Use cases

In this post we are creating a simple system for combating toxic behavior in game chats. We use Labelf to train an AI to recognize toxic as well as helpful players.

Use cases

Not knowing whats in your tickets beforehand can risk your ability to convert sales leads by letting them wait in an ordinary support queue. If we could route and prioritize potential customers and upsell situations to our best performing individuals for sales we stand to gain a nice potential gain in revenue.

Use cases

Incoming support ticket requests can also be seen as an analytics goldmine for data driven decision making. People that are having to reach out to you for the same problem multiple times are at risk for leaving - they are also costing you the extra time spent in additional support cases.

Guides

This blogpost contains video tutorials for four different use cases on the Labelf Platform