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Authors: Marek Hütsch and Tobias Wulfert

Affiliation: Chair of Business Informatics and Integrated Information Systems, University of Duisburg-Essen, Essen, Germany

Keyword(s): Retail, Electronic Commerce, Machine Learning, Application Area, Literature Review.

Abstract: Machine learning (ML) has the potential to take on a variety of routine and non-routine tasks in brick-and-mortar and e-commerce. Many tasks previously executed manually are susceptible to computerization involving ML. Although procedure models for the introduction of ML across industries exist, it needs to be determined for which tasks in retail ML can be implemented. Hence, we conducted a structured literature review involving 225 research papers to derive possible ML application areas in retail along with the structure of a well-established information systems architecture. In total, we identified 20 application areas for ML in retail that mainly address decision-oriented and economic-operative tasks. We organized the application areas in a framework for practitioners and researchers to determine an appropriate ML usage in retail. Our analysis further revealed that while ML applications in offline retail focus on the article, in e-commerce the customer is pivotal for application a reas of ML. (More)

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Paper citation in several formats:
Hütsch, M. and Wulfert, T. (2022). A Structured Literature Review on the Application of Machine Learning in Retail. In Proceedings of the 24th International Conference on Enterprise Information Systems - Volume 1: ICEIS; ISBN 978-989-758-569-2; ISSN 2184-4992, SciTePress, pages 332-343. DOI: 10.5220/0011043200003179

@conference{iceis22,
author={Marek Hütsch. and Tobias Wulfert.},
title={A Structured Literature Review on the Application of Machine Learning in Retail},
booktitle={Proceedings of the 24th International Conference on Enterprise Information Systems - Volume 1: ICEIS},
year={2022},
pages={332-343},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011043200003179},
isbn={978-989-758-569-2},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 24th International Conference on Enterprise Information Systems - Volume 1: ICEIS
TI - A Structured Literature Review on the Application of Machine Learning in Retail
SN - 978-989-758-569-2
IS - 2184-4992
AU - Hütsch, M.
AU - Wulfert, T.
PY - 2022
SP - 332
EP - 343
DO - 10.5220/0011043200003179
PB - SciTePress

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