Towards AI Platforms for Stationary Retail

Tim Schopf, Kilian Dresse, Florian Matthes

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

1 Zitat (Scopus)

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.

OriginalspracheEnglisch
TitelProceedings - 2022 5th International Conference on Artificial Intelligence for Industries, AI4I 2022
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers Inc.
Seiten22
Seitenumfang1
ISBN (elektronisch)9781665459617
DOIs
PublikationsstatusVeröffentlicht - 2022
Veranstaltung5th International Conference on Artificial Intelligence for Industries, AI4I 2022 - Laguna Hills, USA/Vereinigte Staaten
Dauer: 19 Sept. 202221 Sept. 2022

Publikationsreihe

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

Konferenz

Konferenz5th International Conference on Artificial Intelligence for Industries, AI4I 2022
Land/GebietUSA/Vereinigte Staaten
OrtLaguna Hills
Zeitraum19/09/2221/09/22

Fingerprint

Untersuchen Sie die Forschungsthemen von „Towards AI Platforms for Stationary Retail“. Zusammen bilden sie einen einzigartigen Fingerprint.

Dieses zitieren