Master Thesis Online
Integrating artificial intelligence into inventory management to optimise operational efficiency and reduce costs in retail sector
Bella, Amine 
Promotor(s) :
Mazurova, Elena
Date of defense : 18-Jun-2024/25-Jun-2024 • Permalink : http://hdl.handle.net/2268.2/20310
Details
| Title : | Integrating artificial intelligence into inventory management to optimise operational efficiency and reduce costs in retail sector |
| Translated title : | [fr] L'INTÉGRATION DE L'INTELLIGENCE ARTIFICIELLE DANS LA GESTION DES STOCKS POUR OPTIMISER L'EFFICACITÉ OPÉRATIONNELLE ET RÉDUIRE LES COÛTS DANS LE SECTEUR DU COMMERCE DE DÉTAIL. |
| Author : | Bella, Amine
|
| Date of defense : | 18-Jun-2024/25-Jun-2024 |
| Advisor(s) : | Mazurova, Elena
|
| Committee's member(s) : | Limbourg, Sabine
|
| Language : | English |
| Number of pages : | 51 |
| Discipline(s) : | Business & economic sciences > General economics & history of economic thought |
| Target public : | General public |
| Institution(s) : | Université de Liège, Liège, Belgique |
| Degree: | Master en sciences de gestion |
| Faculty: | Master thesis of the HEC-Ecole de gestion de l'Université de Liège |
Abstract
[fr] This thesis explores how artificial intelligence (AI) can improve inventory management in retail. By taking a close look at how companies are using AI, I will assess its impact on the operational efficiency and costs associated with inventory management. Using real-world examples and in-depth analysis, my aim is to understand how AI is changing the way businesses manage inventory. This research will provide useful practical information for professionals and will help to shed light on the importance of AI in the field of inventory management.
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Document(s)
THESIS AMINE FINAL JUNE 2024 (1).pdf
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The University of Liège does not guarantee the scientific quality of these students' works or the accuracy of all the information they contain.