Connect SOS Inventory and Extracta.ai to Build Intelligent Automations
Enable Integrations or automations with these events of SOS Inventory and Extracta.ai
Enable Integrations or automations with these events of SOS Inventory and Extracta.ai
Actions
List Items
Get all existing items.
Create Customer
Creates a new customer.
Find Customer
Find a customer by name or email.
Find Sales Order
Find a Sales Order.
Create extraction
Create an extraction that captures specified fields from your documents.
Update extraction
Update an extraction's name, description, language, processing options, and fields.
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Frequently Asked Questions
To start, connect both your SOS Inventory and Extracta.ai accounts to viaSocket. Once connected, you can set up a workflow where an event in SOS Inventory triggers actions in Extracta.ai (or vice versa).
Absolutely. You can customize how SOS Inventory data is recorded in Extracta.ai. This includes choosing which data fields go into which fields of Extracta.ai, setting up custom formats, and filtering out unwanted information.
The data sync between SOS Inventory and Extracta.ai 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 SOS Inventory and Extracta.ai. 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 SOS Inventory
SOS Inventory is an app that tracks inventory, provides order management and manufacturing tracking and integrates with QuickBooks online.
Learn MoreAbout Extracta.ai
Extracta.ai is a cutting-edge AI tool designed to streamline data extraction processes. It leverages advanced machine learning algorithms to efficiently extract, process, and analyze data from various sources, making it an invaluable asset for businesses looking to enhance their data-driven decision-making capabilities.
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