Innovative Strategies for Customer Relationship Management Using Artificial Intelligence-Based Predictive Modeling of Degradation Behavior in Polymer Nanocomposites

EasyChair Preprint 14681

Abstract

In the realm of customer relationship management (CRM), innovative strategies are crucial for sustaining a competitive edge. This research explores the integration of Artificial Intelligence (AI) and predictive modeling to enhance CRM. Specifically, it focuses on the degradation behavior of polymer nanocomposites, leveraging AI-based predictive models to forecast customer needs and preferences. By analyzing the degradation patterns of polymer nanocomposites, businesses can draw parallels with customer behavior, enabling proactive and personalized CRM approaches. This study proposes a novel framework for CRM that incorporates AI-driven predictive modeling, facilitating:

• Enhanced customer segmentation and targeting
• Predictive maintenance and support
• Personalized marketing and engagement strategies
• Improved customer retention and loyalty

Keyphrases: Artificial Intelligence (AI), Customer Relationship Management (CRM), predictive modeling

@booklet{EasyChair:14681,
  author    = {Abill Robert},
  title     = {Innovative Strategies for Customer Relationship Management Using Artificial Intelligence-Based Predictive Modeling of Degradation Behavior in Polymer Nanocomposites},
  howpublished = {EasyChair Preprint 14681},
  year      = {EasyChair, 2024}}