Identify shelf cleanliness
using AI
Below is a free classifier to identify shelf cleanliness. Just upload your image, and our AI will predict the level of cleanliness of the shelf - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("shelf-cleanliness", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/shelf-cleanliness/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/shelf-cleanliness/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict the level of cleanliness of the shelf.
This pretrained image model uses a Nyckel-created dataset and has 13 labels, including Clean, Cluttered, Disorganized, Full, Messy, Neat, Needs Cleanup, Orderly, Organized and Overflowing.
We'll also show a confidence score (the higher the number, the more confident the AI model is around the level of cleanliness of the shelf).
Whether you're just curious or building shelf cleanliness detection into your application, we hope our classifier proves helpful.
Need to identify shelf cleanliness at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Retail Store Assessment: The shelf cleanliness identifier can be employed by retail managers to assess the cleanliness of shelves across various locations. By regularly analyzing images of store shelves, management can ensure compliance with hygiene standards and enhance the aesthetic appeal for customers.
- Inventory Management Optimization: This function can assist inventory managers in tracking product displays and shelf organization. By identifying unclean shelves, businesses can optimize restocking schedules and maintain a positive shopping environment, reducing potential losses from unappealing displays.
- Brand Compliance Monitoring: For brands with strict marketing guidelines, the cleanliness identifier can monitor shelf displays to ensure products are presented according to brand standards. This can help maintain brand integrity and strengthen customer trust by ensuring products are always displayed in a professional manner.
- Automated Reporting for Store Audits: The image classification tool can streamline the auditing process by providing automated reports on shelf cleanliness. This allows store supervisors to focus on other areas of store performance while still receiving insights on cleanliness and operational compliance.
- Staff Training Enhancement: Retail trainers can use insights from the shelf cleanliness identifier to develop targeted training programs for staff. By identifying common cleanliness issues, training can be tailored to address specific problems, leading to increased employee awareness and performance.
- Customer Experience Improvement: By monitoring shelf cleanliness, organizations can enhance the overall shopping experience. Consistently clean shelves contribute to a more pleasant atmosphere, potentially increasing customer retention and satisfaction levels.
- Supplier Performance Evaluation: The shelf cleanliness identifier can aid in evaluating suppliers by monitoring how frequently their products lead to cleanliness issues. This data can inform sourcing decisions and strengthen partnerships by ensuring that high standards are maintained throughout the supply chain.