Optimizing Customer Relationship Management through Artificial Intelligence-Based Predictive Modeling of Degradation Behavior in Polymer Nanocomposites

EasyChair Preprint 14682

Abstract

This study explores the integration of Artificial Intelligence (AI) and predictive modeling to optimize Customer Relationship Management (CRM) in the context of Polymer Nanocomposites (PNCs). By leveraging AI-driven predictive analytics, we investigate the degradation behavior of PNCs to forecast customer needs and preferences. Our model enables businesses to proactively address customer concerns, enhance product quality, and foster long-term relationships. The results demonstrate improved CRM outcomes, increased customer satisfaction, and reduced churn rates.

Keyphrases: Artificial Intelligence (AI), Customer Relationship Management (CRM), Polymer Nanocomposites (PNCs), degradation behavior, predictive modeling

@booklet{EasyChair:14682,
  author    = {Abill Robert},
  title     = {Optimizing Customer Relationship Management through Artificial Intelligence-Based Predictive Modeling of Degradation Behavior in Polymer Nanocomposites},
  howpublished = {EasyChair Preprint 14682},
  year      = {EasyChair, 2024}}