Free template: remove duplicate rows or values from your ShipHero data
Remove duplicate rows or values from your ShipHero data without writing a single line of code.
The Parabola Team
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Sign up for freeTransform your data in five easy steps using Parabola's drag-and-drop interface, powered by AI.
- Set up your data source by creating a new Parabola flow and connecting your ShipHero account. This creates your workflow foundation.
- Select the specific shipping fields you want to check for duplicates. Configure any necessary filters.
- Use Parabola's duplicate detection tools to identify matching records. This step lets you define which fields determine a duplicate.
- Apply any additional criteria needed, such as keeping the most recent entry or combining information from duplicates.
- Generate your results by previewing the cleaned data and running your automated flow. Once configured, this process will sync automatically.
See Parabola in actionHow to use ShipHero with Parabola
Parabola seamlessly integrates with ShipHero to help you automate your data processing and analysis workflows. Here are the key benefits:
- No coding required to connect and manipulate ShipHero data
- Real-time data synchronization
- Automated data cleaning and transformation
- Custom reporting capabilities
- Integration with other e-commerce tools and platforms
- Scalable data processing for growing businesses
Retrieving data from ShipHero
Getting started with ShipHero data in Parabola is straightforward using the Pull from ShipHero step. This step allows you to access various types of data from your ShipHero account, including orders, inventory, and shipping information.
Key features
- Secure API connection to your ShipHero account
- Multiple data type selection options
- Customizable date ranges for data pulls
- Automatic pagination handling
- Real-time data refresh capabilities
How to use
- Drag the Pull from ShipHero step onto the canvas
- Using our ShipHero integration how to doc, authenticate the API integration
- Use one of the pre-built API connections to pull in an object from ShipHero, specifying the fields you'd like to pull and date range
- Run the step to pull in your data
How to remove duplicates with Parabola
The Remove duplicates step in Parabola provides a powerful way to clean your data by eliminating redundant entries. This step can be customized to look at specific columns or entire rows when determining what constitutes a duplicate.
Key features
- Column-specific duplicate removal
- Flexible matching criteria
- Preservation of original data order
- Option to keep first or last occurrence
- Support for case-sensitive matching
How to use
- Add the Remove duplicates step to the Canvas
- Select the columns to check for duplicates
- Choose whether to keep the first or last occurrence
- Configure any additional matching options
- Preview the results to ensure accuracy
Practical use cases and examples
Removing duplicates from ShipHero data has numerous practical applications in e-commerce operations. Here are some common scenarios where this functionality proves invaluable.
Order deduplication
When dealing with multiple sales channels, orders might sometimes be recorded twice in ShipHero. By removing duplicates based on order ID and customer information, you can ensure each order is processed only once and maintain accurate fulfillment records.
Inventory reconciliation
During inventory counts or when syncing across multiple warehouses, duplicate SKU entries might appear. Using Parabola to remove these duplicates helps maintain accurate stock levels and prevents inventory discrepancies.
Customer list cleanup
When managing customer data across different systems, duplicate customer records can accumulate in ShipHero. Removing these duplicates based on email or phone number ensures clean customer data for marketing and support purposes.
Working with clean, duplicate-free data is essential for maintaining efficient operations in your e-commerce business. By combining ShipHero's robust platform with Parabola's powerful data processing capabilities, you can ensure your data remains accurate and reliable. This automation not only saves time but also reduces the risk of errors in your fulfillment operations.
