Connect Shiprocket and Roboflow to Build Intelligent Automations
Enable Integrations or automations with these events of Shiprocket and Roboflow
Enable Integrations or automations with these events of Shiprocket and Roboflow
Actions
Create an Order
Creates a new order.
Create a Product
Create a new product.
Create a Pickup Location
Create a new pickup location in your account.
Generate Invoice
Generate Invoice pdf for specific order.
Search Order
Search a specific order by order channel name.
Cancel Order
Cancel a created order.
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Frequently Asked Questions
To start, connect both your Shiprocket and Roboflow accounts to viaSocket. Once connected, you can set up a workflow where an event in Shiprocket triggers actions in Roboflow (or vice versa).
Absolutely. You can customize how Shiprocket data is recorded in Roboflow. This includes choosing which data fields go into which fields of Roboflow, setting up custom formats, and filtering out unwanted information.
The data sync between Shiprocket and Roboflow 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 Shiprocket and Roboflow. 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 Shiprocket
Shiprocket is a leading eCommerce logistics and shipping solution in India, designed to streamline the shipping process for online retailers. It offers a comprehensive platform that integrates with various eCommerce platforms, providing features like automated shipping, real-time tracking, and multiple courier options to enhance the delivery experience for businesses and their customers.
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About Roboflow
Roboflow is a leading platform for computer vision and AI model development, offering tools to streamline the process of building, training, and deploying machine learning models.
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