Ticket Classifier
Route and prioritize tickets instantly
Automatically classify inbound support tickets by category, priority, and sentiment, then route them to the right team queue. Eliminates manual triage, ensures SLAs are met, and gives support managers real-time visibility into ticket distribution.
Gemini 1.5 Flash
for 300K Token/Monat · 85% Eingabe / 15% Ausgabe
WARUM DIESES MODELL?
Gemini 1.5 Flash is purpose-built for high-throughput, low-latency workloads — exactly the profile of a production support chatbot handling millions of daily queries. Its speed and cost efficiency mean you can deploy it at scale without routing economics becoming a barrier.
ALTERNATIVE MODELLE
IMPLEMENTIERUNGSTIPPS
- 1
Use structured JSON output mode and define your taxonomy up front — the model is far more consistent when it picks from a fixed enum of 10–15 categories than when it invents its own.
- 2
Run batch processing overnight for non-urgent historical ticket classification, saving 50% on API costs compared to synchronous classification.
- 3
Include a 'reasoning' field in your JSON schema asking the model to explain its classification — this gives your team an audit trail and helps you catch systematic misclassifications.