Connect Shiptheory and Labelf to Build Intelligent Automations
Choose a Trigger
When this happens...
New Shipment
Choose an Action
Automatically do this!
- Request a new Action for Labelf
Enable Integrations or automations with these events of Shiptheory and Labelf
Enable Integrations or automations with these events of Shiptheory and Labelf
Triggers
New Shipment
Triggers when a new shipment is created.
Actions
Create Product
Add's a new product in shiptheory.
Create Shipment
Create's a new shipment.
Create a Tag
Create a single tag in your Shiptheory account.
Update a Tag
Update a single tag by ID.
Update a Product
Update an existing product in shiptheory.
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Frequently Asked Questions
To start, connect both your Shiptheory and Labelf accounts to viaSocket. Once connected, you can set up a workflow where an event in Shiptheory triggers actions in Labelf (or vice versa).
Absolutely. You can customize how Shiptheory 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 Shiptheory 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 Shiptheory 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 Shiptheory
Automate your shipping processes for greater efficiency and reliability by integrating with Shiptheory. Access various carrier APIs to streamline your shipping operations and ensure smooth delivery management.
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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