The data is the life force of the industries today. Whatever happens in the commercial world is measured in terms of data, facts and figures. Any success, failures and uncertainties, all are assessed by the data itself. The idea of identifying the factors responsible for productivity in the garment industry is motivated from this viewpoint entirely. Every day we are being affected by data in one way or the other. To analyze it is the basic requirement. This in turn highlights the aspects which are exclusively accountable for any commercial industry’s productivity and efficiency, the garment business is not an exception to it. Moreover, by the usage of feature extraction selection and feature selection, the whole process has become very easy. Once the dataset was acquired, the machine learning (ML) techniques were used along with python programming language that we were able to assess those factors which impacted the productivity in the garment industry.