AI Ticket Tagger by Labelf is an app that enables you to train the best AI language models to tag and categorize your tickets. Any categorization that you do manually today can be automated with a few clicks. You can import your historic data and create a model on a ticket field or tags that you have previously filled in manually, or you can create a new model on your historic data to categorize/tag based on something new.
For example, if you are an online retail company and want to identify the tickets that talk about a product so that you can answer them as fast as possible and increase conversion, you can create a model that would recognize and tag such tickets with 'urgent' using the Labelf platform, and then activate it Zendesk using this app.
A different example would be a customer support for a teleco which today categorizes their support tickets into five categories using a ticket field: 'phone', 'internet', 'complaints', 'invoices', 'order'. They can train an AI on the historic data for that ticket field in just minutes and then activate the AI so that categorization and distribution into different views based on this category can happen automatically. You can activate the model for all future tickets in the app, but also run through your backlog or historic tickets, for example if you want better insights.
A different example would be a customer support for a teleco which today tags their tickets with different ticket tags, for example 'urgent', 'angry', 'shipping accident'. They can train an AI on the historic data for all ticket tags in just minutes and then activate the AI so that their incoming tickets are tagged the same way as they have been historically by agents.
The AI model you train on Labelfs platform will work in over 100 languages, even if the historic data you trained on is only in one language. This enables geographical expansion across countries without changing a thing.
Labelf AI is a Swedish company based in Stockholm. We create AI heroes by removing the barriers for AI implementation. Read more at labelf.ai.