Original title: Re-pricing in E-commerce
Authors: DURAN VEGA, Daniel Eduardo
Document type: Master’s theses
Year: 2025
Language: eng
Abstract: This thesis takes a deep look in repricing in e-commerce through an analysis of different re-pricing strategies and their causalities for Amazon discount prices in the German market. Using a bottom-up methodology approach that combines time series clustering and causality assessment through machine learning enhanced models, this study identifies various repricing strategies employed by e-commerce sellers and examines causal relationships between variables and price adjustments.
Keywords: algorithmic pricing; causality assessment; dynamic pricing; e-commerce; machine learning; repricing strategies; time series clustering
Citation: DURAN VEGA, Daniel Eduardo. Re-pricing in E-commerce. České Budějovice, 2025. diplomová práce (Mgr.). JIHOČESKÁ UNIVERZITA V ČESKÝCH BUDĚJOVICÍCH. Přírodovědecká fakulta

Institution: University of South Bohemia in České Budějovice (web)
Document availability information: Fulltext is available in the Digital Repository of University of South Bohemia.
Original record: http://www.jcu.cz/vskp/80593

Permalink: http://www.nusl.cz/ntk/nusl-688493


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Universities and colleges > Public universities > University of South Bohemia in České Budějovice
Academic theses (ETDs) > Master’s theses