What it costs, what it delivers, whether it holds up internally — that stays a guess.

Your ERP plans what is feasible. Which of all feasible plans is the best trade-off between on-time delivery, utilization and cost — that it does not calculate.

Circonomit calculates the optimal plan, to your targets.

Your ERP plans what is feasible. Circonomit calculates what is best. Two different questions. Which production and inventory plan produces the best trade-off between on-time delivery, utilization and cost under your conditions? Defensible, because calculated.

1

Model

First the S&OP problem is structured: Which capacities are available? Which inventory costs arise from pre-production? Which delivery commitments are binding? Circonomit connects your data and your planners’ knowledge into a calculable model, in weeks, not months.

2

Simulate

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

What happens if demand rises 15% in Q3? What does moving a campaign forward by four weeks cost in inventory and capacity? Circonomit simulates the relevant scenarios before you decide, not afterwards.

3

Optimize

Circonomit calculates the production and inventory plan that, under your real constraints — capacity limits, setup times, delivery commitments — produces the best trade-off between on-time delivery, utilization and cost. Not the theoretical maximum, the achievable one. With an explicit price for every alternative.

The defensible plan. Based on your data.

The result: a calculated model for your S&OP problem, with three to five quantified scenarios and an explicit cost-benefit comparison per alternative. You know which plan best balances on-time delivery, utilization and margin, and what every deviation concretely costs.

Planning decisions with a number, not a gut feel.

You see which production and inventory plan balances on-time delivery, utilization and cost best — calculated, not estimated.

Every alternative carries a price. Circonomit makes it visible before you decide, not when margin shows up missing in the month-end report.

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

What you want to know.

Q:

What does Circonomit deliver that our ERP or APS does not?

A:

Your ERP manages what is planned. Your APS optimizes capacity. Circonomit answers a different question: which production and inventory plan maximizes margin under your real conditions, and what does every alternative cost? That is not a planning function, it is a decision function. Circonomit complements your existing systems, it does not replace them.


Q:

What does the pilot concretely deliver after 3 weeks?

A:

A calculated model for the agreed S&OP problem, based on your real data. Three to five quantified scenarios with an explicit cost-benefit comparison per alternative. A comparison against current practice. The success criterion is agreed in writing before work starts. Fixed price: EUR 7,500 net.


Q:

What if our data is incomplete?

A:

Circonomit works with what you have. Excel is enough as a starting point. Missing data we replace in the first step with structured expert knowledge from your planners — that is explicitly part of the modelling approach, not a compromise. During the pilot it becomes transparent which data gaps affect decision quality and how.

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