Empowering Manufacturing: Generative AI Revolutionizes ERP Application


Authors : Sridhar Mahadevan

Volume/Issue : Volume 9 - 2024, Issue 3 - March

Google Scholar : https://tinyurl.com/5n8ah7wj

Scribd : https://tinyurl.com/3hhekk5w

DOI : https://doi.org/10.38124/ijisrt/IJISRT24MAR577

Abstract : This article delves into the transformative implications of integrating state-of-the-art Generative AI technologies into Enterprise Resource Planning (ERP) applications within the manufacturing industry. With the manufacturing landscape experiencing rapid evolution, there is a growing imperative for adaptive and intelligent systems to optimize efficiency, productivity, and decision- making processes. Through the exploration of Generative AI's natural language processing capabilities, this article unveils a new frontier in smart manufacturing, where ERP systems are empowered to redefine conventional paradigms and catalyze innovation. Furthermore, this article examines Generative AI's impact on supply chain management, leveraging its capacity to process extensive textual data for enhanced demand forecasting, inventory optimization, and risk management. This enhances the adaptability and resilience of manufacturing ecosystems, enabling them to navigate dynamic market conditions with agility.

Keywords : GenAI, Natural Language Processing; Smart Manufacturing; Enterprise Resource Planning (ERP).

This article delves into the transformative implications of integrating state-of-the-art Generative AI technologies into Enterprise Resource Planning (ERP) applications within the manufacturing industry. With the manufacturing landscape experiencing rapid evolution, there is a growing imperative for adaptive and intelligent systems to optimize efficiency, productivity, and decision- making processes. Through the exploration of Generative AI's natural language processing capabilities, this article unveils a new frontier in smart manufacturing, where ERP systems are empowered to redefine conventional paradigms and catalyze innovation. Furthermore, this article examines Generative AI's impact on supply chain management, leveraging its capacity to process extensive textual data for enhanced demand forecasting, inventory optimization, and risk management. This enhances the adaptability and resilience of manufacturing ecosystems, enabling them to navigate dynamic market conditions with agility.

Keywords : GenAI, Natural Language Processing; Smart Manufacturing; Enterprise Resource Planning (ERP).

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