Shaping the Future of Freight Logistics: Use Cases of Artificial Intelligence

Martin Johannes du Plessis (), Retief Gerber, Leila Louise Goedhals-Gerber and Joubert van Eeden
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Martin Johannes du Plessis: Department of Industrial Engineering, Stellenbosch University, Private Bag X1, Matieland, Stellenbosch 7602, South Africa
Retief Gerber: Spatialedge, Trumali House, Corner of R44 and Trumali Street, Stellenbosch 7600, South Africa
Leila Louise Goedhals-Gerber: Department of Industrial Engineering, Stellenbosch University, Private Bag X1, Matieland, Stellenbosch 7602, South Africa
Joubert van Eeden: Department of Industrial Engineering, Stellenbosch University, Private Bag X1, Matieland, Stellenbosch 7602, South Africa

Sustainability, 2025, vol. 17, issue 4, 1-18

Abstract: The human–machine interface is increasingly attracting attention. This paper investigates the potential value and impact of using Artificial Intelligence (AI) in the freight logistics industry by defining various use cases. It explores how the logistics industry can use data and AI to improve its economic, social, and environmental sustainability through better decision making. The research methodology involved a systematic literature review, interviews with subject matter experts, facility visits, and generative AI. The SLR showed that none of the peer-reviewed literature offers an extensive exposition of AI use cases in freight logistics. The key findings highlight AI’s untapped potential in the logistics industry, with 77 unique use cases identified across three spheres: holistic supply chain opportunities, transport vehicles, and logistical facilities. The research is expected to contribute to the growing body of knowledge of AI in logistics, inform future research, guide industry practices, and inspire further innovation in logistics technology.

Keywords: Artificial Intelligence (AI); cost reduction; industry 5.0; logistics; freight transport; sustainability; transport management; use cases (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
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