What does this research mean for the field?

Artificial intelligence in supply chain controlling is primarily applied to data-intensive performance and risk management tasks using machine learning and predictive analytics, while its application in sustainability and advanced techniques like deep learning remains limited. Novelty: ClaimNovelty.SYNTHESIS. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

To identify which supply chain controlling task areas are supported by artificial intelligence and determine the primary technological methods applied in current practice.

August 22, 2026Open Access

The Use of Artificial Intelligence in Supply Chain Controlling: A Systematic Literature Review and Content Analysis of Controlling Task Areas and AI Techniques

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Authors

AJAndreas JonenBaden-Wuerttemberg Cooperative State University

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Implication

Systematic literature review reveals artificial intelligence is primarily applied to performance and risk forecasting in supply chain controlling, highlighting key gaps in sustainability tasks.

Key Points

To identify which supply chain controlling task areas are supported by artificial intelligence and determine the primary technological methods applied in current practice.
Conducted a systematic literature review and content analysis of 19 peer-reviewed academic publications published between 2020 and 2025.
AI is primarily deployed in performance controlling as well as risk and resilience controlling, whereas sustainability-oriented controlling tasks receive comparatively limited attention.
Machine learning and predictive analytics represent the dominant technological approaches, while deep learning, natural language processing, and reinforcement learning remain less established.
Applications are heavily concentrated in data-intensive, forecasting-oriented, and decision-support tasks, clustering around resilience, performance improvement, and organizational integration.

Cite This Study

Andreas Jonen (2026) studied this question.

synapsesocial.com/papers/6a895ed9ca7ade938187cf84 https://doi.org/10.5772/intechopen.1017245

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Implication

Systematic literature review reveals artificial intelligence is primarily applied to performance and risk forecasting in supply chain controlling, highlighting key gaps in sustainability tasks.

The Use of Artificial Intelligence in Supply Chain Controlling: A Systematic Literature Review and Content Analysis of Controlling Task Areas and AI Techniques

Discussion

Member takes

Implication

Key Points

Cite This Study

The Use of Artificial Intelligence in Supply Chain Controlling: A Systematic Literature Review and Content Analysis of Controlling Task Areas and AI Techniques

Discussion

Member takes

Implication

Key Points

Cite This Study

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