Natural language processing as work support in project tendering
Paper in proceeding, 2022

When producing a tender, contractors manually analyze client requirements contained within many different text documents. The combination of requirements lead to crucial design decisions and every decision is related to costs and risks. This study explores the possibility of making the client requirement analysis in design-bid contracts automated to reduce the risk of conceptual design mistakes.
The research approach chosen includes developing a work support tool based on natural language processing and analyzing its usefulness through a combination of surveys and a workshop for tendering specialist. The results show that applying digitalized working methods and using artificial intelligence in the tender phase can enable data-informed decision making and generate benchmarking and risk management opportunities. The study contributes to insights regarding automation and digitization possibilities in tender projects and how artificial intelligence tools can be designed for supporting data-driven decisions.

Natural language processing, tendering, client requirements


Linda Cusumano

Chalmers, Architecture and Civil Engineering, Structural Engineering

Rasmus Rempling

Chalmers, Architecture and Civil Engineering, Structural Engineering

Robert Jockwer

Chalmers, Architecture and Civil Engineering, Structural Engineering

Ricardo Alencar Saraiva

Chalmers, Architecture and Civil Engineering, Structural Engineering

Mats Granath

Institution of physics at Gothenburg University

Susumu Okazawa

Savantic AB

Nilla Olsson

NCC Building Sweden

Current Perspectives and New Directions in Mechanics, Modelling and Design of Structural Systems

978-1-003-34844-3 (ISBN)

8th International Conference on Structural Engineering, Mechanics and Computation, SEMC 2022
Cape Town, South Africa,

IABSE TG 1.7 - Sustainability-driven Bridge Engineering for Early Design Phases

Swedish Transport Administration, 2019-09-09 -- 2023-09-09.

Data-informed design with the help of artificial intelligence

NCC Building Sweden, 2021-01-11 -- 2023-05-31.

Development Fund of the Swedish Construction Industry (SBUF) (13949), 2021-01-11 -- 2023-05-31.

Subject Categories

Language Technology (Computational Linguistics)


Information Science

Information Systemes, Social aspects



More information

Latest update

3/7/2024 5