AI for a digital construction supply chain
AI support for a digital supply chain of building products
The supply chains for construction projects are very complex due to the large number of interfaces, data flow and data volume. Suppliers and construction companies use many heterogeneous data processing systems; a generally formulated and accessible digital solution does not currently exist. With SDaC we digitize the heterogeneous supply chains of construction products by using our AI-driven platform, unifying and standardizing heterogeneous data formats. In this digital supply chain, information is always available and therefore easy to control. Paper documents can be sustainably reduced and manual documentation and search efforts can be reduced.
The reduction of the complexity of the information flow, minimizes repetitive tasks and creates free space for value-adding activities!
Below we give a brief insight into the approach adopted. If you want to know more about our applications and about AI in construction, we recommend our Newsletter.
Status quo of delivery notes on the construction site
A look inside a container on a construction site quickly shows that a lot of paper is used there. Printed forms are still the safest way to transport information within a construction site. The exchange of building products in the incoming goods inspection is therefore almost exclusively carried out via printed delivery notes. On a large construction site, a large number of delivery notes can accumulate very quickly. Moreover, these are often crumpled, dirty and completed with handwritten notes. Currently, consistent digitalisation of the supply chain is difficult in many places due to the fragmentation of manufacturers and the lack of standards.
OCR (Optical Character Recognition)-Algorithm
In order not to exclude small construction product manufacturers, SDaC has decided to use the following AI approach: By means of a combined OCR (Optical Character Recognition) and Machine Learning (ML) algorithm, delivery notes can be retroactively digitized again. The algorithm recognizes writing and automatically arranges the contents in a defined target structure. The result is a data set that can be read out optimally, for instance, for invoice verification or documentation processes.
In a first pilot project, concrete delivery notes were processed using the OCR algorithm. The figure shows that a lot of content is already recognized. In a second step, these contents are transferred to a database via a structured dataset. This data can then be used, for example, for the ÜK2/ÜK3 (according to the DIN standard) concrete monitoring.
AI in construction - Together we transform the construction industry! Our way to the digital construction site
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