Connect Onfleet and Labelf to Build Intelligent Automations
Choose a Trigger
When this happens...
Task Created
Choose an Action
Automatically do this!
- Request a new Action for Labelf
Enable Integrations or automations with these events of Onfleet and Labelf
Enable Integrations or automations with these events of Onfleet and Labelf
Triggers
Task Created
Triggers when an Onfleet task is created.
Actions
Create Task
Creates a pickup or dropoff task.
List Administrators
Get all the administrators
Delete Task
Delete a active task
Clone Task
Clones a existing task
List Workers
Returns a collection of all workers in your organization.
Get Workers by Location
You may provide a coordinate pair along with a radius to get a list of workers who are currently within a certain target area.
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Frequently Asked Questions
To start, connect both your Onfleet and Labelf accounts to viaSocket. Once connected, you can set up a workflow where an event in Onfleet triggers actions in Labelf (or vice versa).
Absolutely. You can customize how Onfleet 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 Onfleet 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 Onfleet 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.
About Onfleet
Onfleet transforms cumbersome last-mile logistics into delightful delivery management. Intuitive smartphone apps, powerful web dashboard and automatic customer notifications handle the heavy lifting so you can focus on your customer.
Learn MoreAbout Labelf
Labelf 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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