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
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
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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.