<div class="csl-bib-body">
<div class="csl-entry">Köck, B.-M., Mihalyi-Schneider, B., Unterrainer, L., & Papadokonstantakis, S. (2026, June 30). <i>AI-driven Procurement: LCA for SSbD</i> [Conference Presentation]. Suscheme Sustens2, Athen, Greece.</div>
</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/230100
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dc.description
https://www.suscheme-sustens2.com/program/
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dc.description.abstract
University procurement generates significant but poorly quantified environmental impacts, particularly in Scope 3 emissions from purchased goods and services. This paper presents LCA@TUW, a scalable, AI-enabled pipeline that combines optical character recognition (OCR) with large language models (LLMs) to extract, classify, and map approximately 14,200 invoice line items from TU Wien’s 2024 procurement to ecoinvent 3.11 processes. Impacts are calculated using Brightway2 across 16 Environmental Footprint (EF 3.0) categories. We describe the eight-step methodology, illustrate critical quality challenges, and discuss the reliability boundaries of LLM-assisted environmental assessment. The approach enables granular, product-level environmental footprinting that conventional spend-based methods cannot provide, while maintaining traceability and auditability throughout.
en
dc.language.iso
en
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dc.subject
LCA
en
dc.subject
Life Cycle Assessment
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dc.subject
Ökobilanz
de
dc.subject
KI
de
dc.subject
AI
en
dc.subject
large language models
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dc.subject
LLM
en
dc.subject
Scope 3
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dc.subject
Claude
en
dc.subject
Environmental Footprint
en
dc.subject
optical character recognition (OCR)
en
dc.subject
purchased goods
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dc.subject
University procurement
en
dc.subject
Beschaffung
de
dc.subject
Nachhaltige Universität
de
dc.subject
CO2-Emissionen
de
dc.subject
Sustainable University
en
dc.subject
Nachhaltigkeit
de
dc.subject
Automation
de
dc.subject
Sustainability
en
dc.title
AI-driven Procurement: LCA for SSbD
en
dc.type
Presentation
en
dc.type
Vortrag
de
dc.type.category
Conference Presentation
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tuw.publication.invited
invited
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tuw.researchTopic.id
E6
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tuw.researchTopic.id
E4
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tuw.researchTopic.id
I3
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tuw.researchTopic.name
Sustainable Production and Technologies
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tuw.researchTopic.name
Environmental Monitoring and Climate Adaptation
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tuw.researchTopic.name
Automation and Robotics
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tuw.researchTopic.value
20
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tuw.researchTopic.value
50
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tuw.researchTopic.value
30
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tuw.publication.orgunit
E166-06-3 - Forschungsgruppe Prozesssystematik für nachhaltige Ressourcen
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tuw.publication.orgunit
E007-04-2 - Fachgruppe Datawarehouse
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tuw.author.orcid
0000-0001-8977-7577
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tuw.author.orcid
0000-0002-1293-1764
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tuw.event.name
Suscheme Sustens2
en
dc.description.sponsorshipexternal
LCA@TUW
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tuw.event.startdate
28-06-2026
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tuw.event.enddate
30-06-2026
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tuw.event.online
On Site
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tuw.event.type
Event for scientific audience
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tuw.event.place
Athen
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tuw.event.country
GR
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tuw.event.institution
Sustainability Section (EFCE), Technical Chamber of Greece; Hellenic Association of Chemical Engineers
