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Applications of Artificial Intelligence in Inventory Management: A Systematic Review of the Literature

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Abstract

Today, companies that want to keep up with technological development and globalization must be able to effectively manage their supply chains to achieve high quality, increased efficiency, and low costs. Diversified customer needs, global competitors, and market competition have led companies to pay more attention to inventory management. This article provides a comprehensive and up-to-date review of Artificial Intelligence (AI) applications used in inventory management through a systematic literature review. As a result of this analysis, which focused on research articles in two scientific databases published between 2012 and 2022 for detailed study, 59 articles were identified. Furthermore, the current situation is summarized and possible future aspects of inventory management are identified. The results show that the interest in AI methods has increased in recent years and machine learning algorithms are the most commonly used methods. This study is meticulously and comprehensively conducted so it will probably make significant contributions to the further studies in this field.

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Authors and Affiliations

  1. Department of Industrial Engineering, Engineering Faculty, Ataturk University, 25240, Erzurum, Turkey

    Özge Albayrak Ünal & Burak Erkayman

  2. Department of Computer Engineering, Engineering Faculty, Ataturk University, 25240, Erzurum, Turkey

    Bilal Usanmaz

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  1. Özge Albayrak Ünal
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  2. Burak Erkayman
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Correspondence to Burak Erkayman.

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Appendix

Appendix

Full names of the algorithms used in the study.

Table 8

Table 8 Full names of the algorithms used in the study
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Albayrak Ünal, Ö., Erkayman, B. & Usanmaz, B. Applications of Artificial Intelligence in Inventory Management: A Systematic Review of the Literature. Arch Computat Methods Eng 30, 2605–2625 (2023). https://doi.org/10.1007/s11831-022-09879-5

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