Connect Shiptheory 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 Shipment
Triggers when a new shipment is created.
Do thisActions
Action is the task that follows automatically within your Shiptheory integrations.
Create Product
Add's a new product in shiptheory.
Create Shipment
Create's a new shipment.
Create a Tag
Create a single tag in your Shiptheory account.
Update a Tag
Update a single tag by ID.
Update a Product
Update an existing product in shiptheory.
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 Shiptheory and AI/ML API accounts to viaSocket. Once connected, you can set up a workflow where an event in Shiptheory triggers actions in AI/ML API (or vice versa).
Absolutely. You can customize how Shiptheory 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 Shiptheory 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 Shiptheory 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 Shiptheory
Automate your shipping processes for greater efficiency and reliability by integrating with Shiptheory. Access various carrier APIs to streamline your shipping operations and ensure smooth delivery management.
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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