Artificial Intelligence Application for Effective Customer Relationship Management

Relationship management with customers (CRM) systems are widely used by businesses to foster a customer-centric culture. With the help managing relationships with clients (CRM) systems and technologies like with the use of artificial intelligence (AI) and the internet of things (IoT), companies may keep tabs on their customers at all times, monitor their whereabouts, and compile information about their purchases, product usage, and loyalty churn. In order to automate customer relationship management (CRM), businesses have begun using artificial intelligence to respond to consumers' inquiries and the resources they require to answer inquiries from and retain more of those customers. The company's leadership is consistently prepared to win new customers, satisfy existing ones, keep them around, and increase their lifetime value. This facilitates a more amicable interaction between consumers and top management by catering to their wants and needs. Strong client loyalty is the engine that powers long-term success and expansion. Management places a premium on building a team that can bring in new business, satisfy existing clients' expectations, and offer timely feedback to the upper echelons of the company. Furthermore, we used multiple correspondence analysis and clustering to create the conceptual structure map related to Customer Relationship Management and Data Mining-based CRM. The investigation uncovered an intriguing trend toward CRM research's future reliance on machine learning and AI methods. Research into customer relationship management We outline the current state of customer relationship management (CRM) and data mining-based CRM, and we call attention to promising new directions for future research.