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AI use case · Customer experience

Trouble Ticket Auto-Classification & Routing

Support tickets submitted via multiple channels are manually triaged and routed to teams — a slow, inconsistent process that increases resolution time and creates misrouted tickets that bounce between teams.

NLP ClassificationMulti-label Text Classification
LowBusiness priority
Customer experienceDomain
4Main data sources

The problem

Support tickets submitted via multiple channels are manually triaged and routed to teams — a slow, inconsistent process that increases resolution time and creates misrouted tickets that bounce between teams.

The AI approach

NLP classification models automatically categorise each ticket by issue type, impacted service and urgency from free-text description. Auto-route to the most appropriate resolver team with confidence scoring. Escalation rules for low-confidence assignments.

How it works

  1. 1
    Read

    Read the ticket text and attachments.

  2. 2
    Classify

    Predict category, priority and likely cause.

  3. 3
    Route

    Send it to the right team with similar past tickets.

  4. 4
    Learn

    Use agent corrections to improve.

Data it uses

Ticketing SystemCRMOrder ManagementCustomer Demographic Data

How to measure value

Practical tips

Standards & references

Data governanceUse governed, consented data only
Responsible AIExplainable, monitored, human-in-the-loop

Related pages

This page describes generic industry practice and public standards. It is not based on, and does not describe, any particular vendor's product or operator's systems.