Predicting Insurance Underwriting Performance Using Digital Technologies

The introduction of digital technologies in the insurance sector is revolutionizing underwriting methodologies, facilitating improved risk assessment and promoting financial sustainability. This study uses the ARIMA (AutoRegressive Integrated Moving Average) analytical framework to forecast insurance underwriting performance, with a special focus on the export-import insurance organization Uzbekinvest. Using historical data sets spanning the period from 2017 to 2023, the ARIMA model provides forecasts regarding upcoming underwriting requirements, thereby helping the organization anticipate workforce needs and improve its risk management apparatus. The results show a consistent escalation in underwriting operations from 2024 to 2027, driven by increasing demand for insurance reserves along with the integration of digital innovations. The accuracy of the ARIMA model highlights its usefulness in forecasting upcoming trends, providing insurers with a reliable approach to resource allocation and maintaining financial sustainability. This study highlights the importance of implementing digital technologies and econometric forecasting methodologies in the insurance industry to improve decision-making processes, ensure sufficient resources for potential claims and improve overall operational efficiency.