Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal International Journal of Artificial Intelligence for Digital Marketing
Morales, Sofia
Unknown Affiliation
Economics, Econometrics & Finance Environmental Science

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
CREATION OF AI-BASED CUSTOMER BEHAVIOR ANALYTICS MODELS TO HELP BUSINESSES IMPROVE MARKET FORECASTING AND PERSONALIZED SERVICES Gonzalez, Maria; Morales, Sofia; Torres, Javier
International Journal of Artificial Intelligence for Digital Marketing Vol. 2 No. 12 (2025): International Journal of Artificial Intelligence for Digital Marketing
Publisher : PT ANTIS INTERNATIONAL PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61796/ijaifd.v2i12.468

Abstract

Objective: Understanding customer behavior is fundamental to effective market forecasting and personalized service delivery. This paper presents AI-based customer behavior analytics models that leverage deep learning and clustering techniques to segment customers, predict purchasing patterns, and enable personalized marketing strategies. Method: Our multi-layered approach integrates collaborative filtering, sentiment analysis, and sequential pattern mining to create comprehensive customer profiles. Results: Validation using e-commerce datasets shows prediction accuracy improvements of 31% over traditional methods, with personalized recommendations achieving a 24% increase in conversion rates. Novelty: The research contributes to customer relationship management theory and provides actionable insights for businesses seeking to enhance customer engagement through data-driven personalization.
Co-Authors Gonzalez, Maria Torres, Javier