Identify if text message has tracking info using AI

Below is a free classifier to identify if text message has tracking info. Just input your text, and our AI will predict if the text message contains tracking info - in just seconds.

if text message has tracking info identifier

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    import nyckel
    
    credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
    nyckel.invoke("if-text-message-has-tracking-info", "your_text_here", credentials)
                

    fetch('https://www.nyckel.com/v1/functions/if-text-message-has-tracking-info/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-text-message-has-tracking-info/invoke
                

How this classifier works

To start, input the text that you'd like analyzed. Our AI tool will then predict if the text message contains tracking info.

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

We'll also show a confidence score (the higher the number, the more confident the AI model is around if the text message contains tracking info).

Whether you're just curious or building if text message has tracking info detection into your application, we hope our classifier proves helpful.

Recommended Classifiers

Need to identify if text message has tracking info at scale?

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



  • Automated Customer Support: This use case involves implementing the text classification function to enhance customer support systems. By automatically identifying messages containing tracking information, support agents can prioritize responses and provide efficient assistance without needing to sift through irrelevant inquiries.

  • E-commerce Order Status Notifications: Online retail platforms can utilize this function to streamline their order status updates. Messages that include tracking information can be flagged for prompt processing, ensuring customers receive timely updates about their shipments.

  • Logistics Operations Monitoring: In logistics companies, the function can be integrated into operational monitoring systems to extract tracking information from incoming communications. This helps logistics managers stay informed about shipment statuses and address any issues in real-time.

  • Fraud Detection in Shipping Emails: This classification function can be employed in fraud detection systems to analyze shipping-related communications. By identifying messages with tracking info, it helps distinguish legitimate transactions from potential scams that may involve fake shipping details.

  • Enhanced Marketing Analytics: Marketing teams can use this function to analyze customer engagement with tracking messages. By understanding how often customers interact with tracking information, they can tailor marketing strategies to improve customer retention and satisfaction.

  • Supply Chain Optimization: In supply chain management, this text classification can assist in monitoring supplier communications for tracking updates. It enables procurement teams to take proactive steps when delays are identified, improving overall supply chain efficiency.

  • Returns and RMA Processing: Retailers can leverage this function to streamline returns and RMA (Return Merchandise Authorization) processes. By detecting messages with tracking info related to returns, systems can automatically update status and notify relevant teams, significantly reducing manual workload.

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