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Configure variable

 

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Prerequisites

  • Access to the Chatbot (CB001) menu.
  • Content-type chatbot previously created.

 

Overview

Variables in the Content chatbot allow storing information provided by the user or returned by integrations during the conversation.

These values can be reused in messages, menus, attachments, integrations, and at any point in the conversational flow.

Using variables makes the chatbot more dynamic, personalized, and capable of interacting contextually, adapting content based on user responses or external data received.

See below how to configure variables in a Content chatbot:

 

Configure variable

1. Access the Chatbot (CB001) menu.

2. Locate and open the Content-type chatbot in edit mode.

3. In the upper-right corner, click Variables.

4. Click Add to create a new variable.

5. Fill in the following fields:

  • Identifier.
  • Name.
  • Type: select between Text, Number, Decimal, or Date.

6. Click Save to register the variable.

To edit or delete an existing variable, click the More option in the Actions column.

 

 

Use of variables in message types

Text

A Text message can wait for user input and store the response in a previously registered variable.

This functionality is used to collect information such as name, code, identification number, dates, or any textual data typed by the user during the conversation.

 
 

Attachment

When configured to receive files, an Attachment message can wait for a file sent by the user and save it in an appropriate variable.

 
 

Workflow integration

A Workflow Integration message allows sending the values stored in variables to a process in the system and, after the action is executed, receiving return information that can also be stored in variables.

 
 

External integration

An External Integration message uses stored variables as parameters in the call and can save the API’s returned data into variables.

 
 

 

Conclusion

Variables allow capturing responses, processing information, feeding integrations, and building dynamic interactions with users.

They help create smarter and more personalized conversational flows within the Content chatbot.


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