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
- S. Ubale
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