Identify missing shelf item using AI

Below is a free classifier to identify missing shelf item. Just upload your image, and our AI will predict if an item is missing from the shelf - in just seconds.

API Access


import nyckel

credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("missing-shelf-item", "your_image_url", credentials)


fetch('https://www.nyckel.com/v1/functions/missing-shelf-item/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/missing-shelf-item/invoke

How this classifier works

To start, upload your image. Our AI tool will then predict if an item is missing from the shelf.

This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Item Missing and Item Present.

We'll also show a confidence score (the higher the number, the more confident the AI model is around if an item is missing from the shelf).

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

Need to identify missing shelf item at scale?

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

Retail Stock Management: The 'missing shelf item' identifier can be integrated into retail environments to monitor shelf stock in real-time. By automatically detecting when items are missing, retailers can ensure timely restocking and reduce lost sales due to empty shelves.

Inventory Auditing: Businesses can utilize this function to streamline inventory audits by quickly identifying missing items on shelves during regular checks. This not only saves time but also enhances accuracy, allowing for better inventory control and data analysis.

Supply Chain Optimization: The system can help in tracking shelf items across multiple locations in a supply chain. By identifying missing items instantly, businesses can optimize their replenishment processes, reduce waste, and improve operational efficiency.

Customer Experience Improvement: Retailers can implement the identifier to enhance customer satisfaction by ensuring that shelves are always stocked with available products. This proactive approach can lead to higher customer loyalty and increased sales as shoppers find what they need without frustration.

Loss Prevention Strategy: The function can aid in loss prevention strategies by identifying items that frequently go missing from shelves. Businesses can analyze these patterns to implement better security measures or adjust inventory levels for high-risk items.

Demand Forecasting: By analyzing data collected from the identifier, businesses can better understand purchasing patterns and demand fluctuations. This allows for more accurate forecasting and inventory planning, ensuring that popular items are consistently available for customers.

Merchandising Optimization: The 'missing shelf item' identifier can assist in evaluating the effectiveness of merchandising strategies. By identifying which items are frequently out of stock, businesses can adjust product placement, promotional strategies, and inventory distribution to boost sales performance.