Towards AI Platforms for Stationary Retail

Tim Schopf; Kilian Dresse; Florian Matthes

doi:10.1109/AI4I54798.2022.00012

Towards AI Platforms for Stationary Retail

Tim Schopf, Kilian Dresse, Florian Matthes

Informatics 19 - Chair of Software Engineering for Business Information Systems

Technical University of Munich

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

A major challenge for stationary retail is the increasing digitization of business. While online retailers can increase their sales through data-driven AI applications, brick-and-mortar retailers are left behind because they have less data available due to their traditional physical stores. To bridge the gap between physical stores and online stores, in this paper, an AI platform that connects the digital world with stationary retail is proposed. A digital twin, which represents instances of physical stores in digital form, builds the core of the AI platform. The AI platform can enable digital business models, as well as sales and operations processes that have not been possible to date.

Original language	English
Title of host publication	Proceedings - 2022 5th International Conference on Artificial Intelligence for Industries, AI4I 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	22
Number of pages	1
ISBN (Electronic)	9781665459617
DOIs	https://doi.org/10.1109/AI4I54798.2022.00012
State	Published - 2022
Event	5th International Conference on Artificial Intelligence for Industries, AI4I 2022 - Laguna Hills, United States Duration: 19 Sep 2022 → 21 Sep 2022

Publication series

Name	Proceedings - 2022 5th International Conference on Artificial Intelligence for Industries, AI4I 2022

Conference

Conference	5th International Conference on Artificial Intelligence for Industries, AI4I 2022
Country/Territory	United States
City	Laguna Hills
Period	19/09/22 → 21/09/22

Keywords

AI Platform
Digital Twin
Knowledge4Retail
Retail

Access to Document

10.1109/AI4I54798.2022.00012

Cite this

Schopf, T., Dresse, K., & Matthes, F. (2022). Towards AI Platforms for Stationary Retail. In Proceedings - 2022 5th International Conference on Artificial Intelligence for Industries, AI4I 2022 (pp. 22). (Proceedings - 2022 5th International Conference on Artificial Intelligence for Industries, AI4I 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/AI4I54798.2022.00012

Schopf, Tim ; Dresse, Kilian ; Matthes, Florian. / Towards AI Platforms for Stationary Retail. Proceedings - 2022 5th International Conference on Artificial Intelligence for Industries, AI4I 2022. Institute of Electrical and Electronics Engineers Inc., 2022. pp. 22 (Proceedings - 2022 5th International Conference on Artificial Intelligence for Industries, AI4I 2022).

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title = "Towards AI Platforms for Stationary Retail",

abstract = "A major challenge for stationary retail is the increasing digitization of business. While online retailers can increase their sales through data-driven AI applications, brick-and-mortar retailers are left behind because they have less data available due to their traditional physical stores. To bridge the gap between physical stores and online stores, in this paper, an AI platform that connects the digital world with stationary retail is proposed. A digital twin, which represents instances of physical stores in digital form, builds the core of the AI platform. The AI platform can enable digital business models, as well as sales and operations processes that have not been possible to date.",

keywords = "AI Platform, Digital Twin, Knowledge4Retail, Retail",

author = "Tim Schopf and Kilian Dresse and Florian Matthes",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 5th International Conference on Artificial Intelligence for Industries, AI4I 2022 ; Conference date: 19-09-2022 Through 21-09-2022",

year = "2022",

doi = "10.1109/AI4I54798.2022.00012",

language = "English",

series = "Proceedings - 2022 5th International Conference on Artificial Intelligence for Industries, AI4I 2022",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "22",

booktitle = "Proceedings - 2022 5th International Conference on Artificial Intelligence for Industries, AI4I 2022",

}

Schopf, T, Dresse, K & Matthes, F 2022, Towards AI Platforms for Stationary Retail. in Proceedings - 2022 5th International Conference on Artificial Intelligence for Industries, AI4I 2022. Proceedings - 2022 5th International Conference on Artificial Intelligence for Industries, AI4I 2022, Institute of Electrical and Electronics Engineers Inc., pp. 22, 5th International Conference on Artificial Intelligence for Industries, AI4I 2022, Laguna Hills, United States, 19/09/22. https://doi.org/10.1109/AI4I54798.2022.00012

Towards AI Platforms for Stationary Retail. / Schopf, Tim; Dresse, Kilian; Matthes, Florian.
Proceedings - 2022 5th International Conference on Artificial Intelligence for Industries, AI4I 2022. Institute of Electrical and Electronics Engineers Inc., 2022. p. 22 (Proceedings - 2022 5th International Conference on Artificial Intelligence for Industries, AI4I 2022).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Dresse, Kilian

AU - Matthes, Florian

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AB - A major challenge for stationary retail is the increasing digitization of business. While online retailers can increase their sales through data-driven AI applications, brick-and-mortar retailers are left behind because they have less data available due to their traditional physical stores. To bridge the gap between physical stores and online stores, in this paper, an AI platform that connects the digital world with stationary retail is proposed. A digital twin, which represents instances of physical stores in digital form, builds the core of the AI platform. The AI platform can enable digital business models, as well as sales and operations processes that have not been possible to date.

KW - AI Platform

KW - Digital Twin

KW - Knowledge4Retail

KW - Retail

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M3 - Conference contribution

AN - SCOPUS:85160548550

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BT - Proceedings - 2022 5th International Conference on Artificial Intelligence for Industries, AI4I 2022

PB - Institute of Electrical and Electronics Engineers Inc.

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Y2 - 19 September 2022 through 21 September 2022

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Schopf T, Dresse K, Matthes F. Towards AI Platforms for Stationary Retail. In Proceedings - 2022 5th International Conference on Artificial Intelligence for Industries, AI4I 2022. Institute of Electrical and Electronics Engineers Inc. 2022. p. 22. (Proceedings - 2022 5th International Conference on Artificial Intelligence for Industries, AI4I 2022). doi: 10.1109/AI4I54798.2022.00012

Towards AI Platforms for Stationary Retail

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

K4R: Knowledge4Retail - Künstliche Intelligenz für den Handel

Cite this

Towards AI Platforms for Stationary Retail

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Projects

K4R: Knowledge4Retail - Künstliche Intelligenz für den Handel

Cite this