Towards Intelligent ERPs: Transforming Decision-Making through Information Retrieval

Abstract

Enterprise Resource Planning (ERP) systems play a crucial role in the management of modern organizations. However, traditional ERPs, primarily designed to automate transactional tasks, often fail to meet the growing need for real-time data analysis required for effective strategic decision-making. This study explores the integration of advanced technologies into ERPs to transform them into intelligent decision-making tools.

The methodological approach is based on an in-depth analysis of scientific literature, industry reports, and case studies to assess the benefits, impacts, and challenges associated with this transition. The results highlight significant strategic advantages, such as improved data-driven decision-making, optimized internal process management, and increased responsiveness to market changes. However, major challenges remain, including data security, implementation costs, and organizational resistance to change.

The integration of advanced research and analysis capabilities into ERPs represents a significant breakthrough, transforming these systems into intelligent platforms capable of supporting agile and informed decision-making. This work contributes to a better understanding of intelligent ERPs and paves the way for future research aimed at overcoming identified challenges while leveraging their strategic potential in an ever-evolving digital environment.