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Intelligent building contract tendering – potential and exploration

 Intelligent building contract tendering – potential and exploration
Author(s): , , ORCID, ,
Presented at IABSE Symposium: Challenges for Existing and Oncoming Structures, Prague, Czech Republic, 25-27 May 2022, published in , pp. 1902-1909
DOI: 10.2749/prague.2022.1902
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Project tendering is the construction business “Tightrope-walking.” It is a time-limited balance act where technical and business specialists find the best technical proposal at the right price. Th...
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Bibliographic Details

Author(s): (Chalmers University of Technology, Gothenburg, Sweden)
(Chalmers University of Technology, Gothenburg, Sweden)
ORCID (Chalmers University of Technology, Gothenburg, Sweden)
(Chalmers University of Technology, Gothenburg, Sweden)
(NCC Sweden AB, Malmoe, Sweden)
(University of Gothenburg, Gothenburg, Sweden)
Medium: conference paper
Language(s): English
Conference: IABSE Symposium: Challenges for Existing and Oncoming Structures, Prague, Czech Republic, 25-27 May 2022
Published in:
Page(s): 1902-1909 Total no. of pages: 8
Page(s): 1902-1909
Total no. of pages: 8
DOI: 10.2749/prague.2022.1902
Abstract:

Project tendering is the construction business “Tightrope-walking.” It is a time-limited balance act where technical and business specialists find the best technical proposal at the right price. The purpose and aim of this study were to explore artificial intelligence (AI) in the tender work and to identify challenges and possibilities with data-driven decision-making. An AI work support tool was adopted and used to extract and process client requirements. The tool and digital-work procedure were presented and discussed with tender specialists from a large contractor in a workshop. A two- step survey was performed in connection to the workshop, investigating the potential users’ insights and attitudes for implementation. The main result and conclusion were that AI and digitalization could support tendering; however, successfully generating business value will require higher levels of digitalization, well-structured databases, and access to historical project data.

Keywords:
digitalization artificial intelligence tender phase data-driven decisions production data client requirements text extraction
Copyright: © 2022 International Association for Bridge and Structural Engineering (IABSE)
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