Transforming Customer Relationship Management in the Digital Age
Abstract
This paper investigates the transformative role of AI-driven engineering in customer relationship management (CRM) within the digital age. Through case studies and research insights, it explores how artificial intelligence is revolutionizing traditional CRM practices, including customer segmentation, personalized marketing, and sales forecasting. The study highlights the application of AI techniques such as machine learning, natural language processing, and sentiment analysis in analyzing customer data, predicting behavior, and optimizing customer interactions across various channels. Additionally, it discusses the integration of AI with CRM platforms, chatbots, and social media analytics to enhance customer engagement, satisfaction, and loyalty. The paper also addresses challenges such as data privacy, regulatory compliance, and ethical considerations in the deployment of AI-driven CRM solutions. It emphasizes the importance of customer-centric approaches, data-driven strategies, and continuous innovation to leverage AI's potential in transforming CRM practices and driving business growth in the digital era.
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References
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