Autors: Hrischev, R. N., Shakev, N. G.
Title: Artificial intelligence in ERP systems
Keywords: Artifactual Intelligence AI, ERP systems, SAP BTP

Abstract: The article presents a study of the implementation of AI in ERP systems. In recent years, with the digitization of manufacturing and the globalization of the economy, the implementation of ERP systems has become a necessary condition for the effective functioning of the industry. Developers of ERP systems are using AI as a tool for functionality optimization. SAP Business Technology Platform is a modern cloud based intelligent business management platform, a next-generation ERP system, that helps achieve business results through integration and embedded tools with Artificial Intelligence. The article presents investigation of the embedded applications with AI elements in SAP BTP. The main functionalities with built-in AI in modern ERP systems are presented.



    "Engineering Sciences", Journal of the Bulgarian Academy of Sciences, issue 1, pp. 3-15, 2023, Bulgaria, ISSN: 1312-5702; е-ISSN: 2603-3542, DOI: 10.7546/EngSci.

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    Цитирания (Citation/s):
    1. Jawad, Z. N., & Balázs, V. (2024). Machine learning-driven optimization of enterprise resource planning (ERP) systems: a comprehensive review. Beni-Suef University Journal of Basic and Applied Sciences, 13(1), 1-13. - 2024 - от чужди автори в чужди издания, неиндексирани в Scopus или Web of Science

    Вид: публикация в национален форум