
When this happens...
Task Created

Automatically do this!
Enable Integrations or automations with these events of Onfleet and Microsoft Azure Functions
Triggers when an Onfleet task is created.
Creates a pickup or dropoff task.
Get all the administrators
Delete a active task
Clones a existing task
Returns a collection of all workers in your organization.
You may provide a coordinate pair along with a radius to get a list of workers who are currently within a certain target area.

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To start, connect both your Onfleet and Microsoft Azure Functions accounts to viaSocket. Once connected, you can set up a workflow where an event in Onfleet triggers actions in Microsoft Azure Functions (or vice versa).
Absolutely. You can customize how Onfleet data is recorded in Microsoft Azure Functions. This includes choosing which data fields go into which fields of Microsoft Azure Functions, setting up custom formats, and filtering out unwanted information.
The data sync between Onfleet and Microsoft Azure Functions 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 Onfleet and Microsoft Azure Functions. 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.
Onfleet transforms cumbersome last-mile logistics into delightful delivery management. Intuitive smartphone apps, powerful web dashboard and automatic customer notifications handle the heavy lifting so you can focus on your customer.
Learn MoreMicrosoft Azure Functions is a serverless computing service that enables developers to run event-driven code without having to explicitly provision or manage infrastructure. It allows for the execution of code in response to various triggers, such as HTTP requests, database changes, or message queue events, making it ideal for building scalable and efficient applications.
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