Enable Integrations or automations with these events of Trafft and KNIME
Triggered when a appointment is booked in Trafft.
Triggered when an appointment is canceled in Trafft.
Triggered when an existing appointment is rescheduled in Trafft.
Triggered when an existing appointment status is changed in Trafft.
Triggers when a customer is created in Trafft.
Creates a new bookings in Trafft.
Retrieves a list of all services.
Create's a new customer.
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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 Trafft and KNIME accounts to viaSocket. Once connected, you can set up a workflow where an event in Trafft triggers actions in KNIME (or vice versa).
Absolutely. You can customize how Trafft data is recorded in KNIME. This includes choosing which data fields go into which fields of KNIME, setting up custom formats, and filtering out unwanted information.
The data sync between Trafft and KNIME 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 Trafft and KNIME. 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.
Trafft is a comprehensive scheduling and booking platform designed to streamline appointment management for businesses of all sizes. It offers a user-friendly interface for managing appointments, staff schedules, and client bookings, making it an ideal solution for service-based industries. With features like automated reminders, online payments, and customizable booking pages, Trafft helps businesses enhance their customer experience and improve operational efficiency.
Learn MoreKNIME is a powerful open-source platform designed for data analytics, reporting, and integration. It enables users to create data workflows and perform complex data analysis with ease, using a visual programming interface. KNIME is widely used for data mining, machine learning, and predictive analytics, making it a valuable tool for data scientists and analysts.
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