Transforming Customer Relationship Management through AI: A Comprehensive Approach to Multi-Channel Engagement and Secure Data Management
Keywords:
Customer Relationship Management, Sentiment Analysis, Predictive Analytics, Multi-Channel Engagement, Data Security, Customer Satisfaction, CRM Framework, GDPR ComplianceAbstract
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.
Downloads
Published
Issue
Section
License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.