| Issue |
ITM Web Conf.
Volume 81, 2026
International Conference on Emerging Technologies for Multidisciplinary Innovation and Sustainability (ETMIS 2025)
|
|
|---|---|---|
| Article Number | 01001 | |
| Number of page(s) | 13 | |
| DOI | https://doi.org/10.1051/itmconf/20268101001 | |
| Published online | 23 January 2026 | |
AI-Powered personalization and its impact on sustainable consumer behaviour in digital marketing
Department of Master of Computer Applications, Nitte Meenakshi Institute of Technology, Nitte Deemed to be University, Bengaluru, India.
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
While AI-driven personalization is revolutionizing e-commerce, it must be matched with sustainability. This paper has explored how AI, utilizing recommendation systems, machine learning and natural language processing, can process information in order to nudge pro-environmental choices and mitigate waste and overconsumption. The focus is on how AI will contribute to greener purchases, less returns and a more circular economy. With mixed methods, the case studies evaluate platforms blending personalization with sustainability across a set of key performance indicators e.g. conversion rates, retention, carbon footprint reduction and product lifecycle optimization. Benefits are evident, but issues of privacy, bias and ethics persist. The research highlights the importance of ethical, sustainable AI that can deliver personalized content without adding to environmental issues.
Key words: AI-powered personalization / Sustainable consumer behavior / E-commerce marketing / Digital platforms / Eco-friendly consumption / Sustainability in marketing
© The Authors, published by EDP Sciences, 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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