Join the Air Canada Team!
COMPANY PROFILE
Air Canada is Canada’s largest domestic and international airline, and in 2020 was among the top 20 largest airlines in the world. It is Canada’s flag carrier and a founding member of Star Alliance, the world’s most comprehensive air transportation network.
Air Canada is the only international network carrier in North America to receive a Four-Star ranking according to independent U.K. research firm Skytrax. In 2020, Air Canada was named Global Traveler’s Best Airline in North America for the second straight year. In January 2021, Air Canada received APEX’s Diamond Status Certification for the Air Canada CleanCare+ biosafety program for managing COVID-19, the only airline in Canada to attain the highest APEX ranking.
Air Canada has also committed to a net zero emissions goal from all global operations by 2050. For more information, please visit : aircanada.com/media, follow Air Canada on Twitter and LinkedIn, and join Air Canada on Facebook.
Industry : Air Transport
Founded : 1937
PARTICIPATE
Are you interested in solving concrete industrial problems while developing a unique work experience? Fill in the participation form below. We will review your eligibility and provide you with the registration link later.
PROBLEM DESCRIPTION
Relationship and lags between search and booking trends
Online travel searches can be considered as intention to travel and are often a necessary first step to the actual booking action. Surges in searches can sometimes indicate a sudden increase in the passenger demand, while an increase in the “look-to-book” rate can unveil lack of competitiveness or website issues which present many opportunities for the Revenue Management analyst and can help improve the purchases and booking experience.
By using booking and search data, if Air Canada could identify the relationship between the two signals and build an outlier detection model that would identify changes in those patterns, then they would be able to correct their forecast or modify their inventory policy.
The objective would be, using booking and search data, to identify the relationship between the two signals and build an outlier detection model.
Two main datasets will be used during the workshop :
- Booking data
- and AC.com website search data
TEAM
Rim Harris
Assistant Professor of Operations Management, Desaultels Faculty of Management, McGill University.
Caroline Dietrich
Manager, Revenue Management Science & Innovation, Air Canada.
Lilia Jemai
Partnership Advisor, IVADO.
Yiqin Song
Lead Revenue Management Analysis, Science & Innovation Manager, Air Canada.
Kylian Ajavon
UG Student, CUSRA Awardee Summer 2021, Concordia University.
Md Sujaat Ali
MSc., Mechanical Engineering, Polytechnique Montréal.
Oluwatosin Babasola
PhD, Statistical Applied Mathematics, University of Bath.
Nicolas Boullé
PhD, Mathematics, University of Oxford.
Joanna Chen
MSc., Biostatistics, Yale University.
Mohammad Daneshvar
PhD, Administration, École des sciences de la gestion, UQAM.
Nadia Enhaili
UG Student, Mathematics, Université du Québec à Montréal.
Bojing Jiang
UG Student, Computer Engineering, University of Toronto.
Hewan Leul Kedane
PhD, Data Science, Polytechnique Montréal.
Farinaz Kouhrangiha
PhD, Optical Components/ Fiber Optics/ Electrical Engineer, Concordia University.
Guillaume Le Berre
PhD, Computer Science, Université de Lorraine et Université de Montréal.
Justine Pépin
MSc., Data Science, Université de Montréal.
Mozhgan Saeidi
PhD, Computer Science, Dalhousie University.
Noureddine Toumi
PhD, Electrical Engineering, Polytechnique Montréal.
Quan Zhou
PhD, Operations Management, McGill University.