Identify pharmacy customers count
using AI
Below is a free classifier to identify pharmacy customers count. Just upload your image, and our AI will predict the number of customers in the pharmacy during different times of the day - 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("pharmacy-customers-count", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/pharmacy-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/pharmacy-customers-count/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict the number of customers in the pharmacy during different times of the day.
This pretrained image model uses a Nyckel-created dataset and has 9 labels, including 1-5, 101-200, 11-20, 201-500, 21-30, 31-50, 500+, 51-100 and 6-10.
We'll also show a confidence score (the higher the number, the more confident the AI model is around the number of customers in the pharmacy during different times of the day).
Whether you're just curious or building pharmacy customers count detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify pharmacy 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 pharmacies monitor the flow of customers throughout the day. By accurately identifying the number of customers entering the store, pharmacies can optimize staffing and manage peak hours effectively.
- Inventory Management: By analyzing customer counts during specific times, pharmacies can better predict demand for certain medications and products. This can lead to more effective inventory management, reducing overstock and stockouts.
- Sales Forecasting: Understanding customer traffic patterns allows pharmacies to forecast sales more accurately. With a clearer picture of customer flow, pharmacies can align marketing strategies and promotional efforts with expected foot traffic.
- Customer Behavior Insights: By correlating customer counts with purchasing data, pharmacies can gain insights into customer behavior. This can inform decisions about product placement and promotional offers, increasing conversion rates.
- Staff Performance Evaluation: The identification of customer counts can be used to evaluate staff performance and productivity. By analyzing how well staff engages with the number of customers, management can implement training programs and improvements.
- Service Optimization: Pharmacies can use customer count data to optimize services such as prescription filling and consultations. By understanding busy periods, they can allocate resources to enhance customer service during peak times.
- Health Initiative Planning: This function can be leveraged to assess the impact of health initiatives or community outreach programs. By monitoring customer traffic in response to health campaigns, pharmacies can tailor their services to community needs more effectively.