Connect Selly and Neo4j to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Selly
Choose an Action
Automatically do this!
- Request a new Action for Neo4j
Enable Integrations or automations with these events of Selly and Neo4j
Enable Integrations or automations with these events of Selly and Neo4j
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 Neo4j accounts to viaSocket. Once connected, you can set up a workflow where an event in Selly triggers actions in Neo4j (or vice versa).
Absolutely. You can customize how Selly data is recorded in Neo4j. This includes choosing which data fields go into which fields of Neo4j, setting up custom formats, and filtering out unwanted information.
The data sync between Selly and Neo4j 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 Neo4j. 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.
Learn MoreAbout Neo4j
Neo4j is a leading graph database platform that enables organizations to unlock the value of connections, influences, and relationships in data. It is designed to handle highly connected data and is used for a variety of applications such as fraud detection, real-time recommendations, and network management.
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