Connect EKM and YourGPT to Build Intelligent Automations
Choose a Trigger
When this happens...
New Customer
New Order
New Product
Choose an Action
Automatically do this!
Send Message
Create New Session
Ready to use EKM and YourGPT automations
Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Customer
Runs when a new customer is created.
New Order
Trigger when new order is created in your account.
New Product
Trigger when new product is created in your account.
Message Received
Triggers when a new message is received in your YourGPT chatbot session.
User Message Sent
Triggers when a user sends a message to the YourGPT chatbot in an active session.
Do thisActions
Action is the task that follows automatically within your EKM integrations.
Create Customer
Add a new customer to the EKM account.
Create Product
Add a new Product to the EKM account.
Update Product
Update the details of an existing product.
Send Message
To send a new message.
Create New Session
To create a new Session
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Frequently Asked Questions
To start, connect both your EKM and YourGPT accounts to viaSocket. Once connected, you can set up a workflow where an event in EKM triggers actions in YourGPT (or vice versa).
Absolutely. You can customize how EKM data is recorded in YourGPT. This includes choosing which data fields go into which fields of YourGPT, setting up custom formats, and filtering out unwanted information.
The data sync between EKM and YourGPT 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 EKM and YourGPT. 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 YourGPT
YourGPT is an advanced AI tool designed to assist users in generating human-like text based on the input provided. It leverages state-of-the-art machine learning models to understand and produce text that is coherent and contextually relevant, making it ideal for content creation, customer support, and more.
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