Identify pub customers count
using AI
Below is a free classifier to identify pub customers count. Just upload your image, and our AI will predict the number of customers in each pub category. - 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("pub-customers-count", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/pub-customers-count/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/pub-customers-count/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict the number of customers in each pub category..
This pretrained image model uses a Nyckel-created dataset and has 12 labels, including 1-5, 1000+, 101-200, 11-20, 201-300, 21-30, 301-400, 31-50, 401-500 and 501-1000.
We'll also show a confidence score (the higher the number, the more confident the AI model is around the number of customers in each pub category.).
Whether you're just curious or building pub customers count detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify pub customers count at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Customer Traffic Analysis: This function can help retail business owners track the number of customers entering their stores during specific timeframes. By analyzing foot traffic data, businesses can optimize staffing schedules and inventory levels to meet demand.
- Marketing Campaign Effectiveness: Marketers can use customer count data to evaluate the effectiveness of promotional campaigns. By comparing the foot traffic before and after a campaign, businesses can assess whether their marketing efforts are attracting more customers.
- Real Estate Development Planning: Real estate developers can utilize customer count metrics to identify high-traffic areas for new developments. Understanding customer behavior in certain locations can guide investments and portfolio decisions for retail and hospitality projects.
- Queue Management in Services: Businesses in the service sector can apply this analysis to manage customer lines and wait times effectively. By monitoring customer flow, they can adjust service strategies to improve customer satisfaction and reduce wait times.
- Seasonal Trend Analysis: Organizations can analyze customer count trends over different seasons or events to better understand consumer behavior. This information helps businesses prepare for peak periods, ensuring they have adequate resources and promotions in place.
- Competitive Benchmarking: By comparing customer counts in various locations, businesses can benchmark their performance against competitors. This analysis aids in understanding market positioning and identifying areas for improvement or investment.
- Event Management Optimization: Event planners can use customer count data to optimize venue arrangements and staffing for events. By predicting attendance levels, they can make informed decisions on layout, catering, and security needs for enhanced guest experiences.