We consider a problem about the way of predicting the exit of gifts in a promotional catalogue for a chain of Hypermarkets located in Northern Italy. The aim of this paper is to compare experimental and statistical methods to achieve a reliable predictive model. We realize a predictive statistical model using microsoft Excel. In this way we can obtain a data processing-statistical instrument that allow us to join the valuation of data with the commercial needs of the large-scale retail trade (GDO). We underline the role of performance evaluation data using methods for resolving problems.
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