How to combine Amazon Seller Central data with Excel data
Learn how to combine Amazon Seller Central data with Excel data in five simple steps, along with practical, real-world applications.
The Parabola Team
Five steps to combine Amazon Seller Central data with Excel data
Here's how to combine Amazon Seller Central data with Excel data in five simple steps, using Parabola:
- Set up your data sources by creating a new Parabola flow, connecting your Amazon Seller Central account, and uploading your Excel file. This creates the base for your automated workflow.
- Configure your Amazon Seller Central pull by selecting your required data types, such as orders, inventory, or sales metrics. Set any necessary filters or date ranges.
- Prepare your Excel data by ensuring your spreadsheet is properly formatted and contains all necessary information. This step is crucial for accurate data mapping.
- Combine your datasets using Parabola's transformation tools. This step allows you to match corresponding fields and create rules for how your marketplace and spreadsheet data should merge.
- Generate your results by previewing the combined data and running your automated flow. The process will run automatically for future updates once configured.
Continue reading to see how sellers are using this integration to track performance metrics, manage inventory levels, and create automated reporting systems.
How to use Parabola's Amazon Seller Central integration
Parabola seamlessly integrates with Amazon Seller Central to automate your data processing workflows.
- Direct API connection eliminates manual data export and import processes.
- Real-time data synchronization ensures accuracy and timeliness.
- Automated data transformation reduces human error and saves time.
Pulling data from Amazon Seller Central
Parabola’s integration with Amazon Seller Central allows users to pull various types of reports directly from their seller account. This secure connection enables automatic data retrieval and updates, ensuring you’re always working with the most current information.
Key features
- Automated data extraction from multiple report types
- Secure API authentication
- Customizable date ranges for data retrieval
- Real-time data synchronization
- Support for multiple marketplace regions
How to use
- Navigate to the Pull from Amazon Seller Central step in your Flow
- Authenticate your Amazon Seller Central account
- Select the desired report type and date range
- Configure any additional parameters
- Run the step to import your data
How to use Parabola's Excel integration
Parabola’s Excel integration provides a straightforward way to incorporate spreadsheet data into your automated workflows.
- Maintain existing Excel-based processes while adding automation
- Import historical data and external analyses seamlessly
- Combine multiple Excel files into a single workflow
How to pull Excel data into Parabola
Parabola’s Pull from Excel File step allows users to easily to utilize Excel automation and import their spreadsheet data into their Flow. This step handles various Excel file formats and automatically recognizes column headers and data types, making it simple to begin working with your data immediately.
Key features
- Automatic column type detection
- Support for multiple sheets within a workbook
- Preservation of data formatting
- Handling of merged cells
- Error checking and validation
How to use
- Add the Pull from Excel File step to your Flow
- Upload your Excel file
- Select the specific sheet you want to import
- Configure any additional import settings
- Preview your data before proceeding
- Enjoy Excel workflow automation at work!
Combining Amazon Seller Central and Excel data
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 combining table methods
- Automatic column matching
- Extract text
- Remove duplicates
- Preview of combined data
AI workflow automations
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 workflow automation use cases and examples
Inventory management
Merge Amazon’s current inventory levels with supplier lead times stored in Excel to create automated reorder point calculations and prevent stockouts while maintaining optimal inventory levels.
Profit margin analysis
Combine Amazon sales data with cost information stored in Excel to automatically calculate accurate profit margins and identify your most profitable products and categories.
Customer behavior tracking
Match customer purchase history from Amazon with customer segments defined in Excel to create targeted marketing campaigns and improve customer retention strategies.
By automating the combination of Amazon Seller Central and Excel data in Parabola, businesses can save countless hours of manual data processing while gaining deeper insights into their operations. This integration empowers companies to make data-driven decisions with confidence and scale their operations efficiently.
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What is Amazon Seller Central?
Amazon Seller Central is an Amazon-powered platform that allows merchants to sell products directly to customers on Amazon’s marketplace. It serves as a central hub where sellers can manage their inventory, track orders, analyze sales performance, and access business metrics. This portal provides sellers with data about their business operations, customer behavior, and marketplace performance.
Why would you want to combine data from Amazon Seller Central and Excel?
Combining Amazon Seller Central data with data your team is working with in Excel can provide your team with powerful insights — it also brings opportunities for automation and process improvement to the table. Here are a few ways you may use data pulled from Excel with Amazon Seller Central data:
- Merge historical sales data from Excel with current Amazon performance metrics.
- Cross-reference inventory levels with external supplier information.
- Compare marketplace performance against internal business metrics.
- Create more detailed financial reports by combining multiple data sources.
- Track and analyze customer behavior patterns across different sales channels.
