Imagine that you've built an order management app using Creator, and you want to share the expected delivery date with your customers. From experience, you know that the time it takes for an order to be delivered is influenced by factors such as the type of product being ordered (a refrigerator may take more time than a TV to be delivered), the number of units being ordered (quantity), who the delivery partner is (some partners would be prompt, some may be delayed a little intermittently). Here's how you would use the prediction field in this case:
As its value is estimated by the AI, the prediction field will appear disabled on your form, which indicates to your users that they cannot enter an input in it.
Field types that can be selected as the target and predictor field: number, decimal, percent, currency, drop down, radio, date, date-time, lookup (single-select), and users.
Prediction relies on a substantial amount of data. The AI analyzes your data and "learns" from it to build the model. This model is the one that will predict the field value for all future records. The presence of a large number of records will help the AI to build a more reliable model.
When you add a prediction field to your form, you'll have to define the training data set (the records that the AI will analyze and learn from to create the predictive model). Once the training set is identified, it cannot be changed. However, the prediction model can be retrained.
The status of the model will be reflected in the prediction field's Field Properties:
Learn how to use the best tools for sales force automation and better customer engagement from Zoho's implementation specialists.
If you'd like a personalized walk-through of our data preparation tool, please request a demo and we'll be happy to show you how to get the best out of Zoho DataPrep.
You are currently viewing the help pages of Qntrl’s earlier version. Click here to view our latest version—Qntrl 3.0's help articles.