An Artificial Neural Network (ANN) model based system called Neureca2 developed by the authors [5] was applied
to estimate various tool production costs. It is based on above appointed descriptive features of the tool to be
produced; these are already available in the quotation phase. Altogether thirteen description parameters were
selected as inputs for the estimation. Some of these parameters can be specified simply based on the given
CAD model others are to be specified easily and quickly by an expert preparing the quotation, it a key specimen of
the approach proposed. The ANN model estimates the total cost of the produced tool, moreover beyond this also
thirteen other cost types: