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Embracing complexity: Data accuracy, process improvements enable planning and procurement tech to thrive.

Authors :
Smith, Matt
Source :
Journal of Commerce (1530-7557); 12/2/2024, Vol. 25 Issue 25, p42-44, 3p
Publication Year :
2024

Abstract

The article emphasizes how data accuracy and process improvements enable planning and procurement technologies to thrive, particularly in light of global supply chain disruptions. Topics include the role of Artificial Intelligence and machine learning in optimizing supply chain management, the importance of tailored software solutions for shippers, and the challenges of navigating regulatory changes and fluctuating markets.

Details

Language :
English
ISSN :
15307557
Volume :
25
Issue :
25
Database :
Complementary Index
Journal :
Journal of Commerce (1530-7557)
Publication Type :
Periodical
Accession number :
181082617