<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-09-20T12:12:13Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/117958" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/117958</identifier><datestamp>2022-01-13T07:55:20Z</datestamp><setSpec>com_1721.1_7582</setSpec><setSpec>com_1721.1_7581</setSpec><setSpec>col_1721.1_131023</setSpec></header><metadata><dim:dim xmlns:dim="http://www.dspace.org/xmlns/dspace/dim" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.dspace.org/xmlns/dspace/dim http://www.dspace.org/schema/dim.xsd">
   <dim:field mdschema="dc" element="contributor" qualifier="advisor" lang="en_US">Michael Cusumano.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Blanco, Ana Paula</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Technology and Policy Program.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Sloan School of Management</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2018-09-17T15:51:33Z</dim:field>
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   <dim:field mdschema="dc" element="description" lang="en_US">Thesis: S.M. in Management of Technology, Massachusetts Institute of Technology, Sloan School of Management, 2018.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Cataloged from PDF version of thesis.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (pages 61-63).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">This study explores how Goods (CPG) industry to what trends this industry supply chain in the next solutions in an attempt to of this technology. Artificial Intelligence (AI) will help the Consumer Packaged address the future challenges in its supply chain. It analyses is already exposed to, and the impacts of those trends in its five years. The work also explores examples of available Al match the demand generated by future trends with the supply The scope is limited to the CPG manufacturers with a bigger focus on planning and distribution rather than manufacturing, since these processes are present in any company with small variances. Other supply chain players such as material suppliers, retailers, distributors, third party logistics (3PL), etc. are covered at a high level since they are part of the network and influence the dynamic of the system.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Ana Paula Blanco.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">S.M. in Management of Technology</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">63 pages</dim:field>
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   <dim:field mdschema="dc" element="publisher" lang="en_US">Massachusetts Institute of Technology</dim:field>
   <dim:field mdschema="dc" element="rights" lang="en_US">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.</dim:field>
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   <dim:field mdschema="dc" element="title" lang="en_US">Artificial intelligence and the consumer packaged goods supply chain</dim:field>
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   	&lt;Title>Artificial intelligence and the consumer packaged goods supply chain&lt;/Title>
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   	&lt;PublicationDate>2018&lt;/PublicationDate>
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   	&lt;Abstract>This study explores how Goods (CPG) industry to what trends this industry supply chain in the next solutions in an attempt to of this technology. Artificial Intelligence (AI) will help the Consumer Packaged address the future challenges in its supply chain. It analyses is already exposed to, and the impacts of those trends in its five years. The work also explores examples of available Al match the demand generated by future trends with the supply The scope is limited to the CPG manufacturers with a bigger focus on planning and distribution rather than manufacturing, since these processes are present in any company with small variances. Other supply chain players such as material suppliers, retailers, distributors, third party logistics (3PL), etc. are covered at a high level since they are part of the network and influence the dynamic of the system.&lt;/Abstract>
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