Samsung field lab Voids: demand forecasting for consumer electronic goods - a transformer-based deep learning approach

VOIDS is a data science student entrepreneurial project that aims to integrate marketing into demand planning, helping companies to achieve the most accurate way of planning and shaping future demand. The following work applies this vision in a lean agile start-up framework, implementing state-of-th...

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Detalhes bibliográficos
Autor principal: Wandersleb, Tobias Theodor (author)
Formato: masterThesis
Idioma:eng
Publicado em: 2022
Assuntos:
Marketing
Forecasting
Machine learning
Python
Business analytics
Digital transformation
Deep learning
Demand planning
Consumer electronics
Lean startup
Domínio/Área Científica::Ciências Sociais::Economia e Gestão
Texto completo:http://hdl.handle.net/10362/140130
País:Portugal
Oai:oai:run.unl.pt:10362/140130

Texto Completo

http://hdl.handle.net/10362/140130

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