Connect Detrack and Cast AI to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Detrack
Choose an Action
Automatically do this!
Predict Model
Mark Organization
Enable Integrations or automations with these events of Detrack and Cast AI
Enable Integrations or automations with these events of Detrack and Cast AI
Actions
Create Job
Creates a Job in the Detrack Dashboard.
List Jobs
List all jobs
Create Batch
Create multiple delivery or collection jobs in Detrack as a single batch.
Update Job
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.
Predict Model
Predict the best model based on the prompt.
Mark Organization
Mark the organization eligible for tial period.
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Frequently Asked Questions
To start, connect both your Detrack and Cast AI accounts to viaSocket. Once connected, you can set up a workflow where an event in Detrack triggers actions in Cast AI (or vice versa).
Absolutely. You can customize how Detrack data is recorded in Cast AI. This includes choosing which data fields go into which fields of Cast AI, setting up custom formats, and filtering out unwanted information.
The data sync between Detrack and Cast AI 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 Cast AI. 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 Detrack
Detrack is a live delivery tracking system that offers a robust Proof of Delivery system to last-mile couriers and logistics.
Learn MoreAbout Cast AI
Cast AI is a platform that provides automated cloud optimization solutions, helping businesses manage and optimize their cloud resources efficiently. It leverages AI to reduce cloud costs, enhance performance, and ensure high availability of applications.
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