Identify missing items on grocery store shelves
using AI
Below is a free classifier to identify missing items on grocery store shelves. Just upload your image, and our AI will predict if an item is missing from store shelves - in just seconds.
Contact us for API access
Or, use Nyckel to build highly-accurate custom classifiers in just minutes. No PhD required.
Get started
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("missing-items-on-grocery-store-shelves", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/missing-items-on-grocery-store-shelves/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-items-on-grocery-store-shelves/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict if an item is missing from store shelves.
This pretrained image model uses a Nyckel-created dataset and has 2 labels, including In Stock and Out Of Stock.
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 store shelves).
Whether you're just curious or building missing items on grocery store shelves detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify missing items on grocery store shelves at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Inventory Management: This function can assist store managers in maintaining optimal inventory levels by identifying missing items on shelves in real-time. By automating stock checks, it reduces the time staff spend manually monitoring inventory and minimizes the risk of stockouts.
- Supply Chain Optimization: Businesses can leverage this classification function to better understand stock availability and gaps on shelves. This data can inform supply chain decisions, improving reorder practices and ultimately ensuring that popular items are consistently available to customers.
- Customer Experience Enhancement: By utilizing this technology, grocery stores can prevent negative customer experiences caused by missing products. Ensuring that shelves are fully stocked with popular items enhances shopper satisfaction, potentially increasing customer loyalty and sales.
- Marketing and Promotions Insights: This function can identify not only missing items but also how often specific products are out of stock. Such insights can guide marketing campaigns, optimizing promotions for items that are frequently purchased but often missing.
- Automated Reporting: The image classification function can generate automated reports detailing which items have been consistently missing from shelves. These reports can support management discussions about product selection strategies and potential inventory adjustments.
- Store Layout Optimization: By analyzing the frequency of missing items in particular stores or sections, management can assess the effectiveness of the current store layout. This data can inform decisions on product placement to enhance accessibility and sales of key items.
- Compliance and Quality Control: The system can ensure compliance with shelf-stocking protocols by monitoring stock levels against established merchandising guidelines. This allows grocery chains to maintain quality standards and meet customer expectations consistently across all locations.