Artificial Intelligence Supporting Human Intelligence: Impacts on Supply Chains of Small and Medium Enterprises

As organizations pursue greater resilience, the synergy between Artificial Intelligence (AI) and Human Intelligence (HI) becomes critical. This systematic literature review explores AI’s impact on demand forecasting and Supply Chain Management (SCM) in the context of Small and Medium-sized Enterprises (SMEs). The findings reveal that AI-driven technologies significantly improve forecasting accuracy, enhancing inventory control and resource allocation while bolstering supply chain resilience, thus supporting human decision-making. However, there is a central paradox: despite possessing the organizational agility for rapid implementation, SMEs lag behind larger corporations in AI adoption. The analysis concludes that the most significant barrier is not the technology itself, but a gap in accessibility, resources, and specialized skills. Bridging this gap through targeted, SME-focused solutions is essential to unlocking AI’s full potential, empowering SMEs to boost their agility, performance, and overall competitiveness in volatile markets.

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Publication Details

Journal
Procedia Computer Science
Published
2026-01-01
DOI
https://doi.org/10.1016/j.procs.2026.02.285
Primary Topic
Supply Chain Resilience and Risk Management
Type
article
Field-Weighted Citation Impact
0.00
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article

Artificial Intelligence Supporting Human Intelligence: Impacts on Supply Chains of Small and Medium Enterprises

Christian Cordes, Matheus Eduardo Leusin, PEDRO OLIVEIRA ONORIO, Enzo M. Frazzon et al.
Procedia Computer Science
Supply Chain Resilience and Risk Management
article

Artificial Intelligence Supporting Human Intelligence: Impacts on Supply Chains of Small and Medium Enterprises

Christian Cordes, Matheus Eduardo Leusin, PEDRO OLIVEIRA ONORIO, Enzo M. Frazzon, Vitor Azevedo
article en

Abstract

As organizations pursue greater resilience, the synergy between Artificial Intelligence (AI) and Human Intelligence (HI) becomes critical. This systematic literature review explores AI’s impact on demand forecasting and Supply Chain Management (SCM) in the context of Small and Medium-sized Enterprises (SMEs). The findings reveal that AI-driven technologies significantly improve forecasting accuracy, enhancing inventory control and resource allocation while bolstering supply chain resilience, thus supporting human decision-making. However, there is a central paradox: despite possessing the organizational agility for rapid implementation, SMEs lag behind larger corporations in AI adoption. The analysis concludes that the most significant barrier is not the technology itself, but a gap in accessibility, resources, and specialized skills. Bridging this gap through targeted, SME-focused solutions is essential to unlocking AI’s full potential, empowering SMEs to boost their agility, performance, and overall competitiveness in volatile markets.

Procedia Computer ScienceVol. 277
University of Bremen (DE), Universidade Federal de Santa Catarina (BR), Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau (DE)
Openalex Percentile: Top 12%
Supply Chain Resilience and Risk Management
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Artificial Intelligence Supporting Human Intelligence: Impacts on Supply Chains of Small and Medium Enterprises — Christian Cordes, Matheus Eduardo Leusin, et al. · Procedia Computer Science (2026) | TGRS Research Map | TGRS