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Transforming E-Commerce with Pragmatic Advertising Using Machine Learning Techniques

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  • Sankara Reddy Thamma

Abstract

Today e-commerce has had tremendous growth in the past years primarily due to changes in technology and customer’s buying behavior. One of the big shifts in the process has been the use of ML in advertising which has the capability to transform the marketing domain together with consumer interactions. This paper discusses the viability of using machine learning for designing realistic models of advertising to increase effectiveness of target and personalized advertising, as well as conversion rates in e-commerce. Several techniques are explored in the study, such as supervised and unsupervised learning, recommender systems, and content optimization with natural language processing. By using case studies and experimental models, we discuss how and to what extent ML is beneficial in e-commerce advertising transformation. The results presented in this paper indicate that using machine learning in advertising has a potential of dramatically improving the customer experience while simultaneously increasing brand recognition and sales.

Suggested Citation

  • Sankara Reddy Thamma, 2025. "Transforming E-Commerce with Pragmatic Advertising Using Machine Learning Techniques," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 11(1), pages 394-404, February.
    • Handle: RePEc:jbh:ijsrcs:v11:y2025:i1:id:694
    DOI: 10.32628/CSEIT25111248
    Note: Article URL: https://ijsrcseit.com/home/article/view/CSEIT25111248
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