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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM66345

BuildXchange: An AI-Enabled Marketplace for Sustainable Construction Material Exchange and Circular Resource Management

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM66345

Volume:

10 |

7 |

Jul 2026

Pages:

1-4

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

Parth Swanand Suryawanshi

Parth Swanand Suryawanshi

Department of Artificial Intelligence and Machine Learning

AISSMS College of Engineering,Pune

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Prajakta Arvind Virkar

Prajakta Arvind Virkar

Department of Artificial Intelligence and Machine Learning

AISSMS College of Engineering,Pune

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TKG

Tanvi Krishna Ghorpade

Department of Artificial Intelligence and Machine Learning

AISSMS College of Engineering,Pune

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Om Rajesh Mate

Om Rajesh Mate

Department of Artificial Intelligence and Machine Learning

AISSMS College of Engineering,Pune

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Mentors

Prof. D.R. Kamble

Prof. D.R. Kamble

Department of Artificial Intelligence and Machine Learning

AISSMS College of Engineering,Pune

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Abstract

The construction industry generates a large amount of unused or surplus material such as cement bags, bricks, sand, steel rods, tiles, and pipes that often ends up as waste, under low-value scrap, or idle storage. At the same time, nearby construction sites may face shortages, high procurement costs, and logistics overheads. This paper proposes an AI-oriented conceptual framework for a digital marketplace that connects sellers of surplus construction materials with local buyers, reducing waste and optimizing resource utilization. Using AI-based techniques such as demand forecasting, clustering, and recommendation, the system can match surplus inventory with nearby construction sites, estimate fair prices, and prioritize materials with high reuse potential. The work emphasizes the research and algorithmic aspects, rather than system level implementation details, and aligns with sustainable construction and circular-economy goals.

KEYWORDS

Construction waste surplus building materials AI based marketplace material reuse sustainability recommendation system.

Cite This Article

Parth Swanand Suryawanshi, Prajakta Arvind Virkar, Tanvi Krishna Ghorpade, Om Rajesh Mate, Prof. D.R. Kamble, "BuildXchange: An AI-Enabled Marketplace for Sustainable Construction Material Exchange and Circular Resource Management," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 7, pp. 1-4, Jul 2026.

Full Article/Conclusion

The proposed system provides a smart solution for construction material management using an AI-based e-commerce platform. It helps reduce material wastage, lower costs, and improve procurement efficiency. By promoting reuse and enabling intelligent decision-making, the system supports sustainable and efficient construction practices, with strong potential for future enhancements.

References

1. “A Trustworthy Digital Marketplace for Second-Hand Construction Materials,” 2023, This work discusses the use of blockchain technology to create secure and transparent platforms for trading reused construction materials. 2. “Digital Technologies for Sustainable Construction Supply Chains,” 2024, This paper explains how digital tools and online platforms improve efficiency and sustainability in construction supply chains. 3. IEEE, IEEE Xplore Digital Library. Available: https://ieeexplore.ieee.org,  Source for research papers and technical studies related to AI, IoT, and digital systems. 4. Google Scholar. Available: https://scholar.google.com, Used for exploring academic papers and related research work.  

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Publication Date

7/25/2026

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Double-Blind Peer Review

Review Rounds: 2

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Conflict of Interest

The authors declare no conflict of interest related to this research work.

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