Text Analytics to Improve Airline & Airport Operations
Analyze large volumes of air travel and customer feedback data. Improve daily operations efficiency and enhance customer support.
Analyze large volumes of air travel and customer feedback data. Improve daily operations efficiency and enhance customer support.
The airline/aviation industry is a highly competitive market and customer satisfaction is of utmost importance. Airline flights create a ton of data in multiple formats such as maintenance logs to air-traffic reports. A delay in examining this data can cause flight delays, landing issues and high fuel consumption. Text analytics can help you analyze all unstructured text within minutes for informed decision making.
BytesView's text analytics solutions can help you compile and analyze large volumes of textual data. Analyze customer feedback data to identify recurring issues. Similarly analyze maintenance logs, air-traffic reports, flight data, etc, to improve efficiency, enhance customer experience, manage air traffic and reduce costs.
Implement topic labeling to identify popular topics in conversation related to your brand. Identify reasons for incidents and use them to improve safety standards.
Use intent detection to classify support queries based on opinion, cancellation, compliant, suggestion, appreciation, query, or purchase intent.
Airlines provide service features based on customer's demands. Knowing the gender of your customer can help you provide gender specific personalized services.
Use semantic similarities to analyze the services and unique features that your competitors. Use the insights to enhance the customer experience.
Analyze customer feedback data from multiple channels and analyze the sentiments of the customers to gauge your brand’s market reputation.
Use emotion analysis to recognize the emotion expressed by the customers from textual data. Identify key issues or leverage positive feedback for marketing.
Use feature extraction to extract all the features or services provided by your competitors. Analyze all unique features and use them to create the most appealing set of features or services for your brand.
Use keyword extraction and identify relevant documents with a predefined set of words. Track conversations related to your brands or your competitors.
Use entity extraction to access the travel history of your customers. Use the insights to predict demand and plan flights at reasonable prices that customers are willing to pay for.