Identify customer inquiry priority
using AI
Below is a free classifier to identify customer inquiry priority. Just input your text, and our AI will predict the priority level of customer inquiries. - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("customer-inquiry-priority", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/customer-inquiry-priority/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/customer-inquiry-priority/invoke
How this classifier works
To start, input the text that you'd like analyzed. Our AI tool will then predict the priority level of customer inquiries..
This pretrained text model uses a Nyckel-created dataset and has 5 labels, including High, Low, Medium, Non-Urgent and Urgent.
We'll also show a confidence score (the higher the number, the more confident the AI model is around the priority level of customer inquiries.).
Whether you're just curious or building customer inquiry priority detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify customer inquiry priority at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Support Ticket Prioritization: This function can be utilized to classify incoming customer support tickets based on their urgency and priority levels. By automatically identifying high-priority inquiries, support teams can allocate resources more efficiently and ensure that critical issues are addressed promptly.
- Sales Lead Management: The identifier can help in filtering and prioritizing customer inquiries related to potential sales leads. By distinguishing high-value prospects from routine questions, sales teams can focus their efforts on inquiries that are more likely to convert, optimizing their sales pipeline.
- Customer Feedback Triage: Businesses can use this function to prioritize customer feedback submissions, allowing teams to address the most pressing concerns first. This ensures that critical product or service changes are made swiftly in response to customer needs, enhancing customer satisfaction.
- Automated Call Routing: The false text classification function can be integrated into call center systems to prioritize incoming customer calls. By classifying the urgency of inquiries, calls can be routed to the most suitable agents faster, leading to improved response times and customer experiences.
- Marketing Campaign Evaluation: This tool can help assess the interest level of customer inquiries related to marketing campaigns. By identifying high-priority inquiries, marketing teams can tailor follow-ups and optimize their strategies to convert interested leads more effectively.
- Social Media Management: Companies can use the identifier to sort and prioritize customer interactions on social media platforms. By focusing on urgent or high-impact inquiries, organizations can enhance their brand reputation and customer engagement by responding quickly to public concerns.
- Product Support Self-Service Optimization: The classification function can analyze customer inquiries submitted to self-service support channels. By identifying which topics generate the most urgent inquiries, organizations can adjust their knowledge base resources, improving user experience by providing relevant content upfront.