The module 4cost-prediction offers the possibility to utilize multiple parameters for the prediction of costs and prices. Based on a multidimensional regression algorithm, the mathematics in the model permits users to predict the cost or price through the application of multiple, selectable parameters. 4cost-prediction answers typical questions like "what does the machine cost?”, if we choose the individual parameters like “machine type, weight, power, precision, consumption, etc."
4cost-prediction uses a combination of standardized mathematics (e.g. regression analysis) and combines this with 4cost individually developed algorithms to create multidimensional cost/price predictions.
This functionality and ease-of-use capability of 4cost-prediction is unique in the market.
