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Artificial Intelligence in Customer Segmentation

Sonit Kumar Kumar

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Paper Contents

Abstract

This study examines how Artificial Intelligence (AI) changes customer segmentation, a major component of contemporary marketing plans. The research intends to assess how precisely and effectively artificial intelligence improves customer segmentation in contrast to conventional methods. Using a quantitative survey approach, information on the adoption rates of AI in segmentation, the kinds of customer data used, projected advantages, obstacles, and future investments of businesses was gathered from tech industry workers. With machine learning algorithms leading as the main approach, the results show a major move toward AI-driven strategies. Key advantages include better customization, more accurate segmentation, and effective analysis of enormous datasets. Still, problems like data quality, infrastructure restrictions, and knowledge gaps persist everywhere. Emphasizing the need for strong data systems, infrastructural investment, and moral considerations, the paper ends by providing practical advice for companies to maximize artificial intelligence adoption in customer segmentation.

Copyright

Copyright © 2025 Sonit Kumar. This is an open access article distributed under the Creative Commons Attribution License.

Paper Details
Paper ID: IJPREMS50600016935
ISSN: 2321-9653
Publisher: ijprems
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