Maximizing Profits in a Warehouse and Distribution Business Using Segmentation Analysis

In 2019 most of sponsor company’s transactions came from its freight forwarding service. Due to strategic alliances between retail giants and freight carriers, the profit margins of independent freight forwarders are being squeezed. To survive the company needs to ensure that its warehousing and dis...

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Main Authors: Darmesh, Aidar, Mantellini Bracho, Ramón Alberto
Format: Other
Language:en_US
Published: 2021
Subjects:
Online Access:https://hdl.handle.net/1721.1/130961
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author Darmesh, Aidar
Mantellini Bracho, Ramón Alberto
author_facet Darmesh, Aidar
Mantellini Bracho, Ramón Alberto
author_sort Darmesh, Aidar
collection MIT
description In 2019 most of sponsor company’s transactions came from its freight forwarding service. Due to strategic alliances between retail giants and freight carriers, the profit margins of independent freight forwarders are being squeezed. To survive the company needs to ensure that its warehousing and distribution services are sufficiently profitable. However, company’s existing accounting methodology does not show profitability by operations. This project develops a transaction-level cost and revenue allocation model and applies a profit-mapping technique to identify profitability of the business units, customers and services. A more granular analysis revealed the key profit levers which can be deployed to grow company’s profits. The profit mapping showed that most customers responsible for higher-than-average gross margins do not have higher profits due to intensive use of fixed-cost resources. To maximize profits the company should target reduction of specific cost items, bundle unprofitable services with profitable ones, and exercise caution in pruning customers.
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spelling mit-1721.1/1309612021-06-17T03:00:29Z Maximizing Profits in a Warehouse and Distribution Business Using Segmentation Analysis Darmesh, Aidar Mantellini Bracho, Ramón Alberto Data Analytics Warehouse Supply Chain Strategy In 2019 most of sponsor company’s transactions came from its freight forwarding service. Due to strategic alliances between retail giants and freight carriers, the profit margins of independent freight forwarders are being squeezed. To survive the company needs to ensure that its warehousing and distribution services are sufficiently profitable. However, company’s existing accounting methodology does not show profitability by operations. This project develops a transaction-level cost and revenue allocation model and applies a profit-mapping technique to identify profitability of the business units, customers and services. A more granular analysis revealed the key profit levers which can be deployed to grow company’s profits. The profit mapping showed that most customers responsible for higher-than-average gross margins do not have higher profits due to intensive use of fixed-cost resources. To maximize profits the company should target reduction of specific cost items, bundle unprofitable services with profitable ones, and exercise caution in pruning customers. 2021-06-16T17:02:01Z 2021-06-16T17:02:01Z 2021-06-16 Other https://hdl.handle.net/1721.1/130961 en_US CC0 1.0 Universal http://creativecommons.org/publicdomain/zero/1.0/ application/pdf
spellingShingle Data Analytics
Warehouse
Supply Chain Strategy
Darmesh, Aidar
Mantellini Bracho, Ramón Alberto
Maximizing Profits in a Warehouse and Distribution Business Using Segmentation Analysis
title Maximizing Profits in a Warehouse and Distribution Business Using Segmentation Analysis
title_full Maximizing Profits in a Warehouse and Distribution Business Using Segmentation Analysis
title_fullStr Maximizing Profits in a Warehouse and Distribution Business Using Segmentation Analysis
title_full_unstemmed Maximizing Profits in a Warehouse and Distribution Business Using Segmentation Analysis
title_short Maximizing Profits in a Warehouse and Distribution Business Using Segmentation Analysis
title_sort maximizing profits in a warehouse and distribution business using segmentation analysis
topic Data Analytics
Warehouse
Supply Chain Strategy
url https://hdl.handle.net/1721.1/130961
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