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From Global to Local in the Sneakers Universe: A Data Science Approach

Belongs to book: Memorias del Congreso Argentino en Ciencias de la Computación - CACIC 2021
Document type: Objeto de conferencia

Abstract

In Argentina there was a great growth of e-commerce due to the COVID-19 pandemic. With the aim of helping local companies to understand the market and help them in decision making, data were obtained from online shoe sales sites and with them Machine Learning models were implemented to make price predictions in sneakers. It was concluded that higher-tier companies have greater competitive advantage over lower-tier companies. Nonetheless, the cost-effective methodology used would aid local companies scale up.

Notes

Workshop: WBDMD - Base de Datos y Minería de Datos

General information

Exposure date: octubre 2021
Issue date: 2021
Document language: English
Event: XXVII Congreso Argentino de Ciencias de la Computación (CACIC) (Modalidad virtual, 4 al 8 de octubre de 2021)
Origin: Red de Universidades con Carreras en Informática
ISBN: 978-987-633-574-4
Pages: 333-342
xmlui.dri2xhtml.METS-1.0.item-dc-subject: E-commerce ; Machine learning ; Linear Regression ; Random Forest ; LGBM Regressor
Subjects: Ciencias Informáticas

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Created: 2 de febrero de 2022
Available since: 2 de febrero de 2022
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