Webhook → Classification → Sentiment → Routing → Database

Support teams manually triage 50–200 tickets per day, causing slow response times and inconsistent routing.

An automated support ticket pipeline that classifies, prioritizes, summarizes, and routes tickets instantly.

Multi-class ticket classification

Urgency & sentiment detection

Automatic team routing

Manager-ready ticket summaries

Persistent ticket logging with confidence scores

Python

FastAPI

Rule-based NLP (LLM-ready)

SQLite (Postgres-ready)

Slack-ready routing logic

~60% faster first response time

Consistent routing

Reduced support workload

Architecture is LLM-provider agnostic and can be upgraded to Claude/OpenAI in production.