Integrating Customer Relationship Management with Artificial Intelligence-Based Predictive Modeling of Degradation Behavior in Polymer Nanocomposites for Improved Sustainability

EasyChair Preprint 14685

Abstract

The integration of Customer Relationship Management (CRM) with Artificial Intelligence (AI)-based predictive modeling of degradation behavior in polymer nanocomposites presents a novel approach to enhancing sustainability. This interdisciplinary study combines the insights of materials science, AI, and CRM to develop a predictive model that forecasts the degradation behavior of polymer nanocomposites. By leveraging AI-driven predictive analytics, manufacturers can optimize material selection, reduce waste, and extend product lifetimes, thereby minimizing environmental impact. Concurrently, CRM integration enables the capture of customer feedback and preferences, informing product development and ensuring that sustainable solutions meet market demands. This synergistic approach has far-reaching implications for the development of sustainable materials, customer-centric product design, and environmentally responsible manufacturing practices.

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

@booklet{EasyChair:14685,
  author    = {Abill Robert},
  title     = {Integrating Customer Relationship Management with Artificial Intelligence-Based Predictive Modeling of Degradation Behavior in Polymer Nanocomposites for Improved Sustainability},
  howpublished = {EasyChair Preprint 14685},
  year      = {EasyChair, 2024}}