How to combine ShipHero data with Google Sheets data
The Parabola Team
Here's how to combine ShipHero data with Google Sheets data in five simple steps, using Parabola:
- Set up your data sources by creating a new Parabola flow, connecting your ShipHero account, and linking your Google Sheets document.
- Configure your ShipHero pull by selecting the relevant shipping and fulfillment data. Focus on the metrics you want to analyze.
- Prepare your Google Sheets connection by selecting the specific sheets and ranges. Ensure your spreadsheet is structured for integration.
- Combine your datasets using Parabola's transformation tools. This step lets you match corresponding information and create rules for merging your data.
- Generate your results by previewing the combined data and running your automated flow. Once configured, this process will update automatically.
Continue reading to see how teams are using this integration to create live shipping dashboards, track fulfillment metrics, and automate reporting.
How to use Parabola's ShipHero integration
ShipHero's integration with Parabola enables powerful automation of shipping and fulfillment data processing.
- Easily access shipping and inventory data through the Pull from ShipHero step
- Transform fulfillment data to match your reporting needs
- Create automated workflows for shipping analytics
Pulling 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 use Parabola's Google Sheets integration
Parabola's Google Sheets integration provides a seamless way to work with your spreadsheet data. Here are the main advantages:
- Real-time synchronization with your Google Sheets documents
- Ability to pull data from multiple sheets and ranges
- Automatic handling of various data formats
Pulling data from Google Sheets
The Pull from Google Sheets step in Parabola allows you to connect directly to your Google Sheets files. This integration maintains live connections to your spreadsheets, ensuring your Flow always works with the most current data.
Key features
- Direct connection to Google Sheets
- Support for multiple sheets within a Sheet
- Automatic data type recognition
- Real-time data syncing
How to use
- Add the Pull from Google Sheets step to your Flow
- Authenticate your Google account
- Select your target Google Sheet
- Choose specific sheets or ranges to import
- Configure update settings
Combining ShipHero and Google Sheets
Once you have both data sources imported into your Parabola Flow, you can combine them using the Combine Tables step. This powerful feature allows you to merge data based on common fields, creating a comprehensive dataset for analysis.
Key features
- Multiple joining methods
- Automatic column matching
- Custom key field selection
- Duplicate handling options
- Preview of combined data
How to use
- After you add your data sources to the Canvas, add the Combine tables step to your Flow
- Drag the arrow from your data sources to the Combine tables step on the Canvas
- Choose the columns to match between the tables
- Configure the join type
- Preview and verify the combined results
Practical use cases and examples
Inventory forecasting enhancement
Combine historical shipping data from ShipHero with sales projections stored in Google Sheets to create more accurate inventory forecasts. This integration allows businesses to optimize their stock levels based on both actual fulfillment data and predicted demand.
Order fulfillment performance tracking
Merge ShipHero's shipping metrics with KPI targets maintained in Google Sheets to create comprehensive performance dashboards. This combination enables real-time tracking of fulfillment efficiency against established business goals.
Cost analysis and optimization
Connect shipping cost data from ShipHero with budget allocations in Google Sheets to monitor and optimize fulfillment expenses. This integration helps identify cost-saving opportunities and track spending against budgeted amounts.
By combining ShipHero and Google Sheets data in Parabola, businesses can create powerful automated workflows that provide deeper insights and more efficient operations. The ability to merge operational data with analytical tools opens up new possibilities for optimization and growth. Start building your own integrated Flow today to unlock the full potential of your data.
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Pull from ShipHero
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What is ShipHero?
ShipHero is a comprehensive warehouse management system (WMS) designed for e-commerce businesses. It provides real-time inventory tracking, order management, and shipping automation capabilities to streamline fulfillment operations. ShipHero helps businesses manage their entire supply chain from a single platform, making it easier to track inventory levels, process orders, and maintain accurate shipping records.
Why would you want to combine ShipHero data with Google Sheets data?
Combining data from ShipHero and Google Sheets can help businesses create more comprehensive insights and streamline their operations. Here are several key reasons to integrate these data sources:
- Enhance inventory tracking by combining warehouse data with external sales forecasts
- Create custom reports that merge shipping performance metrics with financial data
- Track order fulfillment efficiency against business KPIs stored in spreadsheets
- Automate the reconciliation of inventory counts between systems
- Generate comprehensive analytics by combining shipping costs with budget data
