Celebration of Scholars
Variations on the Intelliscript Bidding Simulation
Name:
Alexandria Wheeler
Major: Mathematics
Hometown: Kenosha, WI
Faculty Sponsor:
Haley Yaple
Other Sponsors:
Type of research: Course project
Name:
Alec DiGirolamo
Major: Mathematics
Hometown: Kenosha, WI
Faculty Sponsor:
Haley Yaple
Other Sponsors:
Type of research: Course project
Name:
Andrew Dorst
Major: Mathematics
Hometown: Kenosha, WI
Faculty Sponsor:
Haley Yaple
Other Sponsors:
Type of research: Course project
Name:
Mary Hussey
Major: Mathematics
Hometown: Arlington Heights, IL
Faculty Sponsor:
Haley Yaple
Other Sponsors:
Type of research: Course project
Abstract
This work was done as a research project for a class in the
national PIC Mathematics (Preparation for Industrial Careers in Mathematics)
program. The course is set up as project-oriented learning partnered with an
outside business, in our case Intelliscript, in which we work in small groups
on a mathematically founded question presented by the company. Intelliscript
offers its clients automated underwriting services designed to improve cost
margins. To prove the value of their product to potential clients, they have a
bidding simulation in place that creates a simulated group insurance market by
comparing the client’s original and Intelliscript adjusted risk factors. The
simulation currently assumes that the consumer will always only choose the
cheaper option between the two. Using a retrospective study of data used in the
bidding simulation, our goal is to improve this bidding system by making this
decision more probabilistic than binary and introducing more competition into
the simulated market than simply Intelliscript and the client. These
improvements will in turn produce a more realistically projected client profit.