Grant: Engage Grants Program
HEC Montréal
$25,000.00
Optimal booking window assessment under an any airline scenario
EF 2018-19
Résumé
Aimia Canada Inc. manages loyalty programs such as Aeroplan. To offer a better experience to their members,*Aimia wants to leverage airfare data to bonify their services. The first objective of this project is to model the*evolution of airfare through time for the most frequent origin-destination flights booked by Aeroplan members.*Successfully identifying the best time window to purchase the tickets will bring value to both Aimia and its*members. The second objective consists in predicting the time window where a member is most likely to*travel. Combining the knowledge extracted by solving both problems will enable Aimia to generate*personalized offers to their members, offering them the flight they want at the right time to secure a low price.
Programme
Engage Grants Program
Bénéficiaire
Emplacement
Quebec, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
528814-2018
Name nom
Plante, JeanFrançois
Department département
Méthodes quantitatives de gestion, Service de l'enseignement des
Organization id
65
Institution établissement
HEC Montréal
Province en
Québec
Province fr
Québec
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2018
Competition year année de concours
2018
Award amount
25000
Program id
EGP
Program name en
Engage Grants Program
Program name fr
Programme de subventions d'engagement partenariat
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
1552
Committee name en
Quebec Internal Decision Committee
Committee name fr
Comité de décision interne pour le Québec
Area of application code
1001
Area of application group en
Northern development
Area of application group fr
Développement du nord
Area of application en
Construction, transportation and communications
Area of application fr
Construction, transports et communications
Research subject code
3004
Research subject group en
Statistics and probability
Research subject group fr
Statistique et probabilité
Research subject en
Applied statistics
Research subject fr
Statistique appliquée
Partie
1
Nb partie
1
Application title
Optimal booking window assessment under an any airline scenario
Keyword
NSERC
Application summary
Aimia Canada Inc. manages loyalty programs such as Aeroplan. To offer a better experience to their members,*Aimia wants to leverage airfare data to bonify their services. The first objective of this project is to model the*evolution of airfare through time for the most frequent origin-destination flights booked by Aeroplan members.*Successfully identifying the best time window to purchase the tickets will bring value to both Aimia and its*members. The second objective consists in predicting the time window where a member is most likely to*travel. Combining the knowledge extracted by solving both problems will enable Aimia to generate*personalized offers to their members, offering them the flight they want at the right time to secure a low price.
