Connect Botbiz and V7 Go to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Botbiz
Choose an Action
Automatically do this!
Create Project
Create a New Session
Delete Project
Update Project
Create an export
Delete an Export
Enable Integrations or automations with these events of Botbiz and V7 Go
Enable Integrations or automations with these events of Botbiz and V7 Go
Actions
Send Template Message
Send template WhatsApp message to any mobile number.
Get Conversation
Get Conversation of particular subscriber.
Send WhatsApp Message
Send WhatsApp message to any mobile number.
Create Subscriber
Create a Subscriber/Contact.
Assign Labels To Subscriber
Assign multiple labels to Subscriber.
Get Subscriber
Get Subscriber Using subscriber Phone Number.
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Frequently Asked Questions
To start, connect both your Botbiz and V7 Go accounts to viaSocket. Once connected, you can set up a workflow where an event in Botbiz triggers actions in V7 Go (or vice versa).
Absolutely. You can customize how Botbiz data is recorded in V7 Go. This includes choosing which data fields go into which fields of V7 Go, setting up custom formats, and filtering out unwanted information.
The data sync between Botbiz and V7 Go typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between Botbiz and V7 Go. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.
About Botbiz
Botbiz is a platform that specializes in creating and managing chatbots for businesses. It offers tools and services to design, deploy, and optimize chatbots for various customer interaction needs, enhancing customer support and engagement.
Learn MoreAbout V7 Go
V7 Go is a cutting-edge platform designed for AI-driven image and video annotation, streamlining the process of training machine learning models. It offers advanced tools for data labeling, management, and collaboration, making it an essential resource for developers and data scientists working on computer vision projects.
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