Many businesses have their own method of segmentation and customer evaluation to help them give the appropriate managerial attention each segment customer. This paper proposes a more refined objective decision-making support system module that allows full ranking customers. It offers several improvements advantages over state-of-the-art methods. The is based on criteria with quantitative values...

Customer relationship management ( Customer Relationship Management, CRM ) and knowledge management ( knowledge management, KM ) are currently hot research fields. Knowledge of customer relationship management is to support the activities of the enterprise customer relationship management. Enterprise CRM activities consist of a series of activities. But there is a big gap in knowledge, So this ...

On BioLegend's Customer Service team, Anjie takes pride in going above and beyond to ensure the satisfaction of each and every customer. Our team continually strives to provide the highest level of customer support in the industry. As technical service scientist, Deepak understands the many variables that impact an experiment. He listens closely and tries to think and feel like the customer doe...

We propose service attributes as boundary conditions of the relationship between service climate and customer satisfaction. Drawing on service climate theory and research, the customer contact model of service delivery, typologies of service attributes, and relational coordination theory, we hypothesized that customer contact frequency, service intangibility, and service employee interdependenc...

Churn prediction is a Big Data domain, one of the most demanding use cases recent time. It also critical indicators healthy and growing business, irrespective size or channel sales. This paper aims to develop deep learning model for customers’ churn in e-commerce, which main contribution article. The experiment was performed over real e-commerce data where 75% buyers are one-off customers. base...

Various Internet-based technologies have been used to offer online customer service. Common to these technologies is their ability to support interactive communication in exchanges with customers. This paper examines the impacts of communications interactivity on customer decision behaviors. We propose that interactivity can improve customer satisfaction and trust through perceptions of respons...

Given Bayes neural network method, the direct marketing customer repurchase behavior shall be built to analyze how different customer groups have different expectations on ATM services. Also, application of GMKL algorithm in customer recognition of network finance is proposed, training with the use of 20, 000 customer records extracted from RESSET/DB financial research database. First, transfor...