Identify interaction closure reason
using AI
Below is a free classifier to identify interaction closure reason. Just input your text, and our AI will predict the reason for closing the interaction - in just seconds.
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Get started
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("interaction-closure-reason", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/interaction-closure-reason/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/interaction-closure-reason/invoke
How this classifier works
To start, input the text that you'd like analyzed. Our AI tool will then predict the reason for closing the interaction.
This pretrained text model uses a Nyckel-created dataset and has 20 labels, including Awaiting Customer Response, Case Closed, Closed By Customer Request, Customer Follow-Up, Duplicate Case, Escalated, In Progress, Information Requested, Internal Review Needed and Issue Not Reproducible.
We'll also show a confidence score (the higher the number, the more confident the AI model is around the reason for closing the interaction).
Whether you're just curious or building interaction closure reason detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify interaction closure reason at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Customer Support Interaction Analysis: This function can be utilized by customer support teams to categorize and analyze the reasons behind customer interaction closures. By identifying reasons such as problem resolution, customer satisfaction, or escalated issues, teams can improve their response strategies and enhance overall service quality.
- Marketing Campaign Effectiveness: Marketers can leverage the identifier to assess the closure reasons of interactions related to specific campaigns. By understanding why leads convert or disengage, marketers can refine their messaging and targeting, leading to more effective campaigns.
- Sales Performance Improvement: Sales teams can use the interaction closure reason identifier to analyze the outcomes of sales calls or meetings. By categorizing closures, sales managers can identify trends in successful pitches versus those that did not close, informing training and strategy adjustments.
- Product Feedback Loop: This function aids product development teams by categorizing customer feedback related to product usage and interaction closure. Understanding whether closures result from product dissatisfaction or feature requests can guide product improvements and innovation.
- Risk Management in Customer Interactions: Financial institutions can use the identifier to monitor the reasons behind customer interaction closures. This insight helps in identifying potential risks associated with client disengagement or complaints and enables proactive measures to mitigate churn.
- Employee Performance Evaluation: Organizations can implement this function to analyze interaction closure reasons in employee performance reviews. By understanding whether closures stem from effective communication or unresolved issues, managers can better evaluate employee strengths and coaching needs.
- Customer Journey Mapping: The interaction closure reason identifier can assist businesses in mapping out customer journeys. By categorizing interaction closures, companies gain insights into the customer experience, allowing them to identify key touchpoints and opportunities for engagement enhancement.