Faculty Advisor

Claypool, Mark L.

Center

SILV / Silicon Valley, Ca, Project Center

Abstract

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.

Publisher

Worcester Polytechnic Institute

Date Accepted

March 2017

Major

Computer Science

Project Type

Major Qualifying Project

Accessibility

Unrestricted

Advisor Department

Computer Science

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