Solve business problems with AI Builder category classification
AI Builder category classification provides organizations with a tool that analyzes text and helps determine the different subjects that it relates to and that can support automation processes. Multiple scenarios can benefit from this classification.
First scenario: Customer reviews
A rental cottage owner posts pictures and services that are available for short-term renters on multiple social media channels. When vacationers check out after their stays, the cottage owner invites them to post pictures and comments on the property's website.
The cottage owner notices that even with the link provided, many customers leave reviews on different channels than the website. Wanting to build a positive reputation, based on the highest possible number of customer reviews, the owner creates an automated process that monitors the most visible social media sites and vacation review forums and then captures all posts that relate to the rental property.
Then, the cottage owner categorizes the messages. The categories will allow the owner to filter on those messages that are considered compliments. When the messages have been reviewed, the owner will add the references on their website where new potential visitors can see the positive references.
Second scenario: Forum moderation
A community forum moderator has received complaints about messages that are intended for a mature audience. The messages should be classified clearly so that visitors get warning notifications when they navigate to such message threads.
When messages are originally posted, they're put in a verification queue. The categorization of the text helps determine when an extra warning should be included with the message after it's been published in the forum.
Third scenario: 360 employee feedback
In the current competitive market, employee satisfaction is a key influencer to maintain a high retention level. A telecom corporation plans to promote a praise station where employees, managers, and customers can anonymously submit feedback about their experience with different members of the staff with whom they interact.
The human resources (HR) department that's responsible for this initiative has tested the praise station at only a few retail locations and local offices. They've concluded that the high level of participation would require automated processing of the messages before launching this initiative nationwide.
The HR department classifies the reviews in categories, such as issues, complaints, and bad service, so that they can ensure that negative or prejudicial reviews aren't forwarded directly to the targeted employees and are analyzed by a supervisor.
Now that you've learned how different scenarios can be resolved by using AI Builder category classification, you'll learn how to build a custom model and then use it in Microsoft Power Automate.