Identify if grocery store shelves are empty
using AI
Below is a free classifier to identify if grocery store shelves are empty. Just upload your image, and our AI will predict if grocery store shelves are empty - 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("if-grocery-store-shelves-are-empty", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/if-grocery-store-shelves-are-empty/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/if-grocery-store-shelves-are-empty/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict if grocery store shelves are empty.
This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Shelves Empty and Shelves Full.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if grocery store shelves are empty).
Whether you're just curious or building if grocery store shelves are empty detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify if grocery store shelves are empty at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Inventory Management: Retailers can leverage the image classification function to automatically monitor grocery store shelves for empty products. This allows for more efficient inventory management by ensuring timely restocking and reducing the likelihood of lost sales due to stockouts.
- Demand Forecasting: By analyzing patterns of empty shelves over time, grocery stores can predict demand for certain items more accurately. This data can help in making informed decisions about inventory levels and promotional strategies.
- Supplier Performance Analysis: Grocery chains can use the empty shelves identifier to assess supplier reliability. If certain suppliers frequently lead to empty shelves, this information can assist in renegotiating contracts or considering alternative suppliers.
- Customer Experience Enhancement: By ensuring shelves are consistently stocked, grocery stores can improve the shopping experience for customers. This function can trigger alerts for staff to restock items quickly, thereby enhancing customer satisfaction and loyalty.
- Automated Stock Alerts: The system can be integrated with inventory management systems to send automated alerts to store managers when items are running low. This proactive approach allows for quicker responses and minimizes the impact of empty shelves on sales.
- Merchandise Planning: Retailers can use data from the empty shelves identifier to analyze trends in product availability and consumer preference. This information can inform future merchandise planning and product placement strategies.
- Marketing and Promotions: Understanding which items frequently run out of stock may highlight opportunities for targeted marketing and promotional campaigns. Grocery stores can leverage this data to highlight popular products in advertisements, driving sales and increasing customer interest.