AI and Supply Chain Optimization: Reducing Errors in ERP Systems

The integration of Artificial Intelligence (AI) in supply chain management represents a transformative shift aimed at enhancing operational efficiency and precision. This study investigates the role of AI in optimizing supply chain processes, particularly focusing on its impact on Enterprise Resource Planning (ERP) systems and the reduction of errors inherent in traditional management methods.Supply chains are complex networks that require real-time data processing and accurate forecasting to function effectively. ERP systems serve as the backbone of these networks, facilitating seamless integration across various business functions. However, many organizations face challenges such as data entry errors, integration issues, and inefficiencies that hinder performance. This research delineates how AI technologies—such as machine learning, predictive analytics, and natural language processing—can address these challenges by improving data accuracy, enhancing demand forecasting, and optimizing inventory management.The paper presents a comprehensive literature review to contextualize the current state of AI applications in supply chain optimization. It further examines case studies where organizations have successfully implemented AI solutions to minimize errors in ERP systems, illustrating the tangible benefits of increased precision and operational agility. Key findings highlight that AI not only reduces human error through automation but also empowers decision-makers with actionable insights derived from real-time data analysis.Despite the promising potential of AI, the study also discusses significant challenges, including implementation costs, organizational resistance, and data privacy concerns. These barriers necessitate a strategic approach to AI adoption, emphasizing the importance of training, change management, and robust data governance frameworks.In conclusion, this research underscores the critical need for organizations to embrace AI-driven strategies within their supply chain operations. By leveraging advanced technologies, companies can enhance their ERP systems, reduce operational errors, and ultimately achieve a competitive advantage in an increasingly dynamic market landscape. The findings contribute to the growing body of knowledge in supply chain management and provide actionable recommendations for practitioners seeking to navigate the complexities of AI integration.