A Study on Making Public Procurement Effective, Efficient and Transparent by Incorporating Artificial Intelligence (AI) Techniques in Government e-Marketplace (GeM)


Authors : Rahul Mishra

Volume/Issue : Volume 10 - 2025, Issue 9 - September


Google Scholar : https://tinyurl.com/2zs9dm4a

Scribd : https://tinyurl.com/yc83ethf

DOI : https://doi.org/10.38124/ijisrt/25sep1005

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Abstract : Public procurement plays a vital role in ensuring accountability, transparency, and efficiency in government expenditure. The Government e-Marketplace (GeM) has emerged as a digital platform to streamline procurement processes in India by promoting competitive bidding, transparency, and inclusivity. However, challenges such as quality assurance, vendor credibility, process delays, and data management still hinder its full potential. This study explores how Artificial Intelligence (AI) techniques can be integrated into GeM to address these limitations and transform procurement into a more effective, efficient, and transparent system. The paper examines AI applications such as predictive analytics for demand forecasting, natural language processing for automated tender evaluation, machine learning for fraud detection and vendor risk assessment, and chatbots for grievance redressal and buyer–seller support. By analyzing global best practices and identifying potential AI-driven solutions, the study highlights how intelligent automation can enhance decision-making, reduce human bias, ensure compliance, and improve stakeholder trust. The findings suggest that incorporating AI into GeM can significantly strengthen the public procurement ecosystem by improving efficiency, minimizing risks, and ensuring greater transparency in government transactions.

Keywords : Government e-Marketplace (GeM), Artificial Intelligence, Tender, Data Privacy, Automation.

References :

[1]. Saurabh Bansal & Neelesh Jain, “A Study on the Impact of Artificial Intelligence Techniques in Enhancing Electronic Public Procurement System.”

[2]. Devendra Pai, “GOVERNMENT E-MARKETPLACE: A GEM OF AN IDEA.”

[3]. El Asri, H., & Benhlima, L. (2022, August 15). Artificial Intelligence-Based Process Automation in eProcurement: A Systematic Literature Review. Journal of Theoretical and Applied Information Technology, 100(15). ISSN: 1992-8645. Retrieved from http://www.jatit.org.

[4]. Buvaneswari, P. S., & Perveen, F. (2019). Government e-market: Procurement re-imagined. Adalya, 8, 1387-1396.

[5]. PIB. (2024). Government e-Marketplace registers highest ever Gross Merchandise. Retrieved from https://pib.gov.in/PressReleaseIframePage.aspx?PRID=1945150

[6]. The Government e-Marketplace. (n.d.). Government e-Marketplace: A game changer. Retrieved from https://static.pib.gov.in/WriteReadData/specificdocs/documents/2023/apr/doc2023427188401.pdf

Public procurement plays a vital role in ensuring accountability, transparency, and efficiency in government expenditure. The Government e-Marketplace (GeM) has emerged as a digital platform to streamline procurement processes in India by promoting competitive bidding, transparency, and inclusivity. However, challenges such as quality assurance, vendor credibility, process delays, and data management still hinder its full potential. This study explores how Artificial Intelligence (AI) techniques can be integrated into GeM to address these limitations and transform procurement into a more effective, efficient, and transparent system. The paper examines AI applications such as predictive analytics for demand forecasting, natural language processing for automated tender evaluation, machine learning for fraud detection and vendor risk assessment, and chatbots for grievance redressal and buyer–seller support. By analyzing global best practices and identifying potential AI-driven solutions, the study highlights how intelligent automation can enhance decision-making, reduce human bias, ensure compliance, and improve stakeholder trust. The findings suggest that incorporating AI into GeM can significantly strengthen the public procurement ecosystem by improving efficiency, minimizing risks, and ensuring greater transparency in government transactions.

Keywords : Government e-Marketplace (GeM), Artificial Intelligence, Tender, Data Privacy, Automation.

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Paper Submission Last Date
31 - December - 2025

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