Connect Pennylane and kazm to Build Intelligent Automations
Choose a Trigger
When this happens...
New Customer Invoice Created
New Customer
New Product
Choose an Action
Automatically do this!
- Request a new Action for kazm
Enable Integrations or automations with these events of Pennylane and kazm
Enable Integrations or automations with these events of Pennylane and kazm
Triggers
New Customer Invoice Created
Runs when new customer invoice is created
New Customer
Triggers when a new customer is created.
New Product
Triggers when a new product is created.
Actions
Create Customer
Creates a new individual customer.
Create a Product
Creates a new product in pennylane.
Update Customer
Update a customer.
Update Product
Update a product.
Create Estimate
Create a new estimate.
Create Company Customer
Creates a new company customer.
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Frequently Asked Questions
To start, connect both your Pennylane and kazm accounts to viaSocket. Once connected, you can set up a workflow where an event in Pennylane triggers actions in kazm (or vice versa).
Absolutely. You can customize how Pennylane data is recorded in kazm. This includes choosing which data fields go into which fields of kazm, setting up custom formats, and filtering out unwanted information.
The data sync between Pennylane and kazm 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 Pennylane and kazm. 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 Pennylane
Pennylane centralizes all your cash flows and connects with your financial tools to ease and automate collaboration with your accountant.
Learn MoreAbout kazm
Kazm is the data-driven CRM for Web3. We plug into every community touchpoint to create unified customer profiles, then apply machine learning and other methods to label, segment, and help personalize experiences for users.
Learn More
