Customer satisfaction is the key of a successful modern business. So customer satisfaction
prediction becomes an important mission in Business Intelligence. Based on various studies …

Purpose: A variety of soft approaches have already been considered in relation to the
growth of marketing. Problems related to customer satisfaction and retention have been …

This study aims to classify customer satisfaction data from Café Alvina using Machine
Learning, specifically by implementing the Backpropagation Artificial Neural Network. The …

In this paper, we investigate the performance of machine learning (ML) to predict customers'
satisfaction score from the sales dataset collected by Olist, the Brazilian e-commerce …

Customers' propensity for brand loyalty, recurrent business, and positive word-of-mouth are
directly influenced by the degree to which their needs are met. E-commerce happens to be …

Timely identification of dissatisfied customers would provide corporations and other
customer serving enterprises the opportunity to take meaningful interventions. This work …

Satisfying the customers' service requirements and expectation, especially customer
satisfaction had been one of the major challenges faced by the mobile network operators in …

The automotive industry is in the strongest competition ever, as this sector gets disrupted by
new arising competitors. Providing services to maximum customer satisfaction will be one of …

There are many airline customer evaluation data, but they are insufficient in terms of
predicting customer satisfaction in practice. In particular, they are generally insufficient in …

The purpose of this research project was to analyze customer complaint data from financial
institutions and identify areas of opportunity for these institutions to improve their customer …