Free template: use AI to automatically extract your Netsuite data
Automatically extract your Netsuite data without writing a single line of code.
The Parabola Team
Transform 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 NetSuite account.
- Select the specific ERP data you want to extract. Configure any necessary filters or parameters.
- Clean, organize, and transform your data. In short, do anything you'd otherwise do in spreadsheets. To help, Parabola offers five different AI-led transform steps.
- Apply any additional processing needed, such as field mapping or data standardization.
- Generate your results by previewing the extracted data and running your automated flow. Once configured, this process will update automatically.
How to use NetSuite with Parabola
Parabola's NetSuite integration allows you to seamlessly import and transform your business data without any coding required.
- Automatically sync NetSuite data on a scheduled basis
- Transform complex NetSuite data structures into actionable formats
- Combine NetSuite information with other data sources for comprehensive analysis
Retrieving data from NetSuite
Before you can begin finding and replacing values, you'll need to pull your data from NetSuite into Parabola. The process starts with the Pull from NetSuite step, which connects directly to your NetSuite saved searches and brings your data into your Flow.
Key features
- Connect to any saved search in NetSuite
- Pull real-time data updates
- Filter data at the source
- Support for all NetSuite record types
How to use
- Add the Pull from NetSuite step to your Flow
- Connect your NetSuite account
- Select the saved search you want to use
- Configure any additional filters or parameters
- Run the step to preview your data
Applying AI to extract your data
The Extract with AI step in Parabola leverages large language models to intelligently parse and extract specific values from your API data. This powerful feature can understand context and identify patterns in your data, making it ideal for processing unstructured or semi-structured information.
Key features
- Natural language processing capabilities
- Custom extraction rules
- Multi-format support
- Batch processing
How to use
- Add the Extract with AI step after your pull step
- Define the columns you want to extract data from
- Create new columns specifying the data you want to extract
- Add additional fine-tuning to further tailor the extraction
- Run a test extraction to verify results
- Adjust settings as needed for optimal results
Practical use cases and examples
Here are a few examples of how you can use Parabola to automate the extraction and analysis of your NetSuite data:
Sales performance analysis
Use Parabola to automatically pull your sales data from NetSuite, then apply formulas to calculate key metrics like total revenue, average order value, and customer lifetime value. You can then visualize these metrics in Parabola or export them to a reporting tool.
Inventory management
Automatically extract your inventory data from NetSuite, then use Parabola's Extract with AI step to identify slow-moving or overstocked items. You can then use this information to optimize your inventory levels and improve your supply chain efficiency.
Customer segmentation
Pull your customer data from NetSuite, then use Parabola's AI-powered data extraction to segment your customers based on factors like purchase history, demographics, or behavior. This can help you better target your marketing and sales efforts and improve customer retention.
By using Parabola to automate the extraction and analysis of your NetSuite data, you can save time, improve decision-making, and gain deeper insights into your business operations.
