Connect Zoho Inventory 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 Contact
Triggers when a new contact is added.
New Invoice
Triggers when a new invoice is created.
New Item
Triggers when a new item is created.
New Salesorder
Triggers when a new salesorder is created.
Do thisActions
Action is the task that follows automatically within your Zoho Inventory integrations.
Create Contact
Creates a new contact.
Create Invoice
Creates a new invoice.
Create Item
Creates a new item.
Create Sales Order
Creates a new sales order.
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 Zoho Inventory and AI/ML API accounts to viaSocket. Once connected, you can set up a workflow where an event in Zoho Inventory triggers actions in AI/ML API (or vice versa).
Absolutely. You can customize how Zoho Inventory 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 Zoho Inventory 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 Zoho Inventory 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 Zoho Inventory
Zoho Inventory is inventory management software for growing businesses to increase the sales and keep track of every unit with powerful stock management, order fulfillment, and inventory control.
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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