Integration of Artificial Intelligence in Pharma Customer Relationship Management (CRM)

DOI: https://doi.org/10.63345/ijrmp.org.v9.i4.1

Suresh Menon

Karnataka, India

Abstract

The rapid advancement in artificial intelligence (AI) has revolutionized numerous industries, and the pharmaceutical sector is no exception. This manuscript explores the integration of AI within Pharma Customer Relationship Management (CRM) systems. By leveraging machine learning algorithms, natural language processing, and big data analytics, pharmaceutical companies are now capable of personalizing interactions, predicting customer behavior, and optimizing marketing efforts with unprecedented precision. The study systematically reviews literature up to 2019, outlines the methodologies employed in integrating AI into CRM, analyzes practical outcomes, and discusses the implications for future strategic directions. Results indicate significant improvements in customer segmentation, engagement, and overall satisfaction, while also highlighting challenges such as data privacy concerns, integration complexities, and the need for continuous system updates. The manuscript concludes by discussing potential future advancements, scope for scalability, and limitations inherent in current AI-driven CRM approaches.

Keywords

Artificial Intelligence, Pharma CRM, Machine Learning, Natural Language Processing, Customer Segmentation, Data Analytics

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