Identify inquiry product category
using AI
Below is a free classifier to identify inquiry product category. Just input your text, and our AI will predict which product category your inquiry belongs to - 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("inquiry-product-category", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/inquiry-product-category/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/inquiry-product-category/invoke
How this classifier works
To start, input the text that you'd like analyzed. Our AI tool will then predict which product category your inquiry belongs to.
This pretrained text model uses a Nyckel-created dataset and has 20 labels, including Automotive, Books, Clothing, Computers, Electronics, Furniture, Garden Supplies, Groceries, Handmade Goods and Health And Beauty.
We'll also show a confidence score (the higher the number, the more confident the AI model is around which product category your inquiry belongs to).
Whether you're just curious or building inquiry product category detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify inquiry product category at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Customer Support Automation: The 'inquiry product category' identifier can streamline customer support operations by automatically categorizing incoming inquiries based on the specific product type. This enables support agents to quickly address issues relevant to the category, enhancing response times and improving customer satisfaction.
- Market Analysis: By categorizing inquiries according to product types, businesses can perform in-depth market analysis to understand customer preferences and trends. This insight allows companies to refine their product offerings and marketing strategies based on real-time data from customer interactions.
- Product Development Insights: Using the identifier, businesses can track which product categories generate the most inquiries, providing valuable feedback for product development teams. This data can inform decisions on feature enhancements, new product launches, or discontinuation of underperforming items.
- Targeted Marketing Campaigns: The function can help in the segmentation of customers based on their inquiries, facilitating targeted marketing campaigns for specific product categories. This leads to higher conversion rates as personalized promotions can be tailored to address the interests of different customer segments.
- Resource Allocation: By understanding the volume of inquiries related to various product categories, companies can more effectively allocate resources, ensuring that support teams are equipped to handle peak times for specific products. This proactive management can lead to improved operational efficiency.
- Performance Measurement: Businesses can leverage the categorization of inquiries to measure the performance of different product lines over time. Tracking the frequency and nature of inquiries can highlight which products are thriving and which may need additional improvements or support.
- Knowledge Base Improvement: Insights gained from categorized inquiries can inform the ongoing development of a knowledge base for both customers and support staff. By analyzing the most common inquiries per product category, businesses can create targeted FAQs and support articles that better serve user needs.