Grant: Engage Grants Program
University of Ontario Institute of Technology
$25,000.00
Systematic document recognition and validation services in automobile purchasing with Liasn
FY 2015-16
Summary
Liasn Exchange Inc. is a Canadian own start up business providing sales processing services to the automotive industry. Their initial client base includes the 768 Ontario based automotive dealerships. The business' challenge is automating the vehicle sales cycle which involves the interchange of several documents including purchasing, insurance and financing between several parties including the provincial government, private insurer, the automobile purchaser and dealership. The process is currently mainly paper-based with the exchange of documents through fax and dealers having their own format for providing purchasing information.
Liasn is providing an automation service that will use optical readers to digitally transfer the information to serve as a precursor to industry format standardization. Thus their system needs to adaptively learn to recognize a variety of formats to identify the necessary information required by each of the sales cycle parties (government, insurer, etc.). The research will also involve learning and searching for fraud and validating correct information has been provided.
This research project will significantly reduce human error due to transcribing information, fraud within the industry and delays processing and improperly or uninsured or mistakenly financed drivers. Such issues are of significant interest to the Ontario government, insurance companies and finance businesses as they can pose a
significant liability in cases of automobile accidents involving such improperly/incorrectly processed
automotive purchasers.
Program
Engage Grants Program
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
491048-2015
Name nom
Lu, Fletcher
Department département
Business and Information Technology, Faculty of
Organization id
19222
Institution établissement
University of Ontario Institute of Technology
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2015
Competition year année de concours
2015
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
1553
Committee name en
Ontario Internal Decision Committee
Committee name fr
Comité de décision interne pour l'Ontario
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
2805
Research subject group en
Artificial intelligence
Research subject group fr
Intelligence artificielle
Research subject en
Learning and inference theories
Research subject fr
Théories de l'apprentissage et l'inférence
Partie
1
Nb partie
1
Application title
Systematic document recognition and validation services in automobile purchasing with Liasn
Keyword
NSERC
Application summary
Liasn Exchange Inc. is a Canadian own start up business providing sales processing services to the automotive industry. Their initial client base includes the 768 Ontario based automotive dealerships. The business' challenge is automating the vehicle sales cycle which involves the interchange of several documents including purchasing, insurance and financing between several parties including the provincial government, private insurer, the automobile purchaser and dealership. The process is currently mainly paper-based with the exchange of documents through fax and dealers having their own format for providing purchasing information.
Liasn is providing an automation service that will use optical readers to digitally transfer the information to serve as a precursor to industry format standardization. Thus their system needs to adaptively learn to recognize a variety of formats to identify the necessary information required by each of the sales cycle parties (government, insurer, etc.). The research will also involve learning and searching for fraud and validating correct information has been provided.
This research project will significantly reduce human error due to transcribing information, fraud within the industry and delays processing and improperly or uninsured or mistakenly financed drivers. Such issues are of significant interest to the Ontario government, insurance companies and finance businesses as they can pose a
significant liability in cases of automobile accidents involving such improperly/incorrectly processed
automotive purchasers.