CRM yazılım sistemlerinde yeni trendler: Yapay zeka ve makine öğrenimi entegrasyonlarının müşteri analitiği üzerindeki etkisi

In this era of paced digitalization significant changes have surfaced. Nowadays companies are not just gathering customer information. Also concentrating on analyzing this data in an efficient manner to improve the overall customer satisfaction. The incorporation of machine learning and artificial intelligence, in CRM systems has revolutionized the way customer analysis is conducted making it a sophisticated and multifaceted procedure. Traditional CRM systems were originally created to store customer information and conduct analyses; however., AI and machine learning powered CRM systems offer sophisticated analytical features, like forecasting customer actions and creating customized marketing plans. These advanced technologies, fundamentally utilizing big data and data mining methods to analyze customer data, offer businesses strategic advantages in competitive markets. The contributions of machine learning and AI to CRM software play a crucial role, especially in customer segmentation, customer lifecycle analysis, and the implementation of upselling and cross-selling strategies. Moreover, these technologies allow for faster and more efficient analysis of customer complaints and feedback, enabling businesses to develop proactive solutions aimed at increasing customer satisfaction. Within the framework of machine learning and AI, the data analysis capacity of CRM software has been enhanced, providing deep insights into customer-business interactions and automating business processes (BPA), particularly in marketing. The primary objective of this study is to examine in detail the impact of AI and machine learning integrations on customer analysis in CRM software. Specifically, the study will explore the role of AI and machine learning in increasing customer loyalty, predicting customer behavior, and personalizing customer interactions. The contribution of these technologies to the development of customer-centric strategies by businesses will be assessed. By analyzing the effects of machine learning and AI on customer segmentation, customer lifecycle management, and data-driven marketing strategies, this study will investigate how these integrations have driven transformative changes in CRM software.