Ai Video: Japan Airlines gears up for retailing and NDC

 

How can airlines that haven’t really adopted a sophisticated approach to retailing and ancillary sales gear up for the same? Is NDC emerging as a viable option to offer legacy airlines the framework, based on XML standards, to match the “LCC” approach to unbundling or ancillary sales?

As a carrier from Asia, Japan Airlines considers NDC to be an opportunity to position itself as a premium carrier that has the capability of delivering a variety of products that suits the needs of the customers. The airline has formed a cross-functional team, says Akira Mitsumasu, VP, Marketing & Strategy, Asia & Oceania Region, Japan Airlines.

“Being a full-service carrier, we just don’t want to unbundle things (for the sake of it) and sell them. It could be a leisure traveller or a business traveller (even a same person travelling on different occasions/ trips), it’s about identifying a need and then presenting with relevant options,” he says.

According to Mitsumasu, as an organization, Japan Airlines is gearing up for retailing and is open to fine-tuning their distribution strategy as well, including being open to the option of direct connectivity and looking beyond traditional means of airline distribution.

 

 

 

Follow Ai on Twitter: @Ai_Connects_Us

Editorials

  • Ai Video: Curbing loyalty fraud with machine learning +

    12th December, 2019 Airlines are looking at ways to curb illegitimate access to a member's loyalty account and resulting imbalance in a member’s spending or reward activity owing to hacking. Considering Read More
  • Ai Video: Nurturing loyalty via positive emotion of being rewarded +

    6th December, 2019 Airlines are evaluating ways to sharpen their respective loyalty cycles, i. e. letting a member earn and burn faster. What makes the game interesting today is how Read More
  • Ai Editorial: Gearing up for the era of automated personalisation +

    4th December, 2019 Ai Editorial: Personalisation models in e-commerce are not only looking at aspects like predicting a visitor's likelihood of conversion, but machine learning deployed to match different offer Read More
  • 1
  • 2
  • 3
  • 4
  • 5