Student Work

Price and Revenue Optimization

Public

Downloadable Content

open in viewer

This project applies mathematical techniques to design a process by which an insurance company can optimize revenue. The main objective is to categorize client portfolios using K-means algorithm to segment the market. After clusters are obtained, a logistic regression is applied to determine the optimal premium increase/decrease that maximizes the revenue for each cluster, based its specific characteristics. Applying the optimal premium change to each customer subgroup, the firm will increase its overall revenue.

  • This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.
Creator
Publisher
Identifier
  • E-project-121407-111650
Advisor
Year
  • 2007
Sponsor
Date created
  • 2007-12-14
Resource type
Major
Rights statement
Last modified
  • 2021-01-27

Relations

In Collection:

Items

Items

Permanent link to this page: https://digital.wpi.edu/show/zk51vj27t