Home|Journals|Articles by Year|Audio Abstracts
 

Research Article

EEO. 2021; 20(1): 8753-8756


IDENTIFICATION OF THE UTILITY OF ARTIFICIAL INTELLIGENCE IN MONITORING SUPPLY CHAIN MANAGEMENT

Mrs. Koli Neha Rajendra, Prof. (Dr.) Prakash Divakaran.




Abstract

Boost in decision-making, swiftness in cutting down cycle times, speed in procedures, as well as speed in constant betterment. AI in the supply chain is here to stay and make waves in the times to come. Nowadays linked digital world, increasing efficiency by means of lessening uncertainties is the leading concern throughout industries. Rising anticipations of supersonic acceleration as well as efficiencies concerning suppliers and business associates of all types further more highlights the demand for the industry to control the ability of the Artificial Intelligence (AI) in supply chains as well as logistics. By way of their capacity to deal with mass data, AI powered tools can demonstrate to be remarkably successful in inventory administration. Such intelligent systems can evaluate and translate enormous datasets promptly, offering regular information on predicting supply and demand. This paper focuses on utility of AI for SCM.

Key words: Artificial Intelligence, Supply chain management, text mining, data analysis.






Full-text options


Share this Article


Online Article Submission
• ejmanager.com




ejPort - eJManager.com
Refer & Earn
JournalList
About BiblioMed
License Information
Terms & Conditions
Privacy Policy
Contact Us

The articles in Bibliomed are open access articles licensed under Creative Commons Attribution 4.0 International License (CC BY), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.