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When this happensTriggers
A trigger is an event that starts a workflow.
Triggers when a new customer is created.
Triggers when a new dispatch is created.
Triggers when a new invoice is created.
Triggers when a new order is created.
Triggers when a new payment is created.
Triggers when a new product is created.
Action is the task that follows automatically within your Orderspace integrations.
Creating a new customer
Create a dispatch.
Create a new order.
Create a new price list.
Update the on-hand inventory levels.
Initiates a conversation with the AI model, providing prompts and generating responses based on the chat messages.

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Workflow automation is the process of using technology to execute repetitive tasks with minimal human intervention, creating a seamless flow of activities.
To start, connect both your Orderspace and AI/ML API accounts to viaSocket. Once connected, you can set up a workflow where an event in Orderspace triggers actions in AI/ML API (or vice versa).
Absolutely. You can customize how Orderspace data is recorded in AI/ML API. This includes choosing which data fields go into which fields of AI/ML API, setting up custom formats, and filtering out unwanted information.
The data sync between Orderspace and AI/ML API 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 Orderspace and AI/ML API. 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.
Orderspace makes it simple for businesses to manage and accept wholesale orders online, offering an easy and efficient ordering experience.
Learn MoreAI/ML API provides advanced artificial intelligence and machine learning capabilities to developers and businesses, enabling them to integrate intelligent features into their applications. With a wide range of AI models and tools, users can enhance their software with capabilities such as natural language processing, image recognition, predictive analytics, and more.
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