Circonomit brings data and expert knowledge into a single structural model. Your planners’ experience becomes defensible input — explicit, traceable, calculable.
The knowledge that really drives decisions sits in planners’ and dispatchers’ heads. It is rarely written down, rarely calculable, rarely defensible when the person leaves.
Data projects assume that everything that matters is in the data. In manufacturing reality, the critical knowledge is in operations — in decisions, trade-offs, rules of thumb that no system captures.
Expert workshops produce slides. What survives as a calculable model that the next decision can use — that is where most knowledge capture breaks down.
Your systems capture data. Circonomit brings data and expert knowledge into a structural model — every assumption explicit, every rule of thumb calculable, every decision defensible.
First the decision problem is structured together with your experts: which rules matter? Which constraints are binding? Which trade-offs are real? Circonomit turns that into a calculable model — not a slide, a model.
What happens if a rule of thumb is tested against the data? How far does expert intuition match reality, where does it break? Circonomit simulates the consequence before the decision is made.
Circonomit calculates which decision, with data and expert knowledge combined, produces the best trade-off under real conditions. With an explicit contribution from each source — not a black box.
The result: a calculated structural model for your decision problem, with explicit inputs from data and expert knowledge. You know which assumption drives which outcome, and what every deviation concretely costs.
You see which expert assumptions really move your decisions, and which match or deviate from the data.
Every rule of thumb becomes a defensible model parameter — not a compromise, an explicit part of the approach.
No new data project. Circonomit works with your existing data plus your experts’ knowledge.
Q:
How does expert knowledge become defensible input?
A:
Every assumption that is not backed by data is marked as an expert assumption in the model and tested with sensitivities. The model shows how robust the result is across a range of the assumption. If the result holds, the assumption matters less; if it flips, the assumption becomes a priority for validation. That is how experience becomes defensible, not just opinion.
Q:
What does the pilot concretely deliver after 3 weeks?
A:
A calculated structural model for the agreed decision problem, based on your real data and expert knowledge. Explicit assumptions per source. Three to five quantified scenarios with sensitivities. The success criterion is agreed in writing before work starts. Fixed price: EUR 7,500 net.
Q:
Which experts need to be involved?
A:
Typically a planner or dispatcher who runs the decision every day, plus a controller who sees the numbers. Two to four sessions of 90 minutes each are usually enough to structure the model. The experts stay in control — the model is reviewed together, not handed over blind.
Sprechen Sie in Ruhe mit dem Team.
Erstgespräch bei einem digitalen Kaffee
Wir verstehen Ihr Problem
Pilotmodell in 3 Wochen, Fixpreis 7.500 €
Auf Basis Ihrer realen Daten. Erfolgskriterium schriftlich vereinbart
Entscheidungen, die Sie vertreten können
Nachvollziehbar, quantifiziert, wiederholbar