Unlocking Shelf Performance Potential in Stationary Retail Using Artificial Intelligence: Learning from Digital Shelf Twin Data

Roggenkämper, Luisa; Feurer, Sven; Schuhmacher, Monika C.

Unlocking Shelf Performance Potential in Stationary Retail Using Artificial Intelligence: Learning from Digital Shelf Twin Data

URI

https://arbor.bfh.ch/handle/arbor/36408

Version

Published

Date Issued

2023-05-25

Author(s)

Roggenkämper, Luisa

Feurer, Sven

Schuhmacher, Monika C.

Type

Conference Paper

Language

English

Subjects

H Social Sciences (General)

Publisher URL

http://www.emac-online.org/

Related URL

https://www.emacconference2023.org/

Organization

Marketing

Wirtschaft

Conference

EMAC ANNUAL CONFERENCE 2023

Submitter

Feurer, Sven

Citation apa

Roggenkämper, L., Feurer, S., & Schuhmacher, M. C. (2023). Unlocking Shelf Performance Potential in Stationary Retail Using Artificial Intelligence: Learning from Digital Shelf Twin Data. EMAC ANNUAL CONFERENCE 2023. https://arbor.bfh.ch/handle/arbor/36408