Framework of business intelligence systems for infrastructure design and management

The advent of Business intelligence systems and data mining techniques has helped the business owners to make better decisions in order to increase their profits. Apart from other factors, profits and sales can be increased if an efficient and effective store infrastructure is in place. We propose a framework that uses customers' data to suggest improvements to the store's physical infrastructure by applying machine learning techniques. The research also covers the comparisons of recommendation systems in the retail industry and the application of two different machine learning approaches to achieve our goals.