Connect Selly and genderize to Build Intelligent Automations
Enable Integrations or automations with these events of Selly and genderize
Enable Integrations or automations with these events of Selly and genderize
Actions
Create a Category
This actions creates a new category of products.
Create Coupon
Create a Discount Coupon
Update Category
Updates a category details
Update Coupon
Update a coupon details
Delete Category
Deletes a category from the store.
Delete Coupon
Delete a Coupon from store
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Frequently Asked Questions
To start, connect both your Selly and genderize accounts to viaSocket. Once connected, you can set up a workflow where an event in Selly triggers actions in genderize (or vice versa).
Absolutely. You can customize how Selly data is recorded in genderize. This includes choosing which data fields go into which fields of genderize, setting up custom formats, and filtering out unwanted information.
The data sync between Selly and genderize 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 Selly and genderize. 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 Selly
Selly is a comprehensive eCommerce platform designed to streamline the process of selling digital products, services, and subscriptions online. It offers a user-friendly interface for managing sales, processing payments, and delivering products to customers efficiently. With features like automated delivery, fraud prevention, and detailed analytics, Selly empowers businesses to optimize their online sales operations.
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About genderize
Genderize is a powerful tool that predicts the gender of a person based on their name. It utilizes a large dataset to provide accurate gender predictions, making it useful for applications in marketing, analytics, and customer segmentation.
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