Abstract— In this paper are planned business intelligence activities for global distribution market (GDO). More specifically, market basket analysis and product facing are performed respect to a short, medium and long period. The joint analysis has been performed by data mining algorithms on the RapidMiner platform. The goal of this work is to define predictive analysis in order to activate market strategies taking into account of: promotions, warehouse management, product correlation and product displacement both in the shelves and in the whole store. For the business analysis different algorithms in the machine learning have been performed, such as neural network, k-means, association rules, and correlation matrix. The algorithms have been applied respect to the short, medium and long period. Finally, standard procedures will be applied for the purpose of this work in GDO applications.
