ISSN2320-2882
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Paper Title

AI-Powered Tender Flow and Procurement Optimization System

Authors

SURISETTI SRINIVAS , KOTARI SAI HARSHAVARDHAN , SAMSANI BHUVANA SATYA , RONGALI SAI DEEPAK , THIRUPATHI YUVA JAYA SATYA

Keywords

AI-Powered Procurement, Tender Management System, Semantic Search, Bid Intelligence, Anomaly Detection, Real-Time Collaboration, Transparent Procurement

Abstract

The project "AI-Powered Tender Flow and Procurement Optimization System" will provide a new smart, fully-automated platform for the entire tender cycle from tender creation to tender evaluation and award. Artificial Intelligence (AI) models will be used to develop semantic tender search, intelligent bid comparison and anomaly detection to identify fraudulent or unrealistic bids. Real time updates and notifications are enabled by using Socket.IO to ensure instant communication between tender owner and bidder. Secure and separated access for all interested parties is ensured by role based access control. The frontend will be developed as an application based on Next.js and React. In addition, the backend will be developed with Node.js and Express.js as well as a MongoDB database to securely store all data and for analysis purposes. A completely manual free of errors, risk-reduced procurement process with enhanced confidence in all parties involved, will be realized by this system. Additionally, performance and scalability will be demonstrated through a successful cloud deployment and load test.

How To Cite

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IJCRT — journal style
"AI-Powered Tender Flow and Procurement Optimization System", IJCRT - International Journal of Creative Research Thoughts (www.ijcrt.org), ISSN:2320-2882, Vol.14, Issue 2, page no.g378-g387, February 2026, Available :https://ijcrt.org/papers/IJCRT2602733.pdf
APA — 7th edition
SRINIVAS, S., HARSHAVARDHAN, K. S., SATYA, S. B., DEEPAK, R. S., & SATYA, T. Y. J. (2026). AI-Powered Tender Flow and Procurement Optimization System. International Journal of Creative Research Thoughts, 14(2), g378-g387. https://ijcrt.org/viewpaperforall.php?paper=IJCRT2602733
MLA — 9th edition
SRINIVAS, SURISETTI, et al. "AI-Powered Tender Flow and Procurement Optimization System." International Journal of Creative Research Thoughts, vol. 14, no. 2, 2026, pp. g378-g387, https://ijcrt.org/viewpaperforall.php?paper=IJCRT2602733.
Chicago — 17th, bibliography
SRINIVAS, SURISETTI, et al. "AI-Powered Tender Flow and Procurement Optimization System." International Journal of Creative Research Thoughts 14, no. 2 (2026): g378-g387. https://ijcrt.org/viewpaperforall.php?paper=IJCRT2602733.
Harvard — author–date
SRINIVAS, S. et al. (2026) 'AI-Powered Tender Flow and Procurement Optimization System', International Journal of Creative Research Thoughts, 14(2), pp. g378-g387. Available at: https://ijcrt.org/viewpaperforall.php?paper=IJCRT2602733
IEEE — numbered reference
S. SRINIVAS, K. S. HARSHAVARDHAN, S. B. SATYA, R. S. DEEPAK and T. Y. J. SATYA, "AI-Powered Tender Flow and Procurement Optimization System," IJCRT, vol. 14, no. 2, pp. g378-g387, Feb. 2026.
Vancouver — biomedical
SRINIVAS S, HARSHAVARDHAN KS, SATYA SB, DEEPAK RS, SATYA TYJ. AI-Powered Tender Flow and Procurement Optimization System. IJCRT. 2026 Feb;14(2):g378-g387.
AMA — 11th edition
SRINIVAS S, HARSHAVARDHAN KS, SATYA SB, DEEPAK RS, SATYA TYJ. AI-Powered Tender Flow and Procurement Optimization System. IJCRT. 2026;14(2):g378-g387. Accessed at https://ijcrt.org/viewpaperforall.php?paper=IJCRT2602733
BibTeX — Zotero, Mendeley, LaTeX
@article{IJCRT2602733, author = {SURISETTI SRINIVAS and KOTARI SAI HARSHAVARDHAN and SAMSANI BHUVANA SATYA and RONGALI SAI DEEPAK and THIRUPATHI YUVA JAYA SATYA}, title = {AI-Powered Tender Flow and Procurement Optimization System}, journal = {International Journal of Creative Research Thoughts}, volume = {14}, number = {2}, pages = {g378-g387}, year = {2026}, month = {February}, issn = {2320-2882}, url = {https://ijcrt.org/viewpaperforall.php?paper=IJCRT2602733} }
RIS — EndNote, RefWorks
TY - JOUR AU - SRINIVAS, SURISETTI AU - HARSHAVARDHAN, KOTARI SAI AU - SATYA, SAMSANI BHUVANA AU - DEEPAK, RONGALI SAI AU - SATYA, THIRUPATHI YUVA JAYA TI - AI-Powered Tender Flow and Procurement Optimization System T2 - International Journal of Creative Research Thoughts JA - IJCRT VL - 14 IS - 2 PY - 2026 SN - 2320-2882 UR - https://ijcrt.org/viewpaperforall.php?paper=IJCRT2602733 SP - g378-g387 ER -

Issue

Volume 14 Issue 2, February-2026
Pages : g378-g387

Article Information

Pages
g378-g387
Published
February 2026
Registration ID
IJCRT_302253
Published Paper ID
IJCRT2602733
Research Area
Science and Technology
Author Type
Indian Author
Location
Tuni, Andhra Pradesh, India
Licence
CC BY 4.0 · Open Access
ISSN & Impact Factor
2320-2882 · IF 9.17
Downloads
177

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International Journal of Creative Research Thoughts Published by IJCRT Publication
2320-2882 ISSN
9.17 Impact Factor
2013 ESTD Year
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Impact Factor 9.17, calculated from Google Scholar citation data — see how it is worked out.
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Licence

© 2026 — Authors hold the copyright of this article. This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.
 Disclaimer: The content, data and findings in this article are based on the authors’ research and have been peer-reviewed for academic purposes only. Readers are advised to verify all information before practical or commercial use. The journal and its editorial board are not liable for any errors, losses or consequences arising from its use.

Declarations

Funding

No external funding was received for this study.

Conflict of Interest

The authors declare that they have no conflict of interest.

Acknowledgements

The authors would like to thank the reviewers and the editorial board of International Journal of Creative Research Thoughts for their careful reading and constructive comments, and all colleagues who supported the preparation of this manuscript.

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