Artificial Intelligence in Logistics: Opportunities and Challenges

The integration of artificial intelligence into the logistics industry is a rapidly evolving field with the potential to revolutionize the way goods are transported and managed. Artificial intelligence can be used to optimize a wide range of logistics processes, from demand forecasting and route planning to warehouse management and customer service. However, the integration of artificial intelligence also raises a number of technical and ethical issues that need to be addressed to ensure its successful implementation. Choosing the right artificial intelligence algorithms for specific logistics tasks is crucial to ensure their efficiency and accuracy. This requires careful consideration of factors such as data type, task complexity, and desired performance metrics. The growing amount of data collected and processed by artificial intelligence systems raises concerns about data security and privacy. Companies need to implement robust security measures to protect sensitive data from unauthorized access, breaches, and misuse. The use of artificial intelligence in logistics raises ethical issues related to bias, transparency, and accountability. Artificial intelligence algorithms should be developed and used fairly, transparently, and with respect for the right to privacy and in compliance with all relevant laws and regulations. In order to eliminate or prevent these problems, recommendations for the effective implementation of artificial intelligence in the logistics sector have been developed and formulated. They include aspects that need to be addressed in the first place when developing mechanisms for automating logistics processes. The integration of artificial intelligence into logistics offers significant opportunities to increase efficiency, reduce costs and improve customer service. However, it is crucial to address the technical and ethical challenges associated with artificial intelligence integration to ensure that it is used responsibly and beneficially. By following the recommendations, logistics companies can successfully use artificial intelligence to transform their operations and achieve their strategic goals.

Authors

Publication Details

Journal
Vìsnik Nacìonalʹnogo unìversitetu Lʹvìvsʹka polìtehnìka Serìâ Ìnformacìjnì sistemi ta merežì
Published
2024-11-21
DOI
https://doi.org/10.23939/sisn2024.16.001
Citations
2
Primary Topic
Transport and Logistics Innovations
Type
article
Field-Weighted Citation Impact
0.70
Controls
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article

Artificial Intelligence in Logistics: Opportunities and Challenges

Yevhen Burov, Andrii Kuliavets
2 citations
Vìsnik Nacìonalʹnogo unìversitetu Lʹvìvsʹka polìtehnìka Serìâ Ìnformacìjnì sistemi ta merežì
Transport and Logistics Innovations
0.70
article

Artificial Intelligence in Logistics: Opportunities and Challenges

Yevhen Burov, Andrii Kuliavets
article en
2 citations

Abstract

The integration of artificial intelligence into the logistics industry is a rapidly evolving field with the potential to revolutionize the way goods are transported and managed. Artificial intelligence can be used to optimize a wide range of logistics processes, from demand forecasting and route planning to warehouse management and customer service. However, the integration of artificial intelligence also raises a number of technical and ethical issues that need to be addressed to ensure its successful implementation. Choosing the right artificial intelligence algorithms for specific logistics tasks is crucial to ensure their efficiency and accuracy. This requires careful consideration of factors such as data type, task complexity, and desired performance metrics. The growing amount of data collected and processed by artificial intelligence systems raises concerns about data security and privacy. Companies need to implement robust security measures to protect sensitive data from unauthorized access, breaches, and misuse. The use of artificial intelligence in logistics raises ethical issues related to bias, transparency, and accountability. Artificial intelligence algorithms should be developed and used fairly, transparently, and with respect for the right to privacy and in compliance with all relevant laws and regulations. In order to eliminate or prevent these problems, recommendations for the effective implementation of artificial intelligence in the logistics sector have been developed and formulated. They include aspects that need to be addressed in the first place when developing mechanisms for automating logistics processes. The integration of artificial intelligence into logistics offers significant opportunities to increase efficiency, reduce costs and improve customer service. However, it is crucial to address the technical and ethical challenges associated with artificial intelligence integration to ensure that it is used responsibly and beneficially. By following the recommendations, logistics companies can successfully use artificial intelligence to transform their operations and achieve their strategic goals.

Vìsnik Nacìonalʹnogo unìversitetu Lʹvìvsʹka polìtehnìka Serìâ Ìnformacìjnì sistemi ta merežìVol. 16
Openalex Percentile: Top 24%
Transport and Logistics Innovations
0.70
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