In the current competitive business environment, businesses have found it to be a tough job to retain their customers and ensure that their Customer Lifetime Value (CLV) is maximized. Experiences that were contributed by companies were often customized to customer satisfaction and loyalty. The paper describes a discussion of how machine learning algorithms could be applied to predict Customer Lifetime Value (CLV) to be used together with Generative AI in providing personalized recommendations. Here, we offer an algorithm that will categorize the Customers according to their future worth; therefore, a forecast of CLV will be created according to historical customer data. In order to enhance customer interaction and retention, we create customized suggestions to each category of customers with the help of Generative AI, specifically Gemini API. The goal here is to demonstrate how the combination of pre-dictive analytics and AI-powered personalization would contribute to the customer delight to boost the retention rate and consequently profitability due to that account. And this would ultimately contribute to the long-term business development by intelligently optimizing the strategies to reach out to customers via the effective retention strategies.