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The findings indicate that organizations integrating explainable AI mechanisms into supply chain analytics are better positioned to achieve transparency, regulatory compliance, and collaborative decision-making.
A conceptual framework is proposed to illustrate the integration of customer behavioral characteristics, policy attributes, and advanced machine learning models into an intelligent decision-support system for claim prediction, highlighting the importance of explainable AI, continuous model monitoring, and human-in-the-...
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