AN INTEGRATED FRAMEWORK OF MACHINE LEARNING, INTERNET OF THINGS, AND CUSTOMER RELATIONSHIP MANAGEMENT FOR DATA-DRIVEN BUSINESS MANAGEMENT

Abstract

In today's world of data-centric decision-making, enterprises are progressively using integrated frameworks that amalgamate Machine Learning (ML), the Internet of Things (IoT), and Customer Relationship Management (CRM) to optimize operations and improve customer engagement. This study examines the revolutionary possibilities of integration, emphasizing real-time data analytics, predictive modeling, and tailored consumer interactions. The suggested framework utilizes sophisticated technologies, including edge computing, natural language processing, and blockchain for security, to tackle obstacles such as fragmented data systems, decision-making delays, and interoperability concerns. Case examples illustrate substantial enhancements in operational efficiency, customer happiness, and competitive advantage. This study emphasizes the essential function of ML-augmented CRM systems in utilizing IoT data streams for actionable insights, hence transforming corporate management methods. This research identifies existing limits and proposes creative solutions, offering a path for enterprises seeking seamless integration and optimal value from their data ecosystems.