Overview of existing warehouse accounting technologies using artificial intelligence

The modern pace of industrial development requires new approaches to solving logistics problems. To achieve the necessary effect of automation, rationally use artificial iteleect. IoT technologies and warehouse management systems (WMS). As well as just-in-time inventory management methods and VMI (Vendor-Managed Inventory), or “supplier-managed inven-tory”, allow to partially solve these issues. Each of the considered methods has its own advan-tages and disadvantages. Therefore, the optimal choice depends on the specific task. For the successful implementation of artificial intelligence in logistics, a comprehensive approach is required, which includes the development of a clear strategy for the implementation of artifi-cial intelligence, taking into account the goal, resources and potential risks. Continuous train-ing and improvement of artificial intelligence algorithms, in accordance with specific logistics tasks, data security and protection of confidential information, as well as the development of ethical principles of artificial intelligence that guarantee fairness, transparency and control. In this regard, further research, improvement and updating of strategies for the implementation of automated technologies for the effective development of artificial intelligence integration logistics processes and achievement of the set goal are relevant.

Authors

Publication Details

Journal
System technologies
Published
2025-04-23
DOI
https://doi.org/10.34185/1562-9945-3-158-2025-15
Primary Topic
Advanced Manufacturing and Logistics Optimization
Type
article
Field-Weighted Citation Impact
0.00
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article

Overview of existing warehouse accounting technologies using artificial intelligence

A. Zhurba, Y. Modzalevskyi
System technologies
Advanced Manufacturing and Logistics Optimization
article

Overview of existing warehouse accounting technologies using artificial intelligence

A. Zhurba, Y. Modzalevskyi
article en

Abstract

The modern pace of industrial development requires new approaches to solving logistics problems. To achieve the necessary effect of automation, rationally use artificial iteleect. IoT technologies and warehouse management systems (WMS). As well as just-in-time inventory management methods and VMI (Vendor-Managed Inventory), or “supplier-managed inven-tory”, allow to partially solve these issues. Each of the considered methods has its own advan-tages and disadvantages. Therefore, the optimal choice depends on the specific task. For the successful implementation of artificial intelligence in logistics, a comprehensive approach is required, which includes the development of a clear strategy for the implementation of artifi-cial intelligence, taking into account the goal, resources and potential risks. Continuous train-ing and improvement of artificial intelligence algorithms, in accordance with specific logistics tasks, data security and protection of confidential information, as well as the development of ethical principles of artificial intelligence that guarantee fairness, transparency and control. In this regard, further research, improvement and updating of strategies for the implementation of automated technologies for the effective development of artificial intelligence integration logistics processes and achievement of the set goal are relevant.

System technologiesVol. 3(158)
Openalex Percentile: Top 89%
Advanced Manufacturing and Logistics Optimization
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