Seamless ERP Integration: Optimizing Usability and User Experience through AI-enhanced Systems

Authors

  • Junaid Raza Department of Computer Science, University of Malashiya, Asia Author

Keywords:

Enterprise Resource Planning (ERP), usability, user experience, Artificial Intelligence (AI), integration, machine learning, natural language processing, predictive analytics

Abstract

Seamless integration of Enterprise Resource Planning (ERP) systems is crucial for optimizing usability and enhancing user experience in modern business environments. Traditional ERP systems often struggle with usability issues due to complex interfaces and fragmented functionalities. This paper proposes leveraging Artificial Intelligence (AI) technologies to enhance ERP systems, thereby improving usability and user experience. AI-driven solutions offer intelligent automation capabilities, enabling ERP systems to adapt to user preferences and streamline processes. This research focuses on exploring AI techniques such as machine learning, natural language processing, and predictive analytics to enhance ERP usability. By analyzing user interactions and patterns, AI algorithms can personalize user interfaces, simplify navigation, and automate repetitive tasks, leading to a more intuitive and efficient user experience. Additionally, AI-powered ERP systems can provide real-time insights and predictive recommendations, empowering users to make data-driven decisions swiftly. Through case studies and empirical analysis, this paper demonstrates the benefits of AI-enhanced ERP integration in various industries. The findings highlight significant improvements in productivity, accuracy, and user satisfaction. Ultimately, integrating AI into ERP systems offers a transformative approach to optimize usability and elevate user experience, driving organizational efficiency and competitiveness in the digital era.

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Published

2023-06-30