In our earlier article, we explored the reference app released by Microsoft for Document Automation using the Form Processing model of AI Builder. The app that is a ready-to-use sample app demonstrates the process of reading the form submitted through email and extracting the data submitted in the form and presenting it to the users in a Power Apps Canvas App for further manual verification and processing by the users. In this part, we will use the flows to not only extract the data submitted using the form but also go ahead and automate the process for verifying the submissions if the confidence score returned is on the higher side. Note: At the time of writing the blog this feature is not available in all regions. We have used an environment in the US region (.crm) for the purpose of this article.

AI Builder prediction models now support a preview capability to predict a number. Now you can use AI builder intelligence to predict things like product ratings, price estimates, time to completion, and so on. In this post, we demonstrate how numerical prediction works by building an example of an end to end scenario where we'd use AI Builder to help an online business to optimize purchase conversion rate. Let's say our online business is quite competitive, and there's a need to improve purchase conversion. How can we increase the percentage of customers visiting our website who then make a purchase?