Published on: May 2026
TECHNICAL ESTIMATION EMPOWERING PROPOSAL EXCELLENCE
Kailas Mesagi Sonawane
Prof. Abhijit G. Bharati
ZEAL INSTITUTE OF BUSINESS ADMINISTRATION COMPUTER APPLICATION & RESEARCH (ZIBACAR) PUNE
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Abstract
This research project explores the transformative role of Artificial Intelligence (AI) in improving the accuracy, efficiency, and strategic value of technical estimation processes used in proposal development. In todayâs competitive business environment, organizations must deliver precise, timely, and cost-effective proposals to secure contracts and maintain profitability. Traditional estimation methods, often reliant on manual calculations and historical judgment, are prone to errors, inconsistencies, and delays.
How to Cite this Paper
Sonawane, K. M. (2026). Technical estimation empowering proposal excellence. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(05). https://doi.org/10.55041/ijcope.v2i5.311
Sonawane, Kailas. "Technical estimation empowering proposal excellence." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 05, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i5.311.
Sonawane, Kailas. "Technical estimation empowering proposal excellence." International Journal of Creative and Open Research in Engineering and Management 02, no. 05 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i5.311.
References
[1] Tom M. Mitchell (1997). Machine Learning. New York: McGrawâHill.[2] Stuart Russell & Peter Norvig (2021). Artificial Intelligence: A Modern Approach (4th ed.). London: Pearson.
[3] Roger S. Pressman & Bruce R. Maxim (2019). Software Engineering: A Practitionerâs Approach. New York: McGraw-Hill Education.
Ethical Compliance & Review Process
- â˘All submissions are screened under plagiarism detection.
- â˘Review follows editorial policy.
- â˘Authors retain copyright.
- â˘Peer Review Type: Double-Blind Peer Review
- â˘Published on: May 11 2026
This article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. You are free to share and adapt this work for non-commercial purposes with proper attribution.

