Connect 7Shifts and Nyckel to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for 7Shifts
Choose an Action
Automatically do this!
Import to Classifier
Classify
Center Detect
Train Classifier
Enable Integrations or automations with these events of 7Shifts and Nyckel
Enable Integrations or automations with these events of 7Shifts and Nyckel
Actions
Get Hours and Wages report Detailed
Retrieves either scheduled or actual hours and wages
List Departments
List Departments for a company.
List Locations
List Locations for a company.
List Roles
Lists roles for a company.
Retrive User
Retrieve a specific user by User ID
Import to Classifier
Import data to your Nyckel classifier
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Frequently Asked Questions
To start, connect both your 7Shifts and Nyckel accounts to viaSocket. Once connected, you can set up a workflow where an event in 7Shifts triggers actions in Nyckel (or vice versa).
Absolutely. You can customize how 7Shifts data is recorded in Nyckel. This includes choosing which data fields go into which fields of Nyckel, setting up custom formats, and filtering out unwanted information.
The data sync between 7Shifts and Nyckel 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 7Shifts and Nyckel. 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 7Shifts
7shifts offers robust settings for managing labor visibility and schedule configuration, including Time Clocking and integration settings for tracking labor data and hiding certain staff members from the schedule.
Learn MoreAbout Nyckel
Nyckel is a platform that provides machine learning as a service, enabling users to easily integrate AI capabilities into their applications without needing extensive knowledge in data science or machine learning. It offers tools for creating, training, and deploying machine learning models with ease.
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