
When this happens...

Automatically do this!
Enable Integrations or automations with these events of Track-POD and kazm
Create a new order.
Delete an order until Arrived.
Update an existing order.
Search for route by code.
Search for order by number.
Get All Drivers.
Explore more automations built by businesses and experts

Gain insights into how viaSocket functions through our detailed guide. Understand its key features and benefits to maximize your experience and efficiency.

Unlock your team's potential with 5 straightforward automation hacks designed to streamline processes and free up valuable time for more important work.

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 Track-POD and kazm accounts to viaSocket. Once connected, you can set up a workflow where an event in Track-POD triggers actions in kazm (or vice versa).
Absolutely. You can customize how Track-POD 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 Track-POD 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 Track-POD 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.
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 MoreKazm 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.
Learn More