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Article
November 10, 2022
Customer segmentation for airline marketing
At the AGIFORS (Airline Group of the International Federation of Operational Research Societies) meeting that I recently attended in Toulouse, revenue management executives at two major airlines asked me: “What is the best way to segment...
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Article
September 29, 2022
New perspectives in airline forecasting
Cuneyd Kaya, Senior Principal, Data Science at Sabre Labs, explains how he and his team are exploring ways to make the planning and forecasting process for airlines more precise and effective. Cuneyd, how do you determine...
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Article
September 15, 2022
AGIFORS Names Sabre’s Richard Ratliff as Fellow at 62nd Annual Symposium
Yesterday evening in Toulouse, France, the Airline Group of the International Federation of Operational Research Societies (AGIFORS) named Richard Ratliff, Executive Scientist – Sabre Labs, as an AGIFORS Fellow at its 62nd Annual Symposium. AGIFORS is...
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Article
August 31, 2022
Delivering software faster: How to coax Git into working great with a monorepo
Part 2 of 5 By: Dan Cohn, Sabre Labs The first post in this series relays how we at Sabre began a multi-year effort to increase the efficiency and morale of software developers across the company....
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Article
August 11, 2022
Connecting with industry and academic peers on innovations in travel retailing
The impact of the coronavirus pandemic on travel and the accelerated pace of technology evolution were core themes at Northwestern University Transportation Center’s annual workshop for travel industry and academic professionals. Sergey Shebalov, Vice President of...
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Article
July 26, 2022
Delivering software faster: Improving engineering productivity
Part 1 of 5 By: Dan Cohn, Sabre Labs How do you go about increasing software engineering productivity? How do you deal with the fact that every engineering team has a unique blend of standards, practices,...
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Article
January 28, 2022
Sabre chose Bigtable and Cloud Spanner to serve more than 1 billion travelers annually
by Andrew Gasparovic Sabre processes more than 12 billion shopping requests and serves over 1 billion travelers every year. Through our next generation of AI-powered solutions, we are focused on optimizing the retailing, distribution, and fulfillment...
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Article
October 7, 2020
Offer Management – Optimizing Airline Ancillary Bundles Based on Customer Preferences Part 3 of 3: Experimentation Engines
This article is the final of a three-part series on optimizing airline ancillary bundles based on customer preferences. In Part 1, we discussed data collection and customer segmentation methods. In Part 2, we met traveler Caroline...
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Article
March 30, 2020
Offer Management – Optimizing Airline Ancillary Bundles Based on Customer Preferences Part 2 of 3: Recommendation and offer engines
This article is the second of a three-part series on optimizing airline ancillary bundles based on customer preferences. Part one discussed data collection and customer segmentation methods. In this section, we will cover recommendation and offer...
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Article
March 13, 2020
Offer Management – Optimizing Airline Ancillary Bundles Based on Customer Preferences Part 1 of 3: Data collection and customer segmentation
Offer management is the process of selling the right bundle – airfare and air ancillaries – to the right customer at the right price at the right time. It is an extension of the well-established revenue...
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Article
January 16, 2020
How Sabre is using AI/ML to change the technology of travel – Part 2
At Sabre, as we evaluate new opportunities for leveraging Artificial Intelligence (AI) and Machine Learning (ML) algorithms, we realize that a fundamental challenge that needs to be addressed is how to scale this specialized knowledge across...
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Article
January 16, 2020
How Sabre is using AI/ML to change the technology of travel – Part 1
After the deregulation of the airline industry in 1979, Sabre has played a pivotal role in enabling all aspects of a consumer’s travel by leveraging our core competencies in operations research, computer science and advanced data...