Maximizing the Potential of Machine Learning in Enterprise Resource Planning Applications: A Comprehensive Analysis
Abstract
The integration of Machine Learning (ML) in Enterprise Resource Planning (ERP) applications has opened new avenues for operational efficiency and data-driven decision-making. This paper offers an extensive examination of the effective utilization of ML in ERP systems. Through a comprehensive analysis, it explores practical applications, benefits, challenges, and future prospects. From predictive analytics optimizing supply chains to anomaly detection enhancing quality control, this research delves into how ML empowers enterprises to harness the full potential of their ERP solutions.
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