Towards AI Platforms for Stationary Retail
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.
| Attribute | Value |
|---|---|
| Address | Laguna Hills, USA |
| Authors | Tim Schopf , Kilian Dresse , Florian Matthes |
| Citation | @INPROCEEDINGS{Schopf_et_al_ai4i, author={Schopf, Tim and Dresse, Kilian and Matthes, Florian}, booktitle={2022 5th International Conference on Artificial Intelligence for Industries (AI4I)}, title={Towards AI Platforms for Stationary Retail}, year={2022}, volume={}, number={}, pages={}, doi={10.1109/AI4I54798.2022.00012}} |
| Key | Sc22b |
| Research project | Ecosystem for a Knowledge-Based Platform supporting In-Store Logistics |
| Title | Towards AI Platforms for Stationary Retail |
| Type of publication | Conference |
| Year | 2022 |
| Publication URL | https://doi.org/10.1109/AI4I54798.2022.00012 |
| Project | Ecosystem for a Knowledge-Based Platform supporting In-Store Logistics |
| Acronym | |
| Team members |