Use of Artificial Intelligence in Logistics: Potentials and Limitations in Shopping Basket Analysis and Shipping Optimisation

Burak Elkilic

doi:10.37284/ijar.8.1.3096

Burak Elkilic GrandEdu Research School

DOI: https://doi.org/10.37284/ijar.8.1.3096

Keywords: Logistics, Artificial Intelligence, Shipping Optimisation, Shopping Basket Analysis, Algorithmic Systems

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Abstract

The increasing integration of artificial intelligence (AI) into logistics processes is changing conventional decision-making structures. In e-commerce logistics in particular, the question arises as to whether algorithmic systems lead to efficiency gains without undermining transparency and responsibility. The study combines a theoretical-conceptual analysis with a case study of the company Zalando. Existing literature is systematically evaluated in order to examine technical, organisational and ethical aspects of AI use in shopping basket analysis and shipping optimisation. AI systems can make shipping logistics more precise, faster and more individualised. At the same time, new risks arise such as algorithmic intransparency, biased decisions and data-based dependencies. Without stable data infrastructures and human control, many advantages remain hypothetical. For AI to be used responsibly in logistics, comprehensible rules, ethical guidelines and robust data structures are required. The study shows that progress depends not only on technological performance, but also on a conscious approach to responsibility

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