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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Bibliographic Details
Main Author: Wandersleb, Tobias Theodor (author)
Format: masterThesis
Language:eng
Published: 2022
Subjects:
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
Online Access:http://hdl.handle.net/10362/140130
Country:Portugal
Oai:oai:run.unl.pt:10362/140130

Internet

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

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