Grant: Applied Research and Development Grants - Level 1
Durham College
$25,000.00
Ticket Sales Automation using artificial intelligence
FY 2018-19
Summary
Technological advancements have changed the way consumers buy services and products. There is a significant shift from physical tickets and at-home printing to a fully digitized mobile ticketing experience. Seat Giant Inc., an Ontario company, sells event tickets to every major sporting event and concert in Canada. They are the only Canadian company in this business that sells tickets to major sporting events and concerts. They have already impacted the Canadian market by offering the most competitive pricing to buy tickets for family events and concerts. They outsource various portions of their processes. They currently have a website with minimal functionalities and integrations with third party APIs. In this project, Durham College will develop a new database and API server to host their back-end and integrate third parties into the newly created API server. The website will be recreated which will be mobile compatible and integrate new API and database. In addition to this DC will be implementing AI, more specifically Recommender Systems, to recommend events and tickets based on user purchase and interest habits. This will give them a competitive advantage by offering user-centric, personalized suggestions for a larger revenue stream.
Program
Applied Research and Development Grants - Level 1
Recipient
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
533636-2018
Name nom
Tyagi, Vibha
Department département
Head Office
Organization id
2465
Institution établissement
Durham College
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2018
Competition year année de concours
2018
Award amount
25000
Program id
CARD1
Program name en
Applied Research and Development Grants - Level 1
Program name fr
Subventions de recherche et développement appliquée - niveau 1
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
1561
Committee name en
Applied Research and Development Grants
Committee name fr
Subventions de recherche et développement appliquée
Area of application code
800
Area of application group en
Information and communication services
Area of application group fr
Services d'information et de télécommunications
Area of application en
Information and communication services
Area of application fr
Services d'information et de télécommunications
Research subject code
2700
Research subject group en
Information technology
Research subject group fr
Technologie de l'information
Research subject en
Information technology
Research subject fr
Technologie de l'information
Partie
1
Nb partie
1
Application title
Ticket Sales Automation using artificial intelligence
Keyword
NSERC
Application summary
Technological advancements have changed the way consumers buy services and products. There is a significant shift from physical tickets and at-home printing to a fully digitized mobile ticketing experience. Seat Giant Inc., an Ontario company, sells event tickets to every major sporting event and concert in Canada. They are the only Canadian company in this business that sells tickets to major sporting events and concerts. They have already impacted the Canadian market by offering the most competitive pricing to buy tickets for family events and concerts. They outsource various portions of their processes. They currently have a website with minimal functionalities and integrations with third party APIs. In this project, Durham College will develop a new database and API server to host their back-end and integrate third parties into the newly created API server. The website will be recreated which will be mobile compatible and integrate new API and database. In addition to this DC will be implementing AI, more specifically Recommender Systems, to recommend events and tickets based on user purchase and interest habits. This will give them a competitive advantage by offering user-centric, personalized suggestions for a larger revenue stream.