Generative AI for Retail CRM Systems: Revolutionizing Customer Engagement and Satisfaction Through Data-Driven Personalization
Keywords:
generative AI, retail CRM, customer engagementAbstract
Generative AI may make retail CRM appealing. Personalization and generative AI interaction optimization may improve retail CRM customer experiences. Generative AI models can learn consumer preferences, habits, and spending patterns from huge customer data, but CRM systems cannot. In this project, GANs, VAEs, and transformer-based models anticipate client traits and update content. Generative AI may make retail CRM proactive and customer-focused. For wide marketing without client targeting, traditional CRM leverages history and rule-based algorithms. Generative AI algorithms provide hyper-personalized ideas, dynamic content, and customer-specific engagement using real-time data and strong machine learning. Gen AI anticipates customer marketing reactions, personalizing content and brand loyalty.
We study how generative AI enhances sentiment analysis to help CRM systems react fast and relevantly to modest sentiment changes across digital interactions to boost customer satisfaction.
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