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
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
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).
