Observational analysis reveals improved logistics efficiency and cost reduction through AI in ERP systems.
This paper investigates the significant role of Enterprise Resource Planning (ERP) systems in facilitating effective business operations management, especially within logistics and supply chain management. It highlights the limitations of traditional ERP systems, which often lack the capacity for real-time decision-making and responsive logistics planning. By focusing on integrating AI-powered dynamic routing, the study illustrates how real-time data analytics, machine learning, and predictive modeling can elevate ERP functionalities. The research aims to demonstrate the benefits of implementing AI-driven dynamic routing within ERP frameworks to enhance supply chain efficiency, minimize operational costs, and strengthen organizational resilience in disruptions.
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Sanjay Vijay Mhaskey (2025) studied this question.
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