For the bid submission in the construction industry, long lists of requirements are painstakingly compiled in text form with calculations for the required craftsmen’s, machinery and material services. This construction calculation is done by experienced professionals whose time is very valuable for the company.
BRZ Deutschland GmbH is a specialist in organisation and construction IT. With organisational consulting, an ERP construction software platform, outsourcing services and training offers, BRZ supports companies in the construction industry in both digitising processes and organising them in a cost-saving and efficient manner.
Since many elementary requirements for a construction object are often repeated in the various tenders, the XITASO data science experts developed a solution to make this calculation process more efficient. Based on past tender calculations and with the help of Data Science & Artificial Intelligence methods, BRZ 365 AI calculation saves calculators a lot of time with precise recommendations. This can now be used for complex requirements of the construction project.
The Construction Calculation Assistant uses intelligent algorithms to calculate suitable proposals for bid items. The addition to the BRZ 365 calculation platform thus saves calculators a lot of time in time-consuming routine work.
Experience values and calculation approaches for new tenders can be taken over from the data pool of already calculated offers – even in the case of differently worded texts with the same function descriptions.
With BRZ 365 KI-Calculation, calculators always have full control over which past projects are included in the dataset and which automation level is used when processing the so-called bill of quantities:
BRZ Deutschland GmbH
BRZ’s vision was based on the assumption that the required craftsman, equipment and material services are similar if the requirements are very similar in content. To test this hypothesis, requirement texts were compared using Natural Language Processing (NLP) and the respective prices were controlled. This ensured feasibility before resources were poured into an implementation project.
The result of the XITASO data quick checkconfirmed the initial hypothesis and showed that past requirements can indeed be used to calculate bid prices. This laid the foundation for further successful product development.
Similarity matrix of requirement texts
To ensure that the final software solution meets the concrete needs of the construction calculators, the UI/UX experts at XITASO focused on them from the very beginning. In addition to defining user groups and the persona “Edgar Effizient” as well as examining the user journey, click dummies were tested on real users. This enabled early feedback, on the basis of which the solution was continuously improved and expanded. Throughout the development process, this ensured that features and concepts were always implemented from the user perspective and that the usability and acceptance of the product on the market were ensured.
In accordance with XITASO’s high quality standards, special emphasis was placed on performance and resilience in the digital solution for BRZ. Using language models based on neural networks, the semantics of the requirement texts were transformed into vectors.
The search algorithm now checks texts not for identical words but directly for the same meaning. Thanks to vectorization, millions of request texts are also searched in under a second and similar calculations are output.