This solution automates the classification and routing of player feedback at scale. It helps game platforms and studios react faster to user needs and to detect issues. The system uses Large Language Models (LLMs) to extract insights, classify the feedback on relevant topics such as themes, sentiment, developer team, etc. Built on AWS services such as AWS Bedrock and AWS Lambda. Feedback is routed to the right game studios or internal teams, with fallback logic for ambiguous cases. The architecture supports real-time processing, large-scale feedback volumes, and multi-game platforms. This reduces response times, improves product quality, and provides developers with actionable insights.