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Massachusetts Institute of Technology

Artificial intelligence and the consumer packaged goods supply chain

Abstract

dc:description.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.

Degree

thesis:*
Department dc:contributor.department
Sloan School of Management.
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2018

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Blanco, Ana Paula
Advisor dc:contributor.advisor
  • Michael Cusumano.

Subjects

dc:subject × 2

Rights

dc:rights
Statement 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.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/1721.1/117958
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/117958

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Blanco, Ana Paula. Artificial intelligence and the consumer packaged goods supply chain. Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/117958