Connect Zoho Inventory and DataRobot to Build Intelligent Automations
Enable Integrations or automations with these events of Zoho Inventory and DataRobot
Enable Integrations or automations with these events of Zoho Inventory and DataRobot
Triggers
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.
Actions
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.
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Frequently Asked Questions
To start, connect both your Zoho Inventory and DataRobot accounts to viaSocket. Once connected, you can set up a workflow where an event in Zoho Inventory triggers actions in DataRobot (or vice versa).
Absolutely. You can customize how Zoho Inventory data is recorded in DataRobot. This includes choosing which data fields go into which fields of DataRobot, setting up custom formats, and filtering out unwanted information.
The data sync between Zoho Inventory and DataRobot 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 DataRobot. 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.
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About DataRobot
DataRobot is a leading AI platform that enables organizations to harness the power of machine learning and artificial intelligence to drive business insights and decision-making. It offers automated machine learning capabilities, allowing users to build, deploy, and manage AI models efficiently.
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