Enhancing Agent Interactions and Decision-Making in Insurance with Intelligent Technologies
Keywords:
Insurance Industry, Agent Interaction, Decision Analytics, Risk Assessment, Customer Engagement, Predictive ModelsAbstract
The insurance sector is increasingly leveraging advanced technologies to enhance agent-client interactions and enable data-driven decision-making. This study demonstrates how sophisticated algorithms and data analysis tools improve communication, optimize processes,and deliver precise outcomes in underwriting, claims management, and risk assessment. The results reveal that Gradient Boosting Machines (GBM) achieved superior performance with a customer need prediction accuracy of 92.5%, policy recommendation precision of 91.8%, fraud detection integration success of 94.2%, and risk assessment efficiency of 93.7%, surpassing Random Forest (RF) across all metrics
References
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