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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.
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Papers that cite the same references — the relational fallback while embeddings are still backfilling.
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