International Journal of Research and Innovation in Applied Science (IJRIAS)
AI-Powered Personalization in Mobile Commerce Applications
Published January 16, 2026 • Vol. 10, Issue 12, pp. 796–800Open Access
DOI: 10.51584/IJRIAS.2025.10120066
Abstract
Mobile commerce (m-commerce) has significantly transformed consumer purchasing behavior by offering convenient and seamless shopping experiences through smartphones and tablets. As e-commerce platforms continue to expand rapidly, personalization has emerged as a critical factor for businesses aiming to boost user engagement, satisfaction, and customer loyalty. Artificial Intelligence (AI) serves as a driving force behind this personalization, utilizing machine learning algorithms, natural language processing, and predictive analytics to tailor shopping experiences to individual preferences. This paper examines the role of AI-powered personalization in mobile commerce applications, highlighting its advantages, challenges, and future opportunities.
Keywords: Mobile commerce has become a vital component of the digital economy
| Journal | International Journal of Research and Innovation in Applied Science (IJRIAS) |
|---|---|
| ISSN | 2454-6194 |
| Volume / Issue | Volume 10, Issue 12 |
| Pages | 796–800 |
| Publication date | January 16, 2026 |
| DOI | 10.51584/IJRIAS.2025.10120066 |
| Publisher | RSIS International |
| License | Open Access |
How to cite this article
Dr Deepak Mathur (2026). AI-Powered Personalization in Mobile Commerce Applications. International Journal of Research and Innovation in Applied Science (IJRIAS), 10(12), 796-800. https://doi.org/10.51584/IJRIAS.2025.10120066
BibTeX
@article{Dr2026,
title = {AI-Powered Personalization in Mobile Commerce Applications},
author = {Dr Deepak Mathur},
journal = {International Journal of Research and Innovation in Applied Science (IJRIAS)},
volume = {10},
number = {12},
pages = {796--800},
year = {2026},
doi = {10.51584/IJRIAS.2025.10120066},
publisher = {RSIS International}
}