An AI-Based Customer Relationship Management Framework for Business Applications (original) (raw)

In the dynamic landscape of business applications, Customer Relationship Management (CRM) plays a crucial role in developing and sustaining connections with customers. This paper introduces a new framework that uses AI technology to revolutionise customer relationship management (CRM) systems, giving organisations a competitive edge. Customers now have more product and service information at their fingertips than ever before. Retailers have a problem in catering to client preferences for the correct goods and services due to the vast variation that results in consumer demand. In order to better understand client preferences, recommender systems might benefit from product evaluations, opinions, and shared experiences. In order to provide product recommendations, it is necessary to analyse a number of key factors, such as the number of items bought and seen, the list of people who have bought the products, and the total number of products. This proposes a hybrid recommendation strategy that integrates data analytics, collaborative filtering, and machine learning. In order to get an advantage over competitors, customer relationship management systems utilise machine learning models to analyse client personal and behavioural data in order to increase customer retention.