Connect Desklog.io and kazm to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Desklog.io
Choose an Action
Automatically do this!
- Request a new Action for kazm
Enable Integrations or automations with these events of Desklog.io and kazm
Enable Integrations or automations with these events of Desklog.io and kazm
Actions
Create Task
Creates a new task in Desklog.io.
Update Task
Updates an existing task in Desklog.io.
Create Project
Creates a Project.
Create Client
Creates a Client.
Create Tag
Creates a Tag.
Update Tag
Update an existing tag.
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Frequently Asked Questions
To start, connect both your Desklog.io and kazm accounts to viaSocket. Once connected, you can set up a workflow where an event in Desklog.io triggers actions in kazm (or vice versa).
Absolutely. You can customize how Desklog.io data is recorded in kazm. This includes choosing which data fields go into which fields of kazm, setting up custom formats, and filtering out unwanted information.
The data sync between Desklog.io and kazm 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 Desklog.io and kazm. 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 Desklog.io
Desklog.io is a comprehensive project management and time tracking software designed to enhance productivity and streamline workflow processes. It offers features such as task management, employee monitoring, and automated timesheets, making it an ideal solution for businesses looking to optimize their project management and team collaboration efforts.
Learn MoreAbout kazm
Kazm is the data-driven CRM for Web3. We plug into every community touchpoint to create unified customer profiles, then apply machine learning and other methods to label, segment, and help personalize experiences for users.
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