AI-Based CRM Platforms for Transforming Customer Experience with Distributed Web Systems

This report examines the transformation of customer experience through AI in CRM platforms. The introduction highlights the relevance of the topic, defining the research objectives and methodology. The theoretical framework explores the fundamental concepts related to AI and CRM, as well as the evolution of these technologies. Key AI technologies, including machine learning, Natural Language Processing, predictive analytics, and computer vision, are discussed in terms of their contribution to optimizing CRM systems. The report distinguishes between traditional CRM systems that do not use AI and modern AIpowered CRM platforms. It analyzes how AI reshapes the structure, functionalities, and operations of CRM by automating processes, enhancing personalization, and providing predictive analytics. The next section focuses on the impact of AI on customer experience. Key aspects of this transformation include service personalization, process automation, predictive support, and the use of intelligent assistants to improve customer communication. In conclusion, the main findings are summarized, and future AI trends in CRM are outlined.

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Publication Details

Published
2025-06-27
DOI
https://doi.org/10.1109/isas66241.2025.11101774
Primary Topic
Customer churn and segmentation
Type
article
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article

AI-Based CRM Platforms for Transforming Customer Experience with Distributed Web Systems

Vassil Milev, Marian Ileana, Pavel Petrov
Customer churn and segmentation
article

AI-Based CRM Platforms for Transforming Customer Experience with Distributed Web Systems

Vassil Milev, Marian Ileana, Pavel Petrov
article en

Abstract

This report examines the transformation of customer experience through AI in CRM platforms. The introduction highlights the relevance of the topic, defining the research objectives and methodology. The theoretical framework explores the fundamental concepts related to AI and CRM, as well as the evolution of these technologies. Key AI technologies, including machine learning, Natural Language Processing, predictive analytics, and computer vision, are discussed in terms of their contribution to optimizing CRM systems. The report distinguishes between traditional CRM systems that do not use AI and modern AIpowered CRM platforms. It analyzes how AI reshapes the structure, functionalities, and operations of CRM by automating processes, enhancing personalization, and providing predictive analytics. The next section focuses on the impact of AI on customer experience. Key aspects of this transformation include service personalization, process automation, predictive support, and the use of intelligent assistants to improve customer communication. In conclusion, the main findings are summarized, and future AI trends in CRM are outlined.

University of Pitesti (RO), St. Cyril and St. Methodius University of Veliko Tarnovo (BG)
Industry, innovation and infrastructure
Openalex Percentile: Top 73%
Customer churn and segmentation
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AI-Based CRM Platforms for Transforming Customer Experience with Distributed Web Systems — Vassil Milev, Marian Ileana, et al. · (2025) | TGRS Research Map | TGRS