Design of Ambient Conditions Control Capability in Retail
2023
Jānis Grabis, Kristina Jegorova, Krišjānis Pinka

The ambient conditions have profound impact on customer satisfaction. The paper proposes a systematic approach to control the ambient conditions at retail stores to maximize sales performance. The ambient conditions control solution is developed using the Capability Driven Development method, which is suitable for development of adaptive systems. The problem domain model defining the pertinent concepts is created and used to configure the adaptive solution. The model also quantifies relationships among the ambient conditions and the sales performance. The relationships are derived using the case data provided by a large retail chain. The adaptive solution is implemented on the basis of a model driven capability delivery platform. The platform is used to monitor the ambient conditions in retail stores, to evaluate a need for improving the conditions as well as to enact improvement by passing them over to a building management system.


Keywords
Ambient conditions | Capability | IoT | Retail
DOI
10.1007/978-3-031-37228-5_3
Hyperlink
https://link.springer.com/chapter/10.1007/978-3-031-37228-5_3

Grabis, J., Jegorova, K., Pinka, K. Design of Ambient Conditions Control Capability in Retail. In: Innovative Intelligent Industrial Production and Logistics: International Conference on Innovative Intelligent Industrial Production and Logistics (IN4PL IN4PL 2020 2021). Communications in Computer and Information Science. Vol.1855. Cham: Springer, 2023. pp.36-49. ISBN 9783031372278. ISSN 1865-0929. Available from: doi:10.1007/978-3-031-37228-5_3

Publication language
English (en)
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