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Artificial Intelligence in Digital Sales Technologies - A Systematic Literature Review

  • Artificial Intelligence is becoming an increasingly important part of everyday life and is considered a matter of course by many people. Since it can be assumed that artificial intelligence will play an increasingly central role in business in the future, this paper aims to investigate the intersection between AI and Digital Sales Technologies through a systematic literature review. This thesis identified 32 relevant articles through an extensive literature search in the databases Web of Science, ScienceDirect, and SpringerLink. Through the detailed analysis of these 32 articles, the following four topic clusters could be identified: “Application Layer, Social Layer, Challenges, and Futuristic Layer”. Based on these layers, the developed research questions were answered successfully, and the following conclusions were drawn: AI is already being used in Digital Sales Technologies in numerous ways, for instance through voice assistants like Alexa. In addition, various changes for consumers and salespeople were identified, that accompany the adoption of AI in Digital Sales Technologies. Furthermore, this thesis provides an answer to which challenges this integration brings and how AI will influence Digital Sales Technologies in the future. Finally, research gaps for future research are identified based on the collected findings from the literature review.

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Author:Ana Marina Garzón Chamón
Advisor:Martin Fleischmann
Document Type:Bachelor Thesis
Year of Completion:2022
Granting Institution:Hochschule Furtwangen
Release Date:2022/02/25
Tag:Artificial intelligence; Digital sales
Degree Program:IBM - International Business Management
Functional area:Production, Operations and Supply Chain Management
Licence (German):License LogoUrheberrechtlich geschützt