Thesis Study : analysis of the implementation of Artificial Intelligence in warehouses of e-commerce SMEs based on feasibility study

Abstract

In the rapidly evolving landscape of global e-commerce, particularly within the fashion and clothing sectors, small and medium-sized enterprises (SMEs) face a pivotal juncture marked by both unprecedented opportunities and formidable challenges. The re-search delves into the transformative potential of Artificial Intelligence (AI) as a strategic tool for optimizing warehouse operations in small and medium-sized fashion e-commerce businesses. Acknowledging the contemporary consumer's heightened expectations for expedited order fulfilment, the study explores how AI can analyze extensive datasets, predict demand patterns, and automate aspects of warehouse management to enhance operational efficiency. The purpose of the study is to analyze the feasibility of implementing artificial intelligence (AI) in small and medium-sized fashion e-commerce warehouses to optimize order warehouse operations. To the end, assessments of operational, financial and environmental aspects were carried out. The study involves the analysis of a hypothetical implementation scenario for the operation of a warehouse based on data from company X. The research is aimed at presenting an analysis of the practical application of artificial intelligence for stakeholders.