The Synergy of Customer Relationship Management and Artificial Intelligence-Based Predictive Modeling in Understanding Degradation Behavior of Polymer Nanocomposite

EasyChair Preprint 14686

Abstract

The degradation behavior of polymer nanocomposites is a complex phenomenon that affects their performance and lifespan. This study explores the synergy between Customer Relationship Management (CRM) and Artificial Intelligence (AI)-based predictive modeling in understanding the degradation behavior of polymer nanocomposites. By integrating CRM data on customer usage patterns and environmental conditions with AI-driven predictive models, we develop a novel approach to forecast degradation rates and identify key factors influencing material performance. Our results show that this integrated approach enables accurate predictions of degradation behavior, allowing for proactive material design, optimized performance, and extended lifespan of polymer nanocomposites. This research demonstrates the potential of CRM-AI synergy in advancing materials science and enhancing the durability of polymer nanocomposites.

Keyphrases: Artificial Intelligence, Customer Relationship Management, degradation behavior, polymer nanocomposites, predictive modeling

@booklet{EasyChair:14686,
  author    = {Abill Robert},
  title     = {The Synergy of Customer Relationship Management and Artificial Intelligence-Based Predictive Modeling in Understanding Degradation Behavior of Polymer Nanocomposite},
  howpublished = {EasyChair Preprint 14686},
  year      = {EasyChair, 2024}}