United States Postal Service offers several mail classes that vary in shipping time and price. First class is the most economical shipping method, but it does not guarantee a delivery date. Endicia, our sponsor, did not have a tool that could accurately predict when first class packages would deliver. This project produced a validated prototype that forecasts delivery time distributions using conditional probability. The results showed that shipping times highly depend on when a package was originally dropped off. Ultimately, this prototype can help Endicia’s business clients greatly optimize their shipping costs.

• 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

• Beaulieu, Matthew S
• McMaster, Derek Matthew
• Leung, Tiffany

Publisher

• Worcester Polytechnic Institute

Identifier

• E-project-030417-111948

Advisor

• Claypool, Mark L.

Year

• 2017

Center

• Silicon Valley, California Project Center - MQP

Sponsor

• Endicia

Date created

• 2017-03-04

Resource type

• Major Qualifying Project

Major

• Computer Science

Rights statement

• In Copyright