Author : Diwakar Dwivedi

Enterprise Resource Planning or ERP systems occupy a rather central place among the key technologies that manage modern business and improve production processes. Enterprise Resource Planning (ERP) systems are the subject of this investigation, with an emphasis on the rising popularity of cloud-based ERP solutions and the difficulties associated with their implementation. The incorporation of cutting-edge technology like blockchain, IoT, and AI is a major step forward since it improves data analytics, SCM, and real-time insights. However, the transition to cloud ERP comes with challenges such as limited customisation, data security risks, compliance with regulatory requirements, and dependency on reliable network infrastructure. The work highlights the benefits of cloud ERP—lower upfront and operating costs, improved scalability, rapid updates, and better accessibility—while addressing the drawbacks like subscription expenses, integration complexities, and potential loss of control and IT knowledge. With growing adoption and future projections indicating substantial market growth, the evolution of cloud ERP presents opportunities and hurdles that organisations must navigate for effective implementation and sustainable use.

Keywords: Enterprise Resource Planning (ERP), Artificial Intelligence (AI), Machine Learning, Predictive Analytics, ERP Models, Future Trends in ERP Development.