Transforming Customer Relationship Management through AI: A Comprehensive Approach to Multi-Channel Engagement and Secure Data Management

Authors

  • Kalyan Gattupalli Author

Keywords:

Customer Relationship Management, Sentiment Analysis, Predictive Analytics, Multi-Channel Engagement, Data Security, Customer Satisfaction, CRM Framework, GDPR Compliance

Abstract

Through the use of Natural Language Processing (NLP) for sentiment analysis and predictive analytics, the research delves into the revolutionary potential of AI in improving Customer Relationship Management (CRM) systems. By laws like the GDPR, the AI-driven CRM architecture was created to secure client data and enhance customer interaction through a variety of communication channels. Significant gains in important measures, such as a 20% increase in click-through rates and a 15% increase in customer retention, have been viewed in the experimental results. These results demonstrate the way AI works to optimize marketing campaigns and provide individualized customer experiences. Businesses may obtain deeper insights into consumer behaviour by utilizing AI technologies, which will result in more focused and effective CRM initiatives. According to the research, artificial intelligence (AI) offers businesses a competitive edge in today's digital economy by increasing consumer trust and improving CRM procedures.

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Published

23-08-2024

How to Cite

Transforming Customer Relationship Management through AI: A Comprehensive Approach to Multi-Channel Engagement and Secure Data Management. (2024). International Journal of Management Research and Business Strategy , 14(3), 1-11. https://ijmrbs.net/index.php/ijmrbs/article/view/160