| dc.contributor.advisor | Vivek F. Farias. | en_US |
| dc.contributor.author | Valera, Giselle Elisa | en_US |
| dc.contributor.other | Sloan School of Management. | en_US |
| dc.coverage.spatial | n-us--- | en_US |
| dc.date.accessioned | 2017-09-15T15:35:36Z | |
| dc.date.available | 2017-09-15T15:35:36Z | |
| dc.date.issued | 2017 | en_US |
| dc.identifier.uri | http://hdl.handle.net/1721.1/111470 | |
| dc.description | Thesis: M.B.A., Massachusetts Institute of Technology, Sloan School of Management, 2017. | en_US |
| dc.description | "June 2017." Cataloged from PDF version of thesis. | en_US |
| dc.description | Includes bibliographical references (pages 69-72). | en_US |
| dc.description.abstract | The United States Postal Service (USPS) faces intense competitive pressure in the shipping business. At the same time, shipping is becoming an increasingly critical segment of revenue and profitability for USPS. USPS' existing retail sales data can be analyzed for opportunities to improve profitability and the consumer experience. This paper introduces assortment optimization techniques USPS can use to identify improvements to their current retail pricing approach. | en_US |
| dc.description.statementofresponsibility | by Giselle Elisa Valera. | en_US |
| dc.format.extent | 72 pages | en_US |
| dc.language.iso | eng | en_US |
| dc.publisher | Massachusetts Institute of Technology | en_US |
| dc.rights | MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission. | en_US |
| dc.rights.uri | http://dspace.mit.edu/handle/1721.1/7582 | en_US |
| dc.subject | Sloan School of Management. | en_US |
| dc.title | Quantitative methods for testing pricing strategies at the United States Postal Service | en_US |
| dc.type | Thesis | en_US |
| dc.description.degree | M.B.A. | en_US |
| dc.contributor.department | Sloan School of Management | |
| dc.identifier.oclc | 1003321940 | en_US |
