Connect Track-POD and Labelf to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Track-POD
Choose an Action
Automatically do this!
- Request a new Action for Labelf
Enable Integrations or automations with these events of Track-POD and Labelf
Enable Integrations or automations with these events of Track-POD and Labelf
Actions
Create Order
Create a new order.
Delete Order
Delete an order until Arrived.
Update Order
Update an existing order.
Find a Route by Code
Search for route by code.
Find an Order by Number
Search for order by number.
List drivers
Get All Drivers.
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Frequently Asked Questions
To start, connect both your Track-POD and Labelf accounts to viaSocket. Once connected, you can set up a workflow where an event in Track-POD triggers actions in Labelf (or vice versa).
Absolutely. You can customize how Track-POD 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 Track-POD 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 Track-POD 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 Track-POD
Track-POD is a delivery management software that helps businesses streamline their delivery operations, track shipments in real-time, and ensure proof of delivery. It offers features like route optimization, electronic signatures, and real-time tracking to enhance delivery efficiency and customer satisfaction.
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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