Detection of « Total Loss » claims through images

Intact Financial Corporation is Canada’s largest provider of property and casualty insurance by annual premiums. Intact aims to offer expedited claims service to its customers. When opening a claim, Intact already asks its customers to provide images of the vehicle that allow prior identification of the general condition of the vehicle. The intern will have to extract the information automatically from the images that will be attached to the file. Intact then wants to explore different approach through supervised machine learning to shorten the steps deemed critical in the claims process. Customer satisfaction is greatly influenced by the time required to resolve a claim. The main objectives of this project are to shorten these delays and improve the productivity of employees assigned to claims.

Faculty Supervisor:

Ioannis Mitliagkas

Student:

Partner:

Intact

Discipline:

Computer science

Sector:

Finance and Insurance

University:

Université de Montréal

Program: