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International Journal for Research Trends and Innovation
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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
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| Paper Title: | ML-Driven Conversion Optimization in Global E-Commerce Platforms |
| Authors Name: | Yaswanth Jeganathan |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_206196
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| Published Paper Id: | IJRTI2509078 |
| Published In: | Volume 10 Issue 9, September-2025 |
| DOI: | https://doi.org/10.56975/ijrti.v10i9.206196 |
| Abstract: | The reason for this increased prominence of Conversion Rate Optimization (CRO) in ensuring the competitive advantage is the rapid growth in e-commerce globally. The next potential solution to the CRO problem is Machine Learning (ML), which offers the possibility for personalizing the data, dynamic testing, and decision-making in real-time. The given paper will explore such ML approaches as supervised, unsupervised, and reinforcement learning, with the perspective of the way they can be implemented in the case of recommendation systems and predictive modelling algorithms, and multi-armed bandit algorithms. It also addresses the challenges of globalization of personalization and integration of cultural features, language, and regulation. The ethical side of the data privacy component, like algorithm fairness and transparency, are discussed, making it clear that there should be responsible AI governance. Finally, the study concludes with a discussion of future trends, including AR/VR integration, generative AI, meta-learning, and voice commerce, which are going to transform the global e-Commerce CRO. The paper, by accumulating academic literature and practitioner knowledge, outlines a whole framework by which ML can be used to conduct conversion optimization practices ethically and in line with the regulations. |
| Keywords: | Machine Learning (ML), Conversion Rate Optimization (CRO), Global E-Commerce, Personalization, Multi-Armed Bandit Algorithms |
| Cite Article: | "ML-Driven Conversion Optimization in Global E-Commerce Platforms", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 9, page no.a686-a693, September-2025, Available :http://www.ijrti.org/papers/IJRTI2509078.pdf |
| Downloads: | 0001292 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
| Publication Details: |
Published Paper ID: IJRTI2509078
Registration ID:206196
Published In: Volume 10 Issue 9, September-2025
DOI (Digital Object Identifier): https://doi.org/10.56975/ijrti.v10i9.206196
Page No: a686-a693 Country: -, -, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2509078 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2509078 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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