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dc.contributor.authorWaseem, Muhammad
dc.contributor.authorDas, Teerath
dc.contributor.authorPaloniemi, Teemu
dc.contributor.authorKoivisto, Miika
dc.contributor.authorRäsänen, Eeli
dc.contributor.authorSetälä, Manu
dc.contributor.authorMikkonen, Tommi
dc.contributor.editorHyrynsalmi, Sami
dc.contributor.editorMünch, Jürgen
dc.contributor.editorSmolander, Kari
dc.contributor.editorMelegati, Jorge
dc.date.accessioned2024-02-21T07:10:24Z
dc.date.available2024-02-21T07:10:24Z
dc.date.issued2024
dc.identifier.citationWaseem, M., Das, T., Paloniemi, T., Koivisto, M., Räsänen, E., Setälä, M., & Mikkonen, T. (2024). Artificial Intelligence Procurement Assistant : Enhancing Bid Evaluation. In S. Hyrynsalmi, J. Münch, K. Smolander, & J. Melegati (Eds.), <i>Software Business : 14th International Conference, ICSOB 2023, Lahti, Finland, November 27–29, 2023, Proceedings</i> (pp. 108-114). Springer. Lecture Notes in Business Information Processing. <a href="https://doi.org/10.1007/978-3-031-53227-6_8" target="_blank">https://doi.org/10.1007/978-3-031-53227-6_8</a>
dc.identifier.otherCONVID_207132618
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/93510
dc.description.abstractIn modern business, maintaining competitiveness and efficiency necessitates the integration of state-of-the-art technology. This paper introduces the Artificial Intelligence Procurement Assistant (AIPA), an advanced system co-developed with Solita, a Finnish software company. AIPA leverages Large Language Models (LLMs) and sophisticated data analytics to enhance the assessment of procurement call bids and funding opportunities. The system incorporates LLM agents to enhance user interactions, from intelligent search execution to results evaluation. Rigorous usability testing and real-world evaluation, conducted in collaboration with our industry partner, validated AIPA’s intuitive interface, personalized search functionalities, and effective results filtering. The platform significantly streamlines the identification of optimal calls by synergizing LLMs with resources from the European Commission TED and other portals. Feedback from the company guided essential refinements, particularly in the performance of ChatGPT agents for tasks like translation and keyword extraction. Further contributing to its scalability and adaptability, AIPA has been made open-source, inviting community contributions for its ongoing refinement and enhancement. Future developments will focus on extensive case studies, iterative improvements through user feedback, and expanding data sources to further elevate its utility in streamlining and optimizing procurement processes.en
dc.format.extent514
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherSpringer
dc.relation.ispartofSoftware Business : 14th International Conference, ICSOB 2023, Lahti, Finland, November 27–29, 2023, Proceedings
dc.relation.ispartofseriesLecture Notes in Business Information Processing
dc.rightsCC BY 4.0
dc.titleArtificial Intelligence Procurement Assistant : Enhancing Bid Evaluation
dc.typeconferenceObject
dc.identifier.urnURN:NBN:fi:jyu-202402211977
dc.contributor.laitosInformaatioteknologian tiedekuntafi
dc.contributor.laitosFaculty of Information Technologyen
dc.type.urihttp://purl.org/eprint/type/ConferencePaper
dc.relation.isbn978-3-031-53226-9
dc.type.coarhttp://purl.org/coar/resource_type/c_5794
dc.description.reviewstatuspeerReviewed
dc.format.pagerange108-114
dc.relation.issn1865-1348
dc.type.versionpublishedVersion
dc.rights.copyright© The Author(s) 2024
dc.rights.accesslevelopenAccessfi
dc.relation.conferenceInternational Conference on Software Business
dc.subject.ysotehokkuus
dc.subject.ysoliiketoiminta
dc.subject.ysohuipputekniikka
dc.subject.ysotekoäly
dc.subject.ysoyritykset
dc.subject.ysokilpailukyky
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p8329
jyx.subject.urihttp://www.yso.fi/onto/yso/p2439
jyx.subject.urihttp://www.yso.fi/onto/yso/p3644
jyx.subject.urihttp://www.yso.fi/onto/yso/p2616
jyx.subject.urihttp://www.yso.fi/onto/yso/p3128
jyx.subject.urihttp://www.yso.fi/onto/yso/p9189
dc.rights.urlhttps://creativecommons.org/licenses/by/4.0/
dc.relation.doi10.1007/978-3-031-53227-6_8
dc.type.okmA4


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