Enable Integrations or automations with these events of Solve CRM and Labelf
Triggered when a new company record is created in Solve360.
Triggers when you add a new contact.
Triggers when a specific tag is applied to a contact.
Triggers when update a contact.
Creates a new company record in Solve360.
Creates a new contact in Solve360.
List all contact.
List all Ownership
Returns a collection of available contact tags.
Returns a collection of available contact fields.
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Workflow automation is the process of using technology to execute repetitive tasks with minimal human intervention, creating a seamless flow of activities.
To start, connect both your Solve CRM and Labelf accounts to viaSocket. Once connected, you can set up a workflow where an event in Solve CRM triggers actions in Labelf (or vice versa).
Absolutely. You can customize how Solve CRM data is recorded in Labelf. This includes choosing which data fields go into which fields of Labelf, setting up custom formats, and filtering out unwanted information.
The data sync between Solve CRM and Labelf 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 Solve CRM and Labelf. 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.
Solve360 is a modern CRM and project management tool designed to help businesses streamline their customer relationship processes and manage projects efficiently. It offers a range of features including contact management, task tracking, and collaboration tools to enhance productivity and improve client interactions.
Learn MoreLabelf is an advanced AI-driven platform designed to streamline and enhance the process of labeling and annotating data. It leverages cutting-edge machine learning algorithms to provide accurate and efficient data labeling solutions, making it an essential tool for data scientists, machine learning engineers, and AI researchers.
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