CHALLENGES FOR THE IMPLEMENTATION OF ARTIFICIAL INTELLIGENCE IN THE E-PROCUREMENT PROCESS WITHIN INDUSTRIES OF THE INDUSTRIAL POLE OF MANAUS

Abstract

This article sought to identify the challenges faced by industries in the Manaus Industrial Pole (PIM) in implementing artificial intelligence (AI) in e-procurement processes. The research was conducted through a literature review and questionnaires administered to procurement professionals at PIM companies. The results indicate the existence of organizational and financial barriers to the adoption of AI in e-procurement processes, most notably the high costs of implementing the tool, companies’ technological limitations, the lack of specialized knowledge, and concerns about data protection. In addition, risks associated with the use of this technology in procurement are evident, the most common being cybersecurity failures, a lack of transparency in data handling, and the absence of traceability and process reliability. The study shows that the presence of these barriers, combined with the risks involved and financial difficulties, limits incentives for PIM companies to adopt artificial intelligence in e-procurement. Despite these challenges, the application of AI in procurement offers potential gains in productivity, process optimization, and improved decision-making.