Data-Driven CRM: Leveraging AI and Machine Learning for Advanced Predictive Analytics

EasyChair Preprint 14717

Abstract

Data-Driven Customer Relationship Management (CRM) is evolving rapidly with the integration of Artificial Intelligence (AI) and Machine Learning (ML), enabling businesses to enhance customer interactions and predict behavior with greater accuracy. This paper explores how AI and ML techniques are revolutionizing CRM systems by providing advanced predictive analytics capabilities. By leveraging large volumes of customer data, these technologies help businesses uncover insights into customer preferences, optimize engagement strategies, and forecast future trends. The study emphasizes the role of predictive modeling, sentiment analysis, and recommendation systems in improving customer retention and satisfaction. Additionally, it examines the challenges and ethical considerations in implementing AI-driven CRM systems, particularly in terms of data privacy and algorithmic fairness. The findings suggest that a well-implemented AI-powered CRM can significantly enhance decision-making and customer engagement while fostering long-term loyalty.

Keyphrases: Artificial Intelligence, Customer Retention, Data-Driven CRM, Predictive Analytics, Sentiment Analysis, machine learning

@booklet{EasyChair:14717,
  author    = {Kayode Sheriffdeen},
  title     = {Data-Driven CRM: Leveraging AI and Machine Learning for Advanced Predictive Analytics},
  howpublished = {EasyChair Preprint 14717},
  year      = {EasyChair, 2024}}