1 Sachin Chawahan, 2 M Mahishree, 3 M Pal Dinakar, 4 E Rishwan, 5 A Venkatesh 03 09 The Insurance Claims Trend Analysis system is a data analytics and visualization platform designed to help insurance organizations monitor analyze and understand patterns in insurance claims Insurance companies process a large number of claims related to health vehicles property travel and other insurance products Analyzing historical claims data can help organizations understand claim volumes costs processing times and changing trends The proposed system collects insurance claim information such as claim ID policy type claim date claim amount claim status location claim category processing time and other relevant business information The system processes the collected data and calculates important indicators such as total claims approved claims rejected claims total claim amount average claim amount and claim settlement rate The dashboard presents the analyzed information using interactive charts graphs tables and Key Performance Indicators KPIs Insurance managers can compare claims across different policy types regions claim categories and time periods Filters allow users to select specific dates claim types locations or statuses for detailed analysis The system can identify changes in claim volume claim amounts rejection rates and settlement times Trend analysis can help insurance organizations identify periods with unusually high claim activity and understand how claim patterns change over time The system can also support operational planning by highlighting areas that may require additional investigation or resources Overall the Insurance Claims Trend Analysis system provides a centralized and userfriendly platform for transforming raw claims data into meaningful business insights It reduces manual reporting efforts and supports datadriven insurance operations Future enhancements can include fraudpattern detection claimcost forecasting anomaly detection automated alerts AIassisted document analysis and predictive analytics subject to appropriate validation and human review Copyright (c) Journal of Science Engineering Technology and Management Science. All rights reserved 2026