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The Impact of Automation and AI on Public Procurement Performance in Tanzania

Jun 2026 · Asian Journal of Education and Social Studies · Vol 52, pp. 165-178 · 0 citations

TL;DR

The findings show that automation and AI are used in preparing and managing procurement documentation and simplifying technical language, and contribute to minimising human error, enhancing financial control, reducing opportunities for corruption, and improving operational efficiency and capacity building.

Abstract

This paper describes the impact of automation and artificial intelligence (AI) on public procurement performance in Tanzania. Procurement has developed from a simple purchasing activity into a strategic function that enhances organisational performance; therefore, technologies such as AI and automation are increasingly transforming procurement by supporting informed decision-making, reducing operational costs, and improving supplier management. However, sustainable public procurement has received limited attention in relation to broader national policy objectives. The study employed a qualitative approach and a cross-sectional design, with a purposively selected sample of twenty participants. Interviews and focus group discussions were used to collect data, which were analysed thematically with direct quotations. The findings show that automation and AI are used in preparing and managing procurement documentation and simplifying technical language. Robust automation and AI also contribute to minimising human error, enhancing financial control, reducing opportunities for corruption, and improving operational efficiency and capacity building. The study concludes that public and private institutions are better positioned to use digitalisation, including robust automation and AI, in procurement systems to enhance the prudent and efficient use of financial resources in accordance with established regulatory and fiscal standards. It is recommended that institutions prioritise the transition from manual procurement processes to fully digitalised systems and provide comprehensive training for procurement and supply officers on the effective use of Robust Automation and AI systems. Policymakers should also develop clear regulatory frameworks governing automation and AI in procurement to ensure ethical use.

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