Search results for “travel loss”
Didi Chuxing suspends hotel and travel business with staff transfers and lay off
05/28/2019|5:51:38 PM|
Earlier this year, Didi was reported to have sustained steep losses of 10.9 billion yuan in 2018, and has been in the red for six years.
Chinese travel companies show penchant for embracing cloud services
05/21/2019|6:18:00 PM|
Cloud is a force to reckon with. Chinese travel companies in their endeavour to embrace agile transformation for the digital era are making progress on this count.
Sabre’ travel network revenue rose 7.3% to $774.0 million in Q1
05/01/2019|8:02:31 AM|
Operating income dropped 33.2%, driven by the increased technology operating expenses.
Improving efficacy in the arena of aircraft tracking
04/08/2019|5:20:46 PM|
Real-time aircraft tracking is a complex task. But the aviation industry needs to make progress as by 2021, airlines will be required to autonomously report an aircraft’s position at least once every minute when in a “distress condition”.
Fosun Tourism wishes global families to “take a FOLIDAY, instead of a holiday”
03/06/2019|5:28:20 PM|
With differentiated brands, products and customers, the Chairman and CEO of Fosun Tourism sees more synergy than competition.
Ctrip rival Meituan sells 209.6 million hotel room nights in 9 months
11/22/2018|7:21:26 PM|
Meituan has sold a total of 209.6 million domestic hotel room nights in the first three quarter of 2018. By comparison, the company marked 200 million room nights stayed on December 26, 2017.
Ctrip shows how to attain multiple benefits from superlative service quality
09/07/2018|7:46:54 PM|
The Chinese online travel giant has taken a series of initiatives to support a traveler’s journey, and this is also helping in cutting down on cost of revenues.
Cutting down on payment-related fraud via machine learning and AI
08/15/2018|7:52:49 AM|
Travel merchants need to do away with outdated antifraud technologies that cause high false positive rate. That’s why companies are being recommended to go for real-time machine learning.
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