Student Work
Predictive Shipping
PublicDownloadable Content
open in viewerUnited 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
- Publisher
- Identifier
- E-project-030417-111948
- Advisor
- Year
- 2017
- Center
- Sponsor
- Date created
- 2017-03-04
- Resource type
- Major
- Rights statement
Relations
- In Collection:
Items
Items
Thumbnail | Title | Visibility | Embargo Release Date | Actions |
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Predictive_Shipping_Cover.pdf | Public | Download |
Permanent link to this page: https://digital.wpi.edu/show/3r074w34g