Connect Starshipit and AI/ML API to Build Intelligent Automations
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Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Order
Triggers when a new order is created.
Do thisActions
Action is the task that follows automatically within your Starshipit integrations.
Create a Order
Create an outbound order.
List Shipped Orders
Retrieve details of orders that have been shipped.
Create Chat Completion
Initiates a conversation with the AI model, providing prompts and generating responses based on the chat messages.
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Frequently Asked Questions
To start, connect both your Starshipit and AI/ML API accounts to viaSocket. Once connected, you can set up a workflow where an event in Starshipit triggers actions in AI/ML API (or vice versa).
Absolutely. You can customize how Starshipit 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 Starshipit 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 Starshipit 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.
About Starshipit
Starshipit is an integrated shipping and tracking software that helps businesses automate their shipping processes. The app allows users to manage orders, print shipping labels, and provide real-time tracking updates to customers, enhancing the efficiency of e-commerce operations.
Learn MoreAbout AI/ML API
AI/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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