Connect Odoo and V7 Go to Build Intelligent Automations
Choose a Trigger
When this happens...
New Lead
Choose an Action
Automatically do this!
Create Project
Create a New Session
Delete Project
Update Project
Create an export
Delete an Export
Ready to use Odoo and V7 Go automations
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Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Lead
Triggers when a new lead is created.
Do thisActions
Action is the task that follows automatically within your Odoo integrations.
Create Lead
Create a new lead in odoo crm.
Create Project
Creates a new project.
Create a New Session
Create a new session
Delete Project
Delete a project.
Update Project
Update a project .
Create an export
Creates a new export
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Frequently Asked Questions
To start, connect both your Odoo and V7 Go accounts to viaSocket. Once connected, you can set up a workflow where an event in Odoo triggers actions in V7 Go (or vice versa).
Absolutely. You can customize how Odoo 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 Odoo 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 Odoo 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 Odoo
Odoo is a comprehensive suite of open-source business applications that covers all your company needs: CRM, eCommerce, accounting, inventory, point of sale, project management, and more. It is designed to streamline business processes and improve productivity by providing a fully integrated and customizable platform.
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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