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Enhancing product recategorization in the toys industry: a comprehensive approach integrating classification machine learning model and industry trend analysis
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| 1.12 MB | Adobe PDF |
Orientador(es)
Resumo(s)
This project encompasses a complete business analysis of the retail toys industry in a renowned
company of this sector, which was conducted,first,with the development of a machine learning
model which served to correctly categorize toys products into eleven predefined categories and,
secondly, by performing a deep analysis at different granularity levels regarding the exanimated
toys items, which served to analyse the most important pillars trends regarding the retailing
business model, these being: pricing trends, availability trends, selection analysis and search
trends. This industry analysis was accomplished by the usage of different automatized data
pulling techniques such as complex SQL queries and python programs, in addition to the usage
of data visualization methods.
Descrição
Palavras-chave
DRI – Directed Research Internship KPI – Key Performance Indicator EAN – European Article Number ML – Machine Learning MP – Marketplace OPS – Order Product Sales TTM – Trailing Twelve Months AWS – Amazon Web Services