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Design of Ambient Conditions Control Capability in Retail

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Innovative Intelligent Industrial Production and Logistics (IN4PL 2020, IN4PL 2021)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1855))

  • 76 Accesses

Abstract

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.

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Author information

Authors and Affiliations

  1. Department of Management Information Technology, Riga Technical University, Kalku 1, Riga, Latvia

    Jānis Grabis & Krišjānis Pinka

  2. Baltech Study Center, Riga, Latvia

    Kristina Jegorova

Authors
  1. Jānis Grabis
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  2. Kristina Jegorova
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  3. Krišjānis Pinka
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Corresponding author

Correspondence to Jānis Grabis .

Editor information

Editors and Affiliations

  1. Russian Academy of Sciences, St. Petersburg, Russia

    Alexander Smirnov

  2. University of Lorraine, Nancy, France

    Hervé Panetto

  3. University of Paris-EST Créteil, Créteil, France

    Kurosh Madani

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Grabis, J., Jegorova, K., Pinka, K. (2023). Design of Ambient Conditions Control Capability in Retail. In: Smirnov, A., Panetto, H., Madani, K. (eds) Innovative Intelligent Industrial Production and Logistics. IN4PL IN4PL 2020 2021. Communications in Computer and Information Science, vol 1855. Springer, Cham. https://doi.org/10.1007/978-3-031-37228-5_3

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  • DOI: https://doi.org/10.1007/978-3-031-37228-5_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-37227-8

  • Online ISBN: 978-3-031-37228-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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