Leveraging Artificial Intelligence for Context-aware Marketing in Mobile Commerce Applications

This article explores the integration of artificial intelligence in contextual marketing within mobile commerce applications, focusing on the development and implementation of sophisticated AI-driven systems for enhanced user experiences. The article investigates how AI algorithms can effectively analyze user behaviors, purchasing patterns, and real-time contextual data to deliver personalized marketing experiences in mobile commerce platforms. It examines the technical foundations of AI-driven marketing systems, including machine learning algorithms, deep learning models, and natural language processing capabilities, while addressing the critical aspects of data collection and privacy preservation. The article further delves into the implementation frameworks, system architectures, and performance metrics that enable successful deployment of these systems. Through comprehensive article analysis of behavioral patterns, predictive modeling, and real-time decision systems, this article demonstrates the transformative potential of AI in mobile commerce marketing. The article also addresses technical challenges, privacy considerations, and future directions, providing valuable insights for organizations seeking to leverage AI technologies for improved customer engagement and business outcomes in the mobile commerce landscape.

Authors

Publication Details

Journal
International Journal For Multidisciplinary Research
Published
2024-12-15
DOI
https://doi.org/10.36948/ijfmr.2024.v06i06.33004
Primary Topic
Digital Marketing and Social Media
Type
article
Field-Weighted Citation Impact
0.00
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article

Leveraging Artificial Intelligence for Context-aware Marketing in Mobile Commerce Applications

S. Ubale
International Journal For Multidisciplinary Research
Digital Marketing and Social Media
article

Leveraging Artificial Intelligence for Context-aware Marketing in Mobile Commerce Applications

S. Ubale
article en

Abstract

This article explores the integration of artificial intelligence in contextual marketing within mobile commerce applications, focusing on the development and implementation of sophisticated AI-driven systems for enhanced user experiences. The article investigates how AI algorithms can effectively analyze user behaviors, purchasing patterns, and real-time contextual data to deliver personalized marketing experiences in mobile commerce platforms. It examines the technical foundations of AI-driven marketing systems, including machine learning algorithms, deep learning models, and natural language processing capabilities, while addressing the critical aspects of data collection and privacy preservation. The article further delves into the implementation frameworks, system architectures, and performance metrics that enable successful deployment of these systems. Through comprehensive article analysis of behavioral patterns, predictive modeling, and real-time decision systems, this article demonstrates the transformative potential of AI in mobile commerce marketing. The article also addresses technical challenges, privacy considerations, and future directions, providing valuable insights for organizations seeking to leverage AI technologies for improved customer engagement and business outcomes in the mobile commerce landscape.

International Journal For Multidisciplinary ResearchVol. 6(6)
Openalex Percentile: Top 62%
Digital Marketing and Social Media
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Leveraging Artificial Intelligence for Context-aware Marketing in Mobile Commerce Applications — S. Ubale · International Journal For Multidisciplinary Research (2024) | TGRS Research Map | TGRS