Churn Detection Using Machine Learning in the Retail Industry

The top priority of any business is a constant need Increase sales and profitability. one the causes reduction in profit occurs when an existing customer stops trading. When leaves or terminates company, potential cross-selling opportunities are lost. store without advice. It can be difficult for companies to respond take corrective action. Ideally, should act proactively identify themselves chances you will churn before they leave. retention strategies have proven less expensive than attracting new ones client. Through data available at POS(POS) system, extract transactions, analyze their buying behavior. In this paper Features created through transactional how Identified as important predicting retail industry. Data provided document refer local resident’s supermarket. Thus, dropouts identified results obtained. obtained based on real scenarios. novelty concept implementing deep learning algorithms. Convolutional Neural Networks Restricted Boltzmann Machine technique choice restricted machine gave best 83% attrition.