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What is Email?
Email is a method of exchanging digital messages between people using digital devices such as computers, tablets, and smartphones. It is one of the most widely used forms of communication in both personal and professional settings.
Why would you want to automatically categorize your Email data?
Automatically categorizing your Email data can provide several benefits:
- Improved organization and searchability of your Emails
- Faster processing and prioritization of important Emails
- Automated routing of Emails to the appropriate team or individual
- Enhanced data analysis and insights from your Email data
Explore and learn more about Parabola
Use Parabola to bring your disparate data and documents together, then tackle your most complex processes with ease
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Pull from inbound email
Categorize with AI
How to categorize Emails with Parabola
Parabola is a powerful tool that can help you automate and streamline your Email data processing. With Parabola, you can:
- Connect to your Email account and pull in data without any coding
- Transform and manipulate your Email data using a visual, drag-and-drop interface
- Automate your Email data processing workflows to save time and increase efficiency
- Visualize the output of your Email data processing to gain valuable insights
Retrieving data from email
Parabola's email integration allows you to pull data directly from your email accounts, making it easy to extract and process information from your messages and attachments.
Key features
- Process any email sent to your inbox
- Attachment processing (CSV, Excel, PDF)
- Standardize attachments across suppliers, vendors, and carriers
- Extract email sender and recipient information, file name, and email metadata
- Filter capabilities
- Automated scheduling
How to use
- Add the Pull from inbound email step to your Flow
- Within email settings, copy your Flow's email address
- Specify the attachment type (if applicable)
- Forward or send an email to the Flow's email address
- Click "Refresh data" to pull in your email
- Adjust the fields and validate your final output
Applying AI to categorize your data
Once you have retrieved your data, you can use the Categorize with AI step in Parabola to automatically categorize it. This step uses large language models to evaluate each row of data and assign a category from a custom, predefined set.
Key features
- Automatically categorize data based on content for consistency
- Customize the categories to fit your specific needs
- Easily iterate on categorization over time to improve accuracy
- Add additional fine tuning to improve results from the model
How to use
- Add the Categorize with AI step to your Parabola Flow
- Select which column(s) to categorize
- Define the categories to output in the newly created column
- Name the new column containing your categories
- Optionally add additional fine tuning to improve accuracy and capture edge-cases
- Review and refine the categorization results as needed
Practical use cases and examples
Customer support Email categorization
By automatically categorizing customer support Emails, you can streamline your response process and ensure that Emails are routed to the appropriate team or individual. This can lead to faster resolution times and improved customer satisfaction.
Sales lead prioritization
Categorizing sales-related Emails can help you identify the most promising leads and prioritize your outreach efforts. This can lead to increased sales conversions and a more efficient sales process.
HR document management
Automatically categorizing HR-related Emails, such as employee onboarding documents or leave requests, can help you maintain a well-organized and searchable archive of important information.
In conclusion, using Parabola to automatically categorize your Email data can provide significant benefits in terms of organization, efficiency, and data-driven decision-making. By leveraging the power of AI and Parabola's intuitive interface, you can streamline your Email processing and unlock valuable insights from your data.
