Harnessing AI and Machine Learning for Predictive Analytics in CRM: Revolutionizing Customer Relationship Management

EasyChair Preprint 14716

Abstract

In today's highly competitive business environment, Customer Relationship Management (CRM) systems are essential for maintaining and enhancing customer interactions. The integration of Artificial Intelligence (AI) and Machine Learning (ML) into CRM systems represents a significant advancement, transforming the traditional reactive approaches into predictive and proactive strategies. This paper explores the revolutionary impact of AI and ML on predictive analytics within CRM, highlighting how these technologies enable businesses to anticipate customer needs, personalize interactions, and improve retention rates. By leveraging vast amounts of customer data, AI-driven predictive models can identify patterns and trends that inform decision-making, optimize marketing efforts, and enhance overall customer satisfaction. The research further discusses the challenges and ethical considerations associated with implementing AI in CRM, providing insights into best practices for maximizing its potential. Through case studies and practical applications, the paper demonstrates the transformative power of AI and ML in revolutionizing CRM, ultimately leading to more effective and efficient customer relationship strategies.

Keyphrases: AI-driven CRM, Customer Segmentation, Personalized Marketing, Predictive Analytics, machine learning

@booklet{EasyChair:14716,
  author    = {Kayode Sheriffdeen},
  title     = {Harnessing AI and Machine Learning for Predictive Analytics in CRM: Revolutionizing Customer Relationship Management},
  howpublished = {EasyChair Preprint 14716},
  year      = {EasyChair, 2024}}