Klassen, GerhardPalombo, RaphaelBauer, Luca T.Niehaves, BjörnKlein, MaikeKrupka, DanielWinter, CorneliaWohlgemuth, Volker2023-11-292023-11-292023978-3-88579-731-9https://dl.gi.de/handle/20.500.12116/43043This paper discusses the need for an OpenData platform with data-based services to ad- dress the challenges facing the public procurement market. In the last 15 years, public procurement has doubled and now accounts for 15% of GDP. However, there is a shortage of skilled workers, and many tenders are still created manually. By leveraging advanced technologies such as machine learning and predictive analytics, we aim to improve the efficiency and effectiveness of public pro- curement. Our paper highlights the urgent need for a data-driven approach to public procurement and presents our plans for an OpenData platform that can deliver significant benefits to both the public sector and private enterprises.enOpenDataProcurementMachine LearningArtificial IntelligenceText/Conference Paper10.18420/inf2023_1211617-5468