Identify hotel price range
using AI
Below is a free classifier to identify hotel price range. Just upload your image, and our AI will predict the price range of hotels based on their features and location - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("hotel-price-range", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/hotel-price-range/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/hotel-price-range/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict the price range of hotels based on their features and location.
This pretrained image model uses a Nyckel-created dataset and has 4 labels, including Budget, Luxury, Mid-Range and Premium.
We'll also show a confidence score (the higher the number, the more confident the AI model is around the price range of hotels based on their features and location).
Whether you're just curious or building hotel price range detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify hotel price range at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Pricing Strategy Optimization: The hotel price range identifier helps revenue management teams analyze market trends and competitor pricing. By classifying hotels into various price segments, managers can create competitive pricing strategies that maximize occupancy and revenue.
- Personalized Marketing Campaigns: With the ability to classify hotels by price range, marketing teams can tailor their campaigns more effectively. They can target specific customer segments with personalized offers, resulting in increased conversion rates and customer satisfaction.
- Customer Review Analysis: The identifier can be used to correlate customer reviews with price ranges, allowing hotel management to identify patterns in guest experiences. This information can guide improvements in services and help justify pricing changes based on customer feedback.
- Market Research and Trends Analysis: By classifying and analyzing hotels by price range, businesses can identify emerging trends in the hospitality market. This data can inform long-term business strategies, investments, and expansions in profitable segments.
- Competitive Benchmarking: The false image classification function can assist companies in benchmarking their hotel properties against competitors’ offerings. Understanding how their pricing stacks up against similar establishments can drive strategic decisions regarding pricing, amenities, and services.
- Collaboration with Travel Platforms: By integrating the hotel price range identifier into travel booking platforms, companies can improve user experience. It allows travelers to filter options based on budget, leading to more satisfied customers and enhanced platform loyalty.
- Dynamic Pricing Implementation: The classification function can support dynamic pricing models that adjust rates in real-time based on demand and competition. This flexibility can optimize revenue, particularly during peak seasons or special events, by adapting to market conditions quickly.