Enable Integrations or automations with these events of FastBill and Labelf
Triggers when a new offer was created within your FastBill account.
Triggers when a new customer is created within your FastBill account.
Triggers when a customer is updated within your FastBill account.
Triggers when a customer is deleted within your FastBill account.
Triggers when a new invoice is created within your FastBill account.
Triggers when an invoice is completed within your FastBill account.
Creates a new customer in FastBill.
Creates a new invoice.
Adds full payment for an invoice.
Send an invoice by email.
Creates a revenue entry.
Adds full payment for a revenue.
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Workflow automation is the process of using technology to execute repetitive tasks with minimal human intervention, creating a seamless flow of activities.
To start, connect both your FastBill and Labelf accounts to viaSocket. Once connected, you can set up a workflow where an event in FastBill triggers actions in Labelf (or vice versa).
Absolutely. You can customize how FastBill data is recorded in Labelf. This includes choosing which data fields go into which fields of Labelf, setting up custom formats, and filtering out unwanted information.
The data sync between FastBill and Labelf 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 FastBill and Labelf. 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.
FastBill is a cloud app for German invoicing & accounting. Writing offers and invoices, paying your bills or preparing your tax return is easier than ever with FastBill.
Learn MoreLabelf is an advanced AI-driven platform designed to streamline and enhance the process of labeling and annotating data. It leverages cutting-edge machine learning algorithms to provide accurate and efficient data labeling solutions, making it an essential tool for data scientists, machine learning engineers, and AI researchers.
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