Cost Estimation with Machine LearningAI
A machine learning model that estimates production cost in EUR/kg with extremely high accuracy: an evaluation that used to take a long time now takes a few minutes.
Production cost, before producing
For DMV Tubes we developed a machine learning model that estimates the production cost (EUR/kg) of a tube configuration from its characteristics, achieving extremely high accuracy. An evaluation that used to take a long time is now a matter of minutes: concrete support for faster quotations and margins under control.
Reliable estimates, continuously updated models
For never-seen-before configurations, dedicated guard rails flag that the estimate falls outside the model's domain of experience, instead of producing a seemingly precise but unreliable number.
The models are continuously updated to follow market trends and price lists: estimates stay aligned with reality even as prices move.
Explainable estimates
The model shows which factors pushed the estimate up or down: thicknesses, materials, machining steps.
Explainability turns the model from a black box into a working tool: whoever prepares the quotation understands the why behind every number and decides with full awareness.
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