Intelligent customer retention through personalized recommendations and machine learning-based support vector machines in e-commerce.

ALIREZA NADERMOHAMMADI¹

1) Ph.D. student in Information Technology Management - Intelligent Business, Islamic Azad University, Central Tehran Branch - Email:

IOI Code : XYCF-KAAZZ
Publication : 2nd.International Congress on Management, Economy, Humanities and Business Development(icmba.ir)
Abstract :
    With the rapid development of e-commerce and intense competition in this field, customer retention has emerged as a fundamental challenge for active businesses in this industry. In this article, we examine an innovative approach for intelligent customer retention. This approach leverages personalized recommendations and support vector machines to intelligently and effectively retain customers within the business ecosystem. Personalized recommendations analyze the behavior and needs of each customer and provide customized and targeted suggestions. These recommendations are built based on previous customer data, purchase history, preferences, and other similar information. The intelligent utilization of these recommendations not only enhances the customer experience but also increases loyalty and fosters continuous engagement with customers. On the other hand, support vector machines, as a machine learning algorithm, can identify hidden patterns and attrition opportunities by analyzing vast amounts of customer data and their behavior. By integrating this algorithm into the customer retention process, businesses can intelligently reduce the time and cost of acquiring new customers and improve the overall relationship with existing customers. By embracing this novel approach, e-commerce businesses can actively and creatively enhance customer retention and increase their market performance and share. This research serves as a reference for international e-commerce and provides guidance for businesses and active researchers in this field.

Keywords : support vector machine customer loyalty machine learning personalized recommendations