Connect Urable and Dante AI to Build Intelligent Automations
Choose a Trigger
When this happens...
New Customer
Update Customer
Choose an Action
Automatically do this!
- Request a new Action for Dante AI
Enable Integrations or automations with these events of Urable and Dante AI
Enable Integrations or automations with these events of Urable and Dante AI
Triggers
New Customer
Trigger when a new customer created.
Update Customer
Triggers when an existing customer is updated.
Actions
Search Customer
Retrieves the detail of customer based on email address.
List All Items
Retrieves the detail of all items.
Create Customer
Creates a new customer
Update Customer
Updates an existing customer
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Frequently Asked Questions
To start, connect both your Urable and Dante AI accounts to viaSocket. Once connected, you can set up a workflow where an event in Urable triggers actions in Dante AI (or vice versa).
Absolutely. You can customize how Urable data is recorded in Dante AI. This includes choosing which data fields go into which fields of Dante AI, setting up custom formats, and filtering out unwanted information.
The data sync between Urable and Dante 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 Urable and Dante 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 Urable
Urable is an application designed for automotive businesses that specialize in detailing, paint protection film, vinyl wrapping, tinting, and ceramic coating. As a cloud-based application with dedicated mobile apps, it allows you to run your business from multiple devices in real-time.
Learn MoreAbout Dante AI
Dante AI is an artificial intelligence platform which allows you to create conversations with knowledge gathered from documents, files, websites and more.
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