Predictive Analytics for Customer Service
Abstract
Every business leader would love to be able to predict the future. While there is no encompassing business “crystal ball,” there is predictive analytics. Predictive analytics is a transformative tool that enables businesses to anticipate future trends and make informed decisions based on historical data. Businesses can use predictive analytics to improve customer experience by analyzing customer behavior patterns. Predictive analytics operates on the principle that historical data contains valuable information about future events. Predictive analytics in customer service refers to the use of historical data, artificial intelligence, statistical algorithms, and machine learning to anticipate future customer behaviors, potential issues, and service needs. It helps you anticipate what customers need – before they ask. It is about using data to personalize support, resolve issues early, and boost customer satisfaction. In this paper, we will explore the transformative impact of predictive analytics on customer service.
How to Cite This Article
Matthew N O Sadiku, David Padi, Janet O Sadiku (2026). Predictive Analytics for Customer Service . International Journal of Management and Organizational Research (IJMOR), 5(2), 131-138. DOI: https://doi.org/10.54660/IJMOR.2026.5.2.131-138