Google Flights has been an incredibly useful tool for any traveler, but thanks to two new features frequent flyers can better plan their next adventure. The Google-driven flight guide will now use AI to predict when flights will be delayed. Google Flights achieves this by using historical flight status data and machine learning. In it current state, Google Flights boasts around 80 percent confidence in its delay predictions. The predicted delay function will also inform travelers as to why their flights are delayed.
The second update to Google Flights has the travel service indicating the differences between different levels of seating. This feature comes at a time when "basic economy" and "last class" tickets have become common among larger airlines. The problem with these tickets comes in the hidden details as airlines often remain unclear on the services and amenities cut out of these bookings. Google Flights' new feature is hoping to change this by showing upfront what isn't included in the fare, and hopes to give flyers a more transparent view of airline tickets.
Updated Flight Programs
Two New Google Flights Updates Aim to Improve the Flying Experience
Trend Themes
1. AI-driven Flight Delay Prediction - Using AI and historical flight data, Google Flights can predict flight delays, presenting opportunities for airlines and travel companies to improve their operations and customer experience.
2. Transparent Fare Comparison - Google Flights' feature that reveals the differences between different levels of seating offers an opportunity for airlines to enhance transparency and differentiate themselves based on the value they provide.
3. Machine Learning for Airline Services - The use of machine learning in Google Flights opens doors for the aviation industry to leverage AI capabilities to improve customer service, optimize operations, and make better data-driven decisions.
Industry Implications
1. Airlines - Airlines can leverage AI-powered flight delay predictions and transparent fare comparisons to enhance their services, improve customer satisfaction, and differentiate themselves from competitors.
2. Travel Technology - The advancements in Google Flights present an opportunity for travel technology companies to integrate AI and machine learning into their platforms, offering more accurate predictions and valuable services to travelers.
3. Data Analytics - The use of historical flight data and machine learning in Google Flights highlights the importance of data analytics in the aviation industry, providing opportunities for data analytics companies to offer insights and solutions for airlines and travelers.