A review on next generation ERP in era of AI and ML implementation frameworks

Abstract

With the rapid evolution of AI and machine learning models, there is a growing need of using AI and ML in business decision making and other enterprise use cases. This paper proposes a comprehensive review of the most recent major research advancements in the field of AI and ML integration with Enterprise Resource Planning platforms to increase efficiency, it also explores the key drawbacks or limitations of the research methodology so far. This paper compiles a list of major research gaps and aims to fill some of them by presenting a new AI/ML powered ERP system architecture or framework based on microservice architecture for loose coupling, enhanced scalability, faster deployment times and increased agility. This architecture allows applications to run as small, independent services which provides flexibility in technology choices and features and makes it easier to be maintained by a small team of developers.