Who Are You Gonna Call?: A Smart Recommendation System for Carrier-Shipper Matching

For a broker in the transportation industry, one of the most critical decisions for the carrier representatives within the company is determining which carrier to select for a customer load. In order to determine which carrier would be the best for a shipment, certain criteria need to be selected in...

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Bibliographic Details
Main Authors: Fellin, Lauren Jennifer, Lin, Kai-Wei
Format: Thesis
Language:en_US
Published: 2022
Subjects:
Online Access:https://hdl.handle.net/1721.1/143092
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author Fellin, Lauren Jennifer
Lin, Kai-Wei
author_facet Fellin, Lauren Jennifer
Lin, Kai-Wei
author_sort Fellin, Lauren Jennifer
collection MIT
description For a broker in the transportation industry, one of the most critical decisions for the carrier representatives within the company is determining which carrier to select for a customer load. In order to determine which carrier would be the best for a shipment, certain criteria need to be selected in order to align and develop a scorecard ranking system. To decide which carrier should be selected from its database for a shipment, GlobalTranz is seeking a strategic scorecard system that would complement its current carrier-shipper matching platform. In this capstone project, a customized ranking system was developed that would allow the carrier representatives to make strategic decisions. A narrowed down list of criteria was created that encompassed three major metrics including geographical fit, level of service, and financial fit. The prototype recommendation system will enable the carrier representative’s decision to be more objective. This solution will standardize the current decision process and facilitate efficiency in the future.
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spelling mit-1721.1/1430922022-07-21T04:40:18Z Who Are You Gonna Call?: A Smart Recommendation System for Carrier-Shipper Matching Fellin, Lauren Jennifer Lin, Kai-Wei Transportation Data Analytics For a broker in the transportation industry, one of the most critical decisions for the carrier representatives within the company is determining which carrier to select for a customer load. In order to determine which carrier would be the best for a shipment, certain criteria need to be selected in order to align and develop a scorecard ranking system. To decide which carrier should be selected from its database for a shipment, GlobalTranz is seeking a strategic scorecard system that would complement its current carrier-shipper matching platform. In this capstone project, a customized ranking system was developed that would allow the carrier representatives to make strategic decisions. A narrowed down list of criteria was created that encompassed three major metrics including geographical fit, level of service, and financial fit. The prototype recommendation system will enable the carrier representative’s decision to be more objective. This solution will standardize the current decision process and facilitate efficiency in the future. 2022-06-13T13:55:17Z 2022-06-13T13:55:17Z 2022-06-13 Thesis https://hdl.handle.net/1721.1/143092 en_US CC0 1.0 Universal http://creativecommons.org/publicdomain/zero/1.0/ application/pdf
spellingShingle Transportation
Data Analytics
Fellin, Lauren Jennifer
Lin, Kai-Wei
Who Are You Gonna Call?: A Smart Recommendation System for Carrier-Shipper Matching
title Who Are You Gonna Call?: A Smart Recommendation System for Carrier-Shipper Matching
title_full Who Are You Gonna Call?: A Smart Recommendation System for Carrier-Shipper Matching
title_fullStr Who Are You Gonna Call?: A Smart Recommendation System for Carrier-Shipper Matching
title_full_unstemmed Who Are You Gonna Call?: A Smart Recommendation System for Carrier-Shipper Matching
title_short Who Are You Gonna Call?: A Smart Recommendation System for Carrier-Shipper Matching
title_sort who are you gonna call a smart recommendation system for carrier shipper matching
topic Transportation
Data Analytics
url https://hdl.handle.net/1721.1/143092
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