Identify if email requests documents using AI

Below is a free classifier to identify if email requests documents. Just input your text, and our AI will predict if the email requests documents - in just seconds.

if email requests documents identifier

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Get started

    import nyckel
    
    credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
    nyckel.invoke("if-email-requests-documents", "your_text_here", credentials)
                

    fetch('https://www.nyckel.com/v1/functions/if-email-requests-documents/invoke', {
        method: 'POST',
        headers: {
            'Authorization': 'Bearer ' + 'YOUR_BEARER_TOKEN',
            'Content-Type': 'application/json',
        },
        body: JSON.stringify(
            {"data": "your_text_here"}
        )
    })
    .then(response => response.json())
    .then(data => console.log(data));
                

    curl -X POST \
        -H "Content-Type: application/json" \
        -H "Authorization: Bearer YOUR_BEARER_TOKEN" \
        -d '{"data": "your_text_here"}' \
        https://www.nyckel.com/v1/functions/if-email-requests-documents/invoke
                

How this classifier works

To start, input the text that you'd like analyzed. Our AI tool will then predict if the email requests documents.

This pretrained text model uses a Nyckel-created dataset and has 2 labels, including Documents Requested and No Documents Requested.

We'll also show a confidence score (the higher the number, the more confident the AI model is around if the email requests documents).

Whether you're just curious or building if email requests documents detection into your application, we hope our classifier proves helpful.

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Need to identify if email requests documents at scale?

Get API or Zapier access to this classifier for free. It's perfect for:



  • Automated Document Retrieval: This use case involves an automation system that identifies emails requesting specific documents, ensuring that only relevant emails trigger the retrieval process. By streamlining this workflow, organizations can significantly reduce response time and enhance customer satisfaction.

  • Client Onboarding Efficiency: During the client onboarding process, the function can detect emails that ask for onboarding documents. This allows teams to prioritize these requests and gather necessary documentation swiftly, expediting the overall onboarding timeline.

  • Compliance Tracking: In industries with strict regulatory requirements, the system can monitor incoming emails for document requests related to compliance. This enables businesses to maintain better records and respond promptly to regulatory inquiries, minimizing compliance risks.

  • Internal Document Requests: The function can be utilized internally to track requests from employees for company documents. By automating this identification, HR and internal departments can manage requests efficiently and ensure timely access to essential information.

  • IT Support Ticketing: In an IT environment, the identifier can help classify emails that request technical documentation or user guides. This classification can assist in routing these requests to the appropriate teams, improving response times to employees facing technical issues.

  • Supplier Documentation Management: For supply chain management, the function can identify emails from suppliers requesting documentation such as contracts or specifications. This ensures that procurement teams can respond quickly, fostering better relationships with suppliers.

  • Data Migration and Archival Requests: In data management projects, the function can identify emails requesting historical documents or data migrations. By streamlining the identification of these requests, teams can ensure a more organized and efficient approach to data retrieval and archival processes.

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