The rapid growth of e-commerce has significantly increased the demand for advanced
techniques to address specific tasks in the e-commerce field. In this paper, we present a …

Purpose Artificial intelligence (AI) is increasingly applied by businesses to optimize their
processes and decision-making, develop effective and efficient strategies, and positively …

In this study, we explore the possible factors affecting churn in the Danish
telecommunication industry and how those factors connect with retention strategies. The …

Customers are prominent resources in every business for its sustainability. Therefore,
predicting customer churn is significant for reducing churn, particularly in the high-churn-rate …

With progressing competitive market, different organizations were desperate to hold this
churn rate as minimum value, hence to achieve this, building an effective (CCP) customer …

Churn studies have been used for many years to increase profitability as well as to make
customer-company relations sustainable. Ordinary artificial neural network (ANN) and …

Companies aim to offer customized treatments, intelligent care, and a seamless experience
to their customers. Interactions between a company and its customers largely depend on the …

Customer churn prediction (CCP) is among the greatest challenges faced in the
telecommunication sector. With progress in the fields of machine learning (ML) and artificial …

Customer churn prediction recently is one of the vital issues that confronts diverse business
industries to sustain the customers base and profits. On the other hand, data scientists …

Currently, Customer churn is a major challenge for e-commerce companies. It is necessary
to have customer churn prediction model for e-commerce companies to predict the customer …