Identify shipping brands using AI

Below is a free classifier to identify shipping brands. Just upload your image, and our AI will predict what shipping brand it is - in just seconds.

shipping brands identifier

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Get started

    import nyckel
    
    credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
    nyckel.invoke("shipping-brands", "your_image_url", credentials)
                

    fetch('https://www.nyckel.com/v1/functions/shipping-brands/invoke', {
        method: 'POST',
        headers: {
            'Authorization': 'Bearer ' + 'YOUR_BEARER_TOKEN',
            'Content-Type': 'application/json',
        },
        body: JSON.stringify(
            {"data": "your_image_url"}
        )
    })
    .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_image_url"}' \
        https://www.nyckel.com/v1/functions/shipping-brands/invoke
                

How this classifier works

To start, upload your image. Our AI tool will then predict what shipping brand it is.

This pretrained image model uses a Nyckel-created dataset and has 20 labels, including Australia Post, Brazil Post, Canada Post, China Post, Correos, Dhl, Dpd, Fedex, Gls and Hermes.

We'll also show a confidence score (the higher the number, the more confident the AI model is around what shipping brand it is).

Whether you're just curious or building shipping brands detection into your application, we hope our classifier proves helpful.

Recommended Classifiers

Need to identify shipping brands at scale?

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



  • Brand Compliance Verification: This function can be utilized by logistics companies to ensure that shipped products meet brand compliance standards. By identifying the shipping brands, companies can verify that packages comply with brand regulations, preventing counterfeits from being dispatched.

  • Inventory Management: Retailers can implement this image classification function to monitor inventory levels in real-time. By identifying shipping brands, they can efficiently track their stock levels and prevent overordering or stockouts of popular items.

  • Automated Shipping Labeling: E-commerce businesses can use this function to automate the process of sorting and labeling packages. By accurately identifying shipping brands, companies can streamline their logistics operations, reduce errors, and enhance the speed of order fulfillment.

  • Brand Promotion Analytics: Marketing teams can leverage this function to analyze shipment patterns of different brands. This data can provide insights into brand popularity, allowing for more informed marketing strategies and promotional efforts.

  • Fraud Prevention: Financial institutions and shipping services can use this function to detect fraudulent shipping practices. By automatically identifying shipping brands, they can flag suspicious activities involving counterfeit goods or unauthorized brand use.

  • Customizable Brand Dashboards: Businesses can develop dashboards that display shipment data visualized by brand. This use case enables decision-makers to track performance metrics for various brands over time, helping to guide strategic planning and improvements.

  • Supply Chain Transparency: Companies can implement this function to enhance traceability within their supply chains. By classifying shipping brands, businesses can better monitor the origin and movement of goods, leading to improved accountability and transparency in sourcing practices.

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