A HEURISTIC APPROACH IN SMART QUOTATION GENERATION

In the construction industry, generating accurate and timely quotations is essential for project planning, budgeting, and maintaining client trust. However, traditional methods of quotation generation often involve manual processes that are time-consuming, prone to errors, and lack consistency. This study introduces an AI-powered Quotation Generation System designed to simplify and improve the process of creating detailed and dynamic quotations for engineering construction projects. By integrating artificial intelligence and heuristic algorithms, the system automates the complex task of cost estimation, reducing human errors and saving valuable time for architects, engineers, and project estimators. One of its key features is the use of the FuzzyWuzzy algorithm, which ensures accurate data matching and adapts to fluctuating costs caused by seasonal changes, market demand, and material price variations. The system also allows users to customize quotations easily, enhancing flexibility and responsiveness to client needs. Designed with user experience in mind, the AI-powered tool not only speeds up the quotation process but also ensures that every estimate is reliable, transparent, and aligned with current market trends. Its performance is evaluated using the ISO 25010 quality standards, focusing on factors such as reliability, accuracy, efficiency, and maintainability. This study demonstrates how modern technology can transform traditional practices in the construction industry, making processes more efficient, reducing costs, and ultimately helping businesses stay competitive in an increasingly fastpaced market.       

Publication Details

Published
2025-01-01
DOI
https://doi.org/10.29121/ijesrtp.v14.i6.2025.5
Primary Topic
Intelligent Tutoring Systems and Adaptive Learning
Type
article
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article

A HEURISTIC APPROACH IN SMART QUOTATION GENERATION

Intelligent Tutoring Systems and Adaptive Learning
article

A HEURISTIC APPROACH IN SMART QUOTATION GENERATION

article en

Abstract

In the construction industry, generating accurate and timely quotations is essential for project planning, budgeting, and maintaining client trust. However, traditional methods of quotation generation often involve manual processes that are time-consuming, prone to errors, and lack consistency. This study introduces an AI-powered Quotation Generation System designed to simplify and improve the process of creating detailed and dynamic quotations for engineering construction projects. By integrating artificial intelligence and heuristic algorithms, the system automates the complex task of cost estimation, reducing human errors and saving valuable time for architects, engineers, and project estimators. One of its key features is the use of the FuzzyWuzzy algorithm, which ensures accurate data matching and adapts to fluctuating costs caused by seasonal changes, market demand, and material price variations. The system also allows users to customize quotations easily, enhancing flexibility and responsiveness to client needs. Designed with user experience in mind, the AI-powered tool not only speeds up the quotation process but also ensures that every estimate is reliable, transparent, and aligned with current market trends. Its performance is evaluated using the ISO 25010 quality standards, focusing on factors such as reliability, accuracy, efficiency, and maintainability. This study demonstrates how modern technology can transform traditional practices in the construction industry, making processes more efficient, reducing costs, and ultimately helping businesses stay competitive in an increasingly fastpaced market.       

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Intelligent Tutoring Systems and Adaptive Learning
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A HEURISTIC APPROACH IN SMART QUOTATION GENERATION · (2025) | TGRS Research Map | TGRS