MACHINE LEARNING FOR CUSTOMER RETENTION IN E-COMMERCE HEALTHCARE STARTUPS

Abstract

The rapid growth of e-commerce in the healthcare sector has revolutionized how consumers access medical products and services. However, customer retention remains a significant challenge for e-commerce healthcare startups due to high competition and evolving consumer expectations. Machine learning (ML) provides an effective solution by leveraging data-driven insights to enhance customer engagement and improve retention strategies. This research paper explores the role of ML in customer retention, examining predictive analytics, personalized marketing, sentiment analysis, and recommendation systems. Furthermore, it discusses the challenges associated with ML implementation and suggests future research directions to optimize customer retention strategies in e-commerce healthcare startups.