Artificial Intelligence Procurement Assistant : Enhancing Bid Evaluation

Abstract
In 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.
Main Authors
Format
Conferences Conference paper
Published
2024
Series
Subjects
Publication in research information system
Publisher
Springer
The permanent address of the publication
https://urn.fi/URN:NBN:fi:jyu-202402211977Käytä tätä linkitykseen.
Parent publication ISBN
978-3-031-53226-9
Review status
Peer reviewed
ISSN
1865-1348
DOI
https://doi.org/10.1007/978-3-031-53227-6_8
Conference
International Conference on Software Business
Language
English
Published in
Lecture Notes in Business Information Processing
Is part of publication
Software Business : 14th International Conference, ICSOB 2023, Lahti, Finland, November 27–29, 2023, Proceedings
Citation
  • Waseem, 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.), Software Business : 14th International Conference, ICSOB 2023, Lahti, Finland, November 27–29, 2023, Proceedings (pp. 108-114). Springer. Lecture Notes in Business Information Processing. https://doi.org/10.1007/978-3-031-53227-6_8
License
CC BY 4.0Open Access
Copyright© The Author(s) 2024

Share