Turn 7shifts Labor Data Into a Weekly Cost Brief
Send a 7shifts snapshot and get a clear labor cost analysis in minutes.
Trigger
Webhook received
Notis starts this workflow when an external tool or custom backend sends an HTTP request.
Action
Execute Code
Execute python code in a sandbox and return any result, stdout, stderr, and error. use /home/user folder to write/read files. try to not use plt.show() as the code is executed remotely. use files for image/chart output instead.
Why this helps
Labor reports take too long to reconcile, so cost problems surface after the week is over.
- Spot labor cost spikes early
- Compare locations or periods consistently
- Get a repeatable written summary
Setup
Build it in a few focused steps.
- 1Connect 7shifts and Codeinterpreter in the Notis portal.
- 2Create a new automation and describe the labor analysis outcome in one instruction.
- 3Choose the Notis webhook trigger for each incoming 7shifts snapshot.
- 4Select where run reports should go.
- 5Test with one real weekly labor export.
Questions about this workflow
What data should the webhook include?
Provide the 7shifts labor totals and any sales or hours fields needed for your comparison. Missing baselines must be supplied in the payload or instruction.
Can the analysis cover multiple locations?
Yes. Include a location identifier and the relevant totals for each location.
When this happens · Trigger
Do this · Action
Supported Triggers and Actions
Notis builds workflows that link 7shifts to Codeinterpreter. A trigger fires from one place; an action lands in another.
7shifts triggers
Codeinterpreter actions
Recurring trigger
Notis starts this workflow on a schedule, such as daily, weekly, or during business hours.
Create Sandbox
Create a sandbox to execute python code in a jupyter notebook cell. this is useful for agents to communicate, execute code, see output, read files, write files, etc. it's like you own personal computer, but in the cloud. use /home/user folder to write/read files.
Webhook trigger
Notis starts this workflow when an external tool or custom backend sends an HTTP request.
Execute Code
Execute python code in a sandbox and return any result, stdout, stderr, and error. use /home/user folder to write/read files. try to not use plt.show() as the code is executed remotely. use files for image/chart output instead.
Get File
Get a file from the sandbox and returns the file. the files should be read from /home/user folder.
Run Terminal Command
Run a command in the terminal and returns the stdout, stderr, and error code. use /home/user folder to write/read files.
Upload File
Upload a file to the sandbox environment. the files should be uploaded to the /home/user folder.
Connect any two apps with Notis in the middle.
7shifts and Codeinterpreter, or any other combination from 1,000+ integrations.
When this happens · Trigger
Do this · Action
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