Artificial
Intelligence (AI) has the potential to revolutionize various aspects of
business operations.AI can
be used to analyze data and make predictions about demand, optimize logistics
and transportation routes, and identify inefficiencies in the supply chain.
This can lead to improved responsiveness to changes in demand, reduced lead
times, and lower costs. This paper reviews and analyzes the applications of AI
in supply chain management(SCM)
using theScopus
database. The objective is to address the current research gap of AI’s impact on
the performance of SCM, determining the AI techniques that can enhance the
performance of SCM, the SCM subfields that have high potential to be enhanced
by AI, the impact of AI application on the performance of SCM, and how the
performance can be described in agile-lean perspective. Scopus database was utilized to outline and identify the active
countries/regionsin the field of AI impact on SCM performance, subject area, and type of documents.
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