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Intelligent ERPs: Generative AI’s Impact on Operational Efficiency of I-ERP Systems in Large Organizations
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Resumo(s)
This thesis explores the integration of Generative Artificial Intelligence (GEN AI) into Enterprise
Resource Planning (ERP) systems to enhance decision-making and automation. ERP systems
have played a crucial role in helping organizations manage and streamline their business
processes since the 1990s. However, with the continuous evolution of technology, particularly
in AI, there is growing potential for GenAI to revolutionize ERP functionalities by reducing
manual workloads, improving accuracy, and increasing adaptability across business modules.
The primary objective is to present a strategy to integrate the technologies previously
mentioned. To do that, this research will culminate with the design and evaluation of
architecture that incorporates GEN AI into existing ERP systems. A comprehensive literature
review was conducted to investigate the current state of ERP and I-ERP (Intelligent ERP), as
well as practical use cases and capabilities of GenAI. Based on this foundation, the architecture
was built, displaying how GenAI tools - such as large language models and agentic AI - can be
integrated into traditional ERP modules. The methodology followed the principles of Design
Science Research, including the development of an artifact and a validation phase involving
domain experts who provided feedback via structured surveys. Results indicated that while
the solutions proposed are technically feasible and valuable, they often reflect current
possibilities rather than radically innovative advancements, nonetheless, contributing to
bridge the gap between traditional ERP systems and future-ready intelligent platforms by
illustrating viable paths for GenAI adoption.
Descrição
Dissertation presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Business Analytics
Palavras-chave
Enterprise Resource Planning systems Generative Artificial Intelligence Artificial Intelligence