Total Cost of Ownership Modelling and Procurement Intelligence: AI-Driven Approaches to Retail Supply Chain Cost Optimisation

Authors

  • Jean-Philippe Lambert Professor of Geomatics Engineering, Université catholique de Louvain

Keywords:

total cost, ownership modelling, procurement intelligence, approaches to retail supply chain cost optimisation, machine learning

Abstract

Retail supply chain processes require substantial investment to maintain their competitive edge, including expenditure on transportation, warehousing, information technology, and other functions. To stay ahead of the competition in resource allocation, more and more researchers take advantage of artificial intelligence methods to optimize retail supply chain operations from multiple perspectives, such as satisfying customer demands, improving operational efficiency, and reducing operational cost

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Published

30-06-2026

How to Cite

[1]
“Total Cost of Ownership Modelling and Procurement Intelligence: AI-Driven Approaches to Retail Supply Chain Cost Optimisation”, Cybersecurity & Net. Def. Research, vol. 6, no. 1, pp. 22–29, Jun. 2026, Accessed: Jun. 05, 2026. [Online]. Available: https://www.thesciencebrigade.com/cndr/article/view/888