ENHANCED AI-POWERED CUSTOMER EXPERIENCE MODEL

Authors

  • Ruqayyah Abdullahi Abubakar Faculty of Computing, Department of Informatics, Kaduna State University, Kaduna,
  • Ahmed Abubakar Aliyu Faculty of Computing, Department of Informatics, Kaduna State University, Kaduna,
  • Zahra B. Yashe Faculty of Computing, Department of Informatics, Kaduna State University, Kaduna,
  • Muhammad Aminu Ahmad Faculty of Computing, Department of Informatics, Kaduna State University, Kaduna,
  • Saadatu Abdulkadir Faculty of Computing, Department of Informatics, Kaduna State University, Kaduna,
  • Muhammad Ibrahim Faculty of Computing, Department of Informatics, Kaduna State University, Kaduna,

Abstract

This journal will focus on the intersection of artificial intelligence (AI) and customer experience (CX), highlighting how emerging technologies enhance customer interactions, personalization and satisfaction.AI- powered customer experience models are revolutionizing how business interact with customers by offering real-time, personalized and data-driven interactions. Today’s customers expect brands to anticipate their needs, resolve issues instantly, and provide seamless interactions across all channels. The enhanced AI-powered customer experience model aims to transform traditional customer service into an intelligent, customer-centric experience.  This study presents an enhanced AI-powered customer experience model by integrating three (3) additional factors; data security, customer satisfaction, and customer loyalty into an existing framework comprised of seven (7) factors, including AI-perceived services (service quality), perceived sacrifice, perceived convenience, personalization, relationship commitment, trust and AI-powered customer experience service. Utilizing a quantitative approach, the model was tested for statistical significance using ANOVA, which confirmed the overall model's validity. Further analysis revealed that AI-powered customer service, relationship commitment, perceived convenience, data security, and customer satisfaction significantly impact the dependent variable, customer loyalty. Data Security is statistically significant with p (0.000) < (0.05) which indicates that there is a substantial contribution from data security to customer loyalty. These findings highlight the importance of integrating data security and customer satisfaction into AI-driven customer experience strategies to effectively enhance customer loyalty. The enhanced model offers valuable insights for businesses aiming to optimize their customer experience initiatives through advanced artificial intelligence technologies.

Downloads

Published

2025-03-31

Issue

Section

ARTICLES