Identify flight companions
using AI
Below is a free classifier to identify flight companions. Just input your text, and our AI will predict the perfect flight companions for your journey - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("flight-companions", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/flight-companions/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/flight-companions/invoke
How this classifier works
To start, input the text that you'd like analyzed. Our AI tool will then predict the perfect flight companions for your journey.
This pretrained text model uses a Nyckel-created dataset and has 12 labels, including Academic Group, Business Associates, Conference Attendees, Couple, Family, Group Of Friends, Senior Companions, Solo Traveler, Sports Team and Tourists.
We'll also show a confidence score (the higher the number, the more confident the AI model is around the perfect flight companions for your journey).
Whether you're just curious or building flight companions detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify flight companions at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Passenger Safety Monitoring: This function can be used by airlines to identify potential flight companions in real-time, ensuring that passengers are seated next to those with similar travel intentions or profiles. By flagging mismatches, airlines can enhance overall passenger safety and improve comfort on board.
- Targeted In-Flight Advertising: Airlines can leverage this classification function to analyze passenger data and deliver tailored advertisements for products or services based on the identified flight companions. This can increase the effectiveness of in-flight marketing campaigns and drive additional revenue.
- Enhanced Customer Service: Flight attendants can use the classification results to better understand the dynamics of passenger groups on a flight. By identifying potential companions, staff can provide personalized service and address specific social interactions, leading to a more pleasant flight experience.
- Social Networking for Travelers: Travel companies can integrate this function into their mobile apps to facilitate connections between passengers with compatible travel profiles. By identifying likely companions, users can arrange meet-ups during layovers or share travel tips, enhancing customer engagement.
- Baggage Handling Efficiency: Airports can utilize this function to analyze the behavior and profiles of passengers traveling together, allowing for more efficient baggage sorting and handling processes. By understanding flight companions, staff can streamline baggage transfer and minimize delays.
- Fraud Detection in Bookings: This classification can assist in detecting fraudulent booking patterns by identifying unusual pairing of flight companions. It can flag suspicious activities or discrepancies in travel itineraries that deviate from typical travel behaviors.
- Loyalty Program Optimization: Airlines can analyze companions' profiles to offer personalized rewards and incentives in their loyalty programs. By understanding who travelers frequently fly with, airlines can tailor offers that encourage frequent travel and foster brand loyalty.