Optimizing Customer Relationship Management with AI: Harnessing Predictive Analytics for Strategic Growth

EasyChair Preprint 14741

Abstract

The integration of Artificial Intelligence (AI) and Machine Learning (ML) in Customer Relationship Management (CRM) has revolutionized the way businesses interact with customers, offering unprecedented opportunities to enhance the customer experience. By leveraging predictive analytics, AI and ML enable organizations to anticipate customer needs, predict behavior, and personalize interactions at scale. This paper explores the impact of AI-driven CRM systems, focusing on how predictive models identify customer trends, forecast churn, and recommend tailored products or services. The study highlights the transformative role of AI and ML in optimizing customer engagement, fostering loyalty, and driving superior customer satisfaction. Ethical considerations, such as data privacy and algorithmic transparency, are also addressed, providing a holistic view of the benefits and challenges associated with AI-powered CRM solutions. Ultimately, AI and ML unlock a new era of customer-centric strategies, empowering businesses to deliver proactive and personalized experiences that meet the evolving expectations of their customers.

Keyphrases: Artificial Intelligence (AI), Customer Relationship Management (CRM), Customer Retention, Machine Learning (ML), Predictive Analytics, customer experience, data-driven decision making

@booklet{EasyChair:14741,
  author    = {Oduola Malik Oyedeji},
  title     = {Optimizing Customer Relationship Management with AI: Harnessing Predictive Analytics for Strategic Growth},
  howpublished = {EasyChair Preprint 14741},
  year      = {EasyChair, 2024}}