Utilize este identificador para referenciar este registo: http://hdl.handle.net/10362/138116
Título: E-commerce sales forecasting using web-scale data
Autor: Enzberg, Nicolai Dominic Freiherr Von
Orientador: Han, Qiwei
Kaiser, Maximilian
Palavras-chave: Machine learning
E-commerce
Time series prediction
Consumer electronics
Data de Defesa: 29-Jun-2021
Resumo: Peekd’s dataset encompasses the largest Google Analytics panel worldwide, includingsales data with customer information from 150k unique websites. Although vast, peekd does not cover the entire internet. Peekd is looking to expand its data analytics to include sales predictions to enhance its offering to clients. A subset is used containing only European consumer electronics websites. The goal is to predict the websites transactions for the next seven days. This serves as a proof of concept for peekd to roll out the sales prediction feature as quickly as possible.
URI: http://hdl.handle.net/10362/138116
Designação: A Work Project, presented as part of the requirements for the Award of a Masters Degree in Management from the NOVA – School of Business and Economics
Aparece nas colecções:NSBE: Nova SBE - MA Dissertations

Ficheiros deste registo:
Ficheiro Descrição TamanhoFormato 
24667_nicolai_dominic_freiherr_von_enzberg_final_submission_197980_358027547.pdf3,33 MBAdobe PDFVer/Abrir


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