
When this happens...

Automatically do this!
List All Records
Delete Record
Update Record
List a record by Record ID
Find Or Create Record
Create Record
List Bases
List Tables
Create Base
Add Record
When this happensTriggers
A trigger is an event that starts a workflow.
Runs when a record is created or updated in your table.
Runs when new records are added to the chosen Airtable base and table within the last N minutes.
Action is the task that follows automatically within your Detrack integrations.
Creates a Job in the Detrack Dashboard.
List all jobs
Create multiple delivery or collection jobs in Detrack as a single batch.
Update one or more Detrack jobs (DO numbers). Modify job date, type, address, contact, phone, notification email, tracking number, and items — any fields left blank remain unchanged.
Retrieves all records from the selected Airtable base and table.
Removes a specific record from the selected Airtable base and table.

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To start, connect both your Detrack and Airtable accounts to viaSocket. Once connected, you can set up a workflow where an event in Detrack triggers actions in Airtable (or vice versa).
Absolutely. You can customize how Detrack data is recorded in Airtable. This includes choosing which data fields go into which fields of Airtable, setting up custom formats, and filtering out unwanted information.
The data sync between Detrack and Airtable 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 Detrack and Airtable. 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.
Detrack is a live delivery tracking system that offers a robust Proof of Delivery system to last-mile couriers and logistics.
Learn MoreAirtable is a cloud-based platform for creating and sharing relational databases. The user-friendly interface allows anyone to spin up a database in minutes.
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