SYSTEM AND METHOD FOR DYNAMIC GROUPING AND RESOLUTION OF CORRELATED TROUBLE TICKETS IN A NETWORK SERVICE ENVIRONMENT

Abstract

Proposed herein is a system that enables an operations platform to automatically detect, group, and resolve multiple trouble tickets that stem from a single underlying network or service issue. For each new ticket, the system builds a composite representation that combines semantic content with structured attributes and topology context, then compares it against recent tickets within sliding time windows to identify correlated incident groups. When such a group is identified with sufficient confidence, the platform runs a single, group-level troubleshooting and remediation workflow targeting the shared dependency and propagates the resulting root cause, actions, and resolution status back to all member tickets, closing them efficiently while continuously refining correlation behavior over time