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Ecosystem for a Knowledge-Based Platform supporting In-Store Logistics

Last modified Jun 10, 2023

Motivation & Background

The "Knowledge4Retail" project is a winning project of the "Künstliche Intelligenz als Treiber für volkswirtschaftlich relevante Ökosysteme" programme funded by the Bundesministerium für Wirtschaft und Klimaschutz (BMWK). 
The project is motivated by the fact that little data is available on the movement of products or the customer interaction with a product in a store. However, the availability of such data would enable new services, e.g., the optimization of store layouts, the support of store employees, and an augmented shopping experience for customers. 
Thus, the goal of the Knowledge4Retail project is the design and implementation of a data platform providing standardized data formats, interfaces, and solutions as a basis for AI-supported services. The platform is based on semantic digital twins - digital models of real shops that combine different data of a retail outlet. The project will develop a data format for the digital representation of the structure and processes of retail stores. The innovative aspect of this project is that the data is not only collected but also linked semantically. For example, the digital twin can link data from a store's ERP system, sensors in the store, the digital product catalogue, but also geodata or weather data. 
The Knowledge4Retail project additionally designs and implements four prototypical applications based on the developed data model. These prototypes comprise intelligent intralogistics, strategic retail marketing for the establishment of customer-specific branches, service robotics for the support of store employees, and the Internet of Things (IoT) connection of an intelligent refrigerator. 
As part of the K4R project, the sebis chair is responsible for the analysis, development and consolidation of the Knowledge4Retail ecosystem. The goal of the ecosystem analysis is to identify relevant partners and their pains, which could be addressed by the Knowledge4Retail platform and thus to enable the platform to be used beyond the duration of the project. 
More information about the project can be found here


If you are interested in a collaboration on this research project, please contact Tim Schopf at

Work on ecosystems and Knowledge4Retail


Schopf, Tim; Dresse, Kilian; Matthes, Florian
Towards AI Platforms for Stationary Retail
5th International Conference on Artificial Intelligence for Industries (AI4I), Laguna Hills, USA, 2022

Faber, Anne; Riemhofer, Maximilian; Huth, Dominik; Matthes, Florian
Visualizing Business Ecosystems: Results of a Systematic Mapping Study
Proceedings of the 21st International Conference on Enterprise Information Systems - Volume 2: ICEIS, Crete, 2019

Faber, Anne; Matthes, Florian; Rehm, Sven-Volker; Goel, Lakshmi
Tool-Supported Collaborative Modeling and Visualizations of Business Ecosystems
7th Collective Intelligence, Carnegie Mellon University, Pittsburgh, USA [tbp]

Faber, Anne; Riemhofer, Maximilian; Rehm, Sven-Volker; Bondel, Gloria
A Systematic Mapping Study on Business Ecosystem Types
25th Americas Conference on Information Systems - New Frontiers in Digital Convergence (AMCIS) [tbp]


Faber, Anne; Rehm, Sven-Volker; Hernandez-Mendez, Adrian; Matthes, Florian
Modeling and Visualizing Smart City Mobility Business Ecosystems: Insights from a Case Study
Information 2018, 9(11), 270;

Faber, Anne; Hernandez-Mendez, Adrian; Sven-Volker Rehm; Matthes, Florian
Visualizing Business Ecosystems: Applying a Collaborative Modelling Process in Two Case Studies
29th Australasian Conference on Information Systems (ACIS), Sydney, Australia, 2018 

Braun, Daniel; Faber, Anne; Hernandez Mendez, Adrian; Matthes, Florian
Automatic Relation Extraction for Building Smart City Ecosystems using Dependency Parsing
2nd Workshop on Natural Language for Artificial Intelligence 

Faber, Anne; Riemhofer, Maximilian; Hernandez-Mendez, Adrian; Matthes, Florian
Visualizing an Emerging Mobility Business Ecosystem
5th Internation IEEE Congress on Information Science and Technology (CiSt 2018), Marrakech, Morocco, 2018

Hernandez-Mendez, Adrian; Faber, Anne; Bondel, Gloria; Matthes, Florian
Towards an Ontology-Based Information System for Smart City Ecosystems
Proceedings of the 24th Americas Conference on Information Systems, New Orleans, 2018

Faber, Anne; Hernandez-Mendez, Adrian; Rehm, Sven-Volker; Matthes, Florian
An Agile Framework for Modeling Smart City Business Ecosystems
Proceedings of the 20th International Conference on Enterprise Information Systems - Volume 2: ICEIS, Funchal, Madeira, Portugal, 2018

Faber, Anne; Huth, Dominik; Matthes, Florian
State-of-the-practice in analyzing enterprises' business ecosystems
Multikonferenz Wirtschaftsinformatik (MKWI) 2018, Band 2


Rehm, Sven-Volker; Faber, Anne; Goel, Lakshmi
Visualizing Platform Hubs of Smart City Mobility Business Ecosystems
Thirty Eighth International Conference on Information Systems (ICIS), Seoul, South Korea, 2017

Faber, Anne
Towards a Visual Language Approach for Modeling Business Ecosystems
Proceedings of the Doctoral Consortium and Industry Track Papers presented at the 10th IFIP WG 8.1 Working Conference on the Practice of Enterprise Modelling (PoEM), Leuven, Belgium, 2017

Hernandez-Mendez, Adrian; Faber, Anne; Matthes, Florian
Towards a Data Science Environment for Modeling Business Ecosystems: The Connected Mobility Case. 
Proceedings of the 21 Databases and Information Systems (ADBIS) - 1st International Workshop on Data Science: Methodologies and Use-Cases (DaS) 2017

Amini, S.; Beckers, K.; Böhm, M.; Busch, F.; Celikkaya, N.; Cozzolino V.; Faber, A.; Haus, M.; Huth, D.; Kemper, A.; Kipf, A.; 
Krcmar H.; Matthes, F.; Ott, J.; Prehofer, C.; Pretschner, A.; Uludağ Ö.; Wörndl, W.
Informatikforschung für digitale Mobilitätsplattformen: Am Beispiel des TUM Living Lab Connected Mobility, Informatik-Spektrum (40):2, pages 180-191, 2017.

Faber, Anne; Hernandez-Mendez, Adrian; Matthes, Florian
Towards an Understanding of the Connected Mobility Ecosystem from a German Perspective. 
Proceedings of the 19th International Conference on Enterprise Information Systems (ICEIS) - 1st International Workshop on Advanced Enterprise Modelling (AEM) 2017