
The convergence of machine learning and real-time data processing has fundamentally transformed how global organizations navigate the logistical complexities of a post-pandemic economic landscape. This shift represents a transition from traditional Enterprise Resource Planning systems, which functioned primarily as passive repositories for historical data, to sophisticated cloud-native platforms that act as systems of active intelligence. By integrating manufacturing processes, inventory










