Classifying and Tagging Content Automatically
Sorting incoming items — emails, tickets, documents or products — into the right categories is tedious by hand and easy to get wrong when volumes are high. AI can do it consistently and at speed once it is set up properly.
This article explains how automatic classification works, where it earns its keep, and the limits you should plan around.
Typical Uses
Almost any business that handles a steady stream of incoming items has somewhere classification can help.
- Routing support tickets to the right team.
- Tagging articles or products for search.
- Prioritising messages by urgency.
- Flagging content that needs review.
Getting It Right
Clear, well-defined categories are essential — if people disagree on where something belongs, the AI will too. Start with a small set of distinct categories and expand carefully. Overlapping or vaguely defined categories are the most common reason classification projects disappoint.
Handling Uncertainty
No classifier is right every time, so plan for the cases it is unsure about rather than pretending they will not happen.
- Let the system mark low-confidence items.
- Route those to a person to decide.
- Use their decisions to improve accuracy.
Frequently Asked Questions
How accurate is automatic tagging?
With clear categories it is often very good, but accuracy depends heavily on how distinct your categories are and the quality of your examples.
If you need a hand with any of this, your Progressive Robot delivery team is ready to help. Raise a ticket from the Support area of your client portal or speak to your account manager and we will guide you through the next steps.