Identify if email is support request using AI

Below is a free classifier to identify if email is support request. Just input your text, and our AI will predict if it's a support request - in just seconds.

if email is support request identifier

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Get started

    import nyckel
    
    credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
    nyckel.invoke("if-email-is-support-request", "your_text_here", credentials)
                

    fetch('https://www.nyckel.com/v1/functions/if-email-is-support-request/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-is-support-request/invoke
                

How this classifier works

To start, input the text that you'd like analyzed. Our AI tool will then predict if it's a support request.

This pretrained text model uses a Nyckel-created dataset and has 2 labels, including Other and Support Needed.

We'll also show a confidence score (the higher the number, the more confident the AI model is around if it's a support request).

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

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Need to identify if email is support request at scale?

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



  • Automated Ticket Routing: This use case involves using the text classification function to automatically route incoming support requests to the appropriate department or agent. By identifying emails that are support requests, businesses can ensure quicker response times and efficient handling of customer issues.

  • 24/7 Customer Service: Implementing the classification function can enable automated responses to common support requests outside of regular business hours. By identifying emails as support requests, organizations can trigger automated acknowledgment messages or FAQs, providing customers with immediate assistance even when staff are unavailable.

  • Performance Analytics: Businesses can utilize the classification function to gather data on the volume and types of support requests received over time. This information can help identify trends, assess the effectiveness of current support strategies, and inform resource allocation for better service performance.

  • Prioritization of Support Requests: By identifying support requests through text classification, organizations can implement automatic prioritization based on urgency or customer status. High-priority requests can be flagged for immediate attention, ensuring timely responses to critical issues.

  • Enhanced Customer Experience: By quickly categorizing support requests, companies can improve customer experience by reducing response times. This classification allows for better tracking of unresolved issues and a streamlined approach to follow-ups, fostering customer satisfaction.

  • Integration with CRM Systems: The classification function can be integrated into Customer Relationship Management (CRM) systems to update customer profiles based on their support requests. This integration helps maintain accurate records and enhances the ability to provide personalized support in future interactions.

  • Feedback Loop for Product Improvement: By classifying support request emails, businesses can evaluate the reasons behind customer inquiries related to product issues or feature requests. This feedback can be analyzed to drive product development and improvement initiatives, aligning offerings with customer needs.

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