Predict Tech E-commerce Intent V1

This action is used to predict the intent of an e-commerce customer request.

This includes tech products businesses. For apparel and perishable goods or subscription based businesses, please use the appropriate action.

To see the list of all supported intents, click here.

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The Hieararchy AI model
This action implements a hierarchy architecture that goes through 2 layers of AI Models. The first model will predict the general category of the request (returns, quality issue, miscellaneous, account...) and the second AI model will predict the intent, a more granular prediction.
Sometimes, the AI will not be confident enough to predict a category or an intent.

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Preprocessing & Language Detection
the AI will automatically detect the language of the message and will clean the input customer message from any particular formatting (Email chains, HTML, URLs, special characters...) so you don't have to do it in the flow before using the action.

Inputs

Input	Type	Description
Region	String	Server region you can find in the url (us or eu)
DG Api Key	String	Read here
Secret	String	Read here
Message	String	Customer request

Outputs


Intent	String	Predicted intent in the format "Category :: Intent", if AI was not confident enough to predict an intent, this field will display Category
Category	String	Predicted Category
Intent Found	Boolean	True / False
Category Found	Boolean	True / False
Language	String	Predicted language code, ISO 639-1 format (en, fr, nl...)
AI Text	String	Message after AI preprocessing
Success	Boolean	True / False, whether API call was successful or not
Status Code	Integer	REST API status code, success is 200
Tag	String	Tag of the predicted intent that you can add on the ticket
Intent2	String	The AI too can be confused sometimes, this is a second high probability prediction. It doesn't appear often but you can use this one for messages with multiple requests for example
Tag2	String	Tag of intent2
Insights	Object	Insights of the prediction with preprocessing steps