International Journal of Contemporary Research In Multidisciplinary, 2025;4(4):134-143
Empowering CRM with AI: Unlocking New Opportunities and Challenges for Business Growth
Author Name: Amit Yadav; Dr. Sachin;
Abstract
Recent years we have seen a huge change in business-customer interactions as Artificial Intelligence (AI) has been incorporated into Customer Relationship Management (CRM) systems. This paper explores the transformative impact of AI on CRM, highlighting key areas where AI-driven technologies enhance customer engagement, streamline operations and boost overall efficiency. AI-powered tools such as chatbots, predictive analytics and personalized marketing algorithms enable businesses to deliver more responsive and tailored customer experiences. The adoption of machine learning and natural language processing technologies facilitates real-time customer insights, enabling proactive issue resolution and fostering stronger customer loyalty. Artificial Intelligence (AI) is having a big impact on how companies run and engage with their clientele as a result of its incorporation into CRM systems. AI-powered CRM platforms are gaining popularity; according to The Business Research Company, the global AI in CRM market is projected to expand from $8.09 billion in 2024 to $11.04 billion in 2025. Businesses' need to boost customer satisfaction, increase operational effectiveness, and obtain a competitive edge is what is driving this expansion. Additionally, AI-driven automation reduces the burden of routine tasks on customer service teams, allowing them to focus on more complex and value-added interactions. This study underscores the importance of integrating AI into CRM strategies to remain competitive in an increasingly digital and customer-centric marketplace. The findings suggest that businesses leveraging AI in CRM not only enhance customer satisfaction but also achieve significant improvements in operational efficiency and revenue growth.
Keywords
Artificial Intelligence (AI), Customer Relationship Management (CRM), Machine Learning, Customer Experience, Customer Engagement