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Turning Tenders into Tinder: How AI and Open Data can spark Bidding Matches

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dc.contributor.authorKlassen, Gerhard
dc.contributor.authorBauer, Luca T.
dc.contributor.authorFritzsche, Robin
dc.contributor.authorKordyaka, Bastian
dc.contributor.authorWeber,Sebastian
dc.contributor.authorNiehaves, Björn
dc.contributor.editorWimmer, Maria A.
dc.contributor.editorRäckers, Michael
dc.contributor.editorHünemohr, Holger
dc.date.accessioned2024-09-23T09:21:55Z
dc.date.available2024-09-23T09:21:55Z
dc.date.issued2024
dc.description.abstractPublic procurement in Germany, accounting for 15% of GDP, is plagued by inefficiencies, high costs, and lack of transparency. This study investigates how Open Data can enhance competitive bidding and streamline the identification of suitable companies. Using the German public procurement market, we propose a web-based portal employing machine learning to automate tender and bidder matchmaking. Our methodology includes data collection, company profiling, and NLPbased similarity searches. Results indicate that integrating Open Data can increase competition, improve bid quality, and enhance procurement efficiency. This research provides a scalable framework for more transparent and effective public procurement practices, with potential applications in other regions and sectors.en
dc.identifier.doi10.18420/rvi2024-11
dc.identifier.isbn978-3-88579-745-6
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/44613
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartof7. Fachtagung Rechts- und Verwaltungsinformatik (RVI 2024): Neue Wege der Zusammenarbeit und Vernetzung für digitale Transformation und Verwaltungsmodernisierung
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-351
dc.subjectOpen Data
dc.subjectProcurement
dc.subjectMachine Learning
dc.subjectArtificial Intelligence
dc.titleTurning Tenders into Tinder: How AI and Open Data can spark Bidding Matchesen
dc.typeText/Research Paper
gi.citation.endPage148
gi.citation.publisherPlaceBonn
gi.citation.startPage137
gi.conference.date25.-26. September 2024
gi.conference.locationWiesbaden
gi.conference.reviewfull
gi.conference.sessiontitleKI in der öffentlichen Verwaltung

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P351 - 7. Fachtagung Rechts- und Verwaltungsinformatik (RVI 2024)