Air Canada cites huge potential from AI and data mining to drive revenue growth
Maximising the use of data and improving the digital experience for customers has become a huge talking point for most airlines, spanning all types of business models. Canada’s largest airline, Air Canada, is making a push in this area, pledging to spend a significant amount of time and money during the next few years to create more meaningful offers for its customers, to shore up its revenue.
Air Canada is in the early stages of reaping benefits from a new revenue management system, and is also making a substantial investment in a new passenger service system designed by Amadeus.
In tandem with those investments, Air Canada is partnering with Artificial Intelligence firms in an effort to enhance the customer experience. The airline has recently started offering travel information through Amazon’s personal assistant Alexa, and aims to leverage AI more heavily to drive pricing and revenue traction.
To access CAPA Premium Analysis you need a CAPA Membership
Your window into the latest insights
CAPA employs an industry-leading Analyst team based in Europe, North America, Asia and Australia who offer unique perspectives and independent and accurate commentary of critical industry developments globally. CAPA Members rely on our Analysis to unlock valuable insights and actionable intelligence to keep ahead of the game.
Big picture strategic view
Our Analysts don’t just report the news - they take a big picture strategic view of aviation dynamics, issues and trends and analyse the implications of these developments for you.
The CAPA Analyst team is based globally to ensure our CAPA Members have access to independent, unique perspectives covering an entire spectrum of daily, worldwide commercial aviation developments.
Customise your Alerts
CAPA Members can use CAPA Alerts to receive daily, weekly or monthly and customised updates on our Analysis.
I'm very impressed by the factual and detailed analysis CAPA is always doing.- CEO, Airline Member
Phone: +61 2 9241 3200 | Email: firstname.lastname@example.org