Modeling of products sale velocity and products recommended structure on the basis of a data reduction method

This article presents an algorithm of selection of the most informative products parameters, so thatthe products sate velocity, can be predicted. The method is based on statistical information about sales with the help of data mining procedures. The constructed decision tree allows to refer a analyzable product according to its attributes values to a cluster of sale velocity. A decision tree structure gives developments of new products information about what attributes of products influence sales most essentially. It provides direct search to the designers.