Identify commonly asked queries
using AI
Below is a free classifier to identify commonly asked queries. Just input your text, and our AI will predict what category best describes your inquiry - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("commonly-asked-queries", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/commonly-asked-queries/invoke', {
method: 'POST',
headers: {
'Authorization': 'Bearer ' + 'YOUR_BEARER_TOKEN',
'Content-Type': 'application/json',
},
body: JSON.stringify(
{"data": "your_text_here"}
)
})
.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_text_here"}' \
https://www.nyckel.com/v1/functions/commonly-asked-queries/invoke
How this classifier works
To start, input the text that you'd like analyzed. Our AI tool will then predict what category best describes your inquiry.
This pretrained text model uses a Nyckel-created dataset and has 20 labels, including Bulk Order Discounts, Cancellation Policy, Customer Support, Discount Offers, Exchange Policy, Gift Wrapping Options, Installation Instructions, International Shipping, Loyalty Program and Membership Benefits.
We'll also show a confidence score (the higher the number, the more confident the AI model is around what category best describes your inquiry).
Whether you're just curious or building commonly asked queries detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify commonly asked queries at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Customer Support Automation: Automate responses to common customer queries by identifying frequently asked questions. This function can help route inquiries to pre-defined responses, improving response times and allowing support teams to focus on more complex issues.
- FAQ Generation: Analyze customer interactions to compile and continuously update a frequently asked questions section. By identifying common queries, businesses can create a comprehensive FAQ that addresses customer concerns proactively.
- Chatbot Empowerment: Enhance chatbot functionality by integrating the 'commonly asked queries' identifier to improve user experience. This allows the chatbot to recognize and effectively respond to popular questions without human intervention.
- Market Research Insights: Utilize the identifier to gauge customer interests and trends by analyzing the types of queries they pose. This data can inform product development and marketing strategies, ensuring alignment with customer needs.
- Training Material Development: Create targeted training resources for staff based on the most common queries customers have. By understanding these topics, organizations can develop effective training programs that enhance employee knowledge and service quality.
- Content Personalization: Use the identifier to tailor marketing content and services to align with frequently asked questions in different customer segments. Personalizing content according to common queries can increase engagement and conversion rates.
- Performance Measurement: Monitor and evaluate the types and frequencies of customer inquiries to assess the effectiveness of current products or services. Regularly analyzing these queries helps identify areas for improvement and adaptation in business strategies.