BrokerAID Risk Assessment Automation System

This project focuses on developing UW InsureTech’s deep learning product to help the broker to optimize their current clients’ group and also help them to predict the potential risk and cost-benefit values. This service will help brokers to give better service to their target customers, monitoring the risks involved. Brokers can do more upsell and cross-sell on high-value customers to earn more profit. Planning alternative strategies for the low-value customers, who will cost brokers a lot of time without generating any profit. The system predicted results will be valuable to both brokers and the insurance company, delivering client-based services.

Faculty Supervisor:

Irene Cheng

Student:

Partner:

UW InsureTech

Discipline:

Computer science

Sector:

Finance and Insurance

University:

University of Alberta

Program: