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Learning from the past to invent the future of last-mile logistics: Today, we need research methodologies that are fast, data-driven, and excel at learning from real-world operational data. Such methods are prevalent in programs driven by AI and machine learning

Authors :
Winkenbach, Matthias
Source :
Supply Chain Management Review. Sept-Oct, 2024, Vol. 28 Issue 5, p8, 3 p.
Publication Year :
2024

Abstract

The meteoric rise of e-commerce has transformed last-mile supply chains as companies strive to stay ahead of changing consumer demands and technological innovation. Technologies--notably artificial intelligence and machine learning--are fueling [...]

Details

Language :
English
ISSN :
15219747
Volume :
28
Issue :
5
Database :
Gale General OneFile
Journal :
Supply Chain Management Review
Publication Type :
Periodical
Accession number :
edsgcl.819529846