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Data Mining is an excellent tool to estimate the sales. It allows the company to optimize its production and reduce costs, eg, in storage. When these models are combined with Lean Production, it becomes easier to remove waste and optimize industrial production. This case study followed the CRISP\u2010DM methodology in order to create a model able to reduce and, if possible, eliminate wastage. Several statistics measures were applied to the dataset. Regression algorithms were induced with the goal to find which one of the models are less likely to make mistakes, in other words, what model correctly predict the target result. 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