The necessity for effective Customer Relationship Management (CRM) solutions to handle customer contacts and enhance user experience has grown dramatically due to the quick expansion of e-commerce platforms. Large amounts of customer data are frequently difficult for traditional CRM systems to analyse and offer individualised services. This paper suggests an artificial intelligence (AI)-powered intelligent CRM framework for e-commerce settings in order to overcome these drawbacks. In order to improve consumer engagement and decision-making processes, the suggested system makes use of machine learning techniques to analyse user behaviour, purchase trends, and interaction history. Businesses can forecast client preferences, enhance marketing tactics, and provide tailored recommendations by integrating AI algorithms with CRM platforms. Using Python-based machine learning packages, the suggested system is implemented through data preparation, feature analysis, and predictive modelling. AI-driven CRM solutions can greatly enhance customer satisfaction, operational effectiveness, and business performance in e-commerce platforms, according to experimental evaluation. The suggested strategy demonstrates how artificial intelligence can be used to convert conventional CRM procedures into data-driven, intelligent platforms that can facilitate contemporary digital commerce.