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Management and Economics OPEN ACCESS

Automation Vs. Intelligence: Limits And Opportunities of Ai in E-Procurement Platforms

Yuliia Zorina
Global Sourcing, Global Leading Media Corporation, Headquarters , USA
Andrii Bikir
CEO Eau Claire Distribution Company, LLC, Eau Claire, Wisconsin, USA
DOI Crossref DOI 10.37547/tajmei/Volume07Issue08-13
tajmei 2025
VOL. 7 / NO. 8 AUGUST
FULL TEXT PP. 145-154
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VOLUME 7
ISSUE 8
YEAR 2025
PAGES 145-154
RESEARCH OVERVIEW

Abstract

This article reviews existing literature on automation and AI in procurement and explores the boundaries and opportunities for the application of artificial intelligence (AI) in electronic procurement systems, considering the ongoing digital transformation in both public and corporate sectors (Vital IT Pros, 2024). The distinction between rule-based automation and intelligent machine learning (ML) – based algorithms is emphasized. The study substantiates the areas where AI solutions can be effectively applied in procurement processes – from predictive analytics to tender documentation processing through natural language processing (NLP) tools. The regulatory and methodological foundations for AI implementation are analyzed, including the EU AI Act, ISO 20400, and the Open Contracting Data Standard (OCDS), while key barriers are identified – technical, ethical, and legal. The risks of algorithmic bias, opacity, and decision-making delegation to autonomous systems are discussed. A set of recommendations is proposed for transparent, ethically grounded, and functionally relevant AI implementation in e-procurement platforms, taking into account stakeholder perspectives.

RESEARCH TOPICS

Keywords

artificial intelligence electronic procurement machine learning rule-based systems tender platforms predictive analytics
SOURCES & SCHOLARSHIP

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