ISI Journals

In recent years, customer relationship management (CRM) has become an essential component of many businesses. At the same time, algebraic multigrid (AMG) has been widely used in scientific and engineering applications. In this article, we investigate the integration of CRM and AMG and evaluate the performance of AMG-based solvers for large-scale CRM systems. We review recent research on the integration of CRM and AMG and propose a research methodology to evaluate the performance of AMG-based solvers for CRM systems. Our results demonstrate the potential benefits of using AMG in CRM systems and highlight the challenges and limitations of this approach. In recent years, customer relationship management (CRM) has emerged as a key strategy for companies to improve their customer satisfaction and loyalty. On the other hand, algebraic multigrid (AMG) has shown promising results in solving large-scale linear systems in scientific and engineering applications. This article analyzes the integration of CRM and AMG and its potential impact on performance. We review the literature on both topics, propose a research methodology to study the integration, and present the results of our experiments. Our findings suggest that the use of AMG can significantly improve the performance of CRM systems, particularly for large datasets. We discuss the implications of our research for the future of CRM and AMG.