Meta-Intellectual Algorithms in Procurement Logistics: Prospects and Challenges
Journal: Science Journal "NovaInfo" (Vol.146, No. 1)Publication Date: 2025-01-16
Authors : Pilipenko Gennadiy Viktorovich; Sinyutich Daniil Sergeevich;
Page : 113-116
Keywords : DEMAND FORECASTING; META-INTELLECTUAL ALGORITHMS; AUTOMATION; BIG DATA; BLOCKCHAIN; ARTIFICIAL INTELLIGENCE; PROCUREMENT LOGISTICS; SUPPLY OPTIMIZATION;
Abstract
The article examines the potential of applying meta-intellectual algorithms in procurement logistics. It discusses theoretical foundations, key advantages, and examples of successful implementation. Particular attention is paid to tools and technologies that facilitate process automation and enhance procurement efficiency. The conclusion addresses the prospects for the development of meta-intellectual solutions, considering global trends and the specific features of procurement logistics in the Republic of Belarus.
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Last modified: 2025-01-18 13:56:36