Renovating Intelligent Operations in Supermarket Chains

Bruzzone, Agostino G.; Bocca, Enrico; Poggi, Simonluca

doi:10.1109/ams.2009.98

Cited by 2 publications

(2 citation statements)

References 5 publications

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“…The best proposals are evaluated by decision makers that turn them in real actions that affect the retail network and generate soon feedback to guarantee a continuous and persistent machine learning process. It is important to outline that to succeed in this plan it is fundamental to use highly qualified experts not only in designing the details of the architecture and developing the different components, but also to engage the decision makers and guarantee the accreditation of the models and of the new decision processes; it is evident that this results is strongly related with Verification and Validation procedures based on experimentation of the solution on the field and extensive testing (Bruzzone, Bocca & Poggi, 2009).…”

Section: Strategic Engineering and Retail Optimizationmentioning

confidence: 99%

Artificial Intelligence to support retail sales optimization

Bruzzone

Sinelshchikov

Massei

et al. 2020

Proceedings of the 32nd European Modeling &Amp; Simulation Symposium (EMSS 2020)

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Section: Strategic Engineering and Retail Optimizationmentioning

confidence: 99%

Artificial Intelligence to support retail sales optimization

Bruzzone

Sinelshchikov

Massei

et al. 2020

Proceedings of the 32nd European Modeling &Amp; Simulation Symposium (EMSS 2020)

Self Cite

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show abstract

“…The authors of this paper have used modeling and simulation for solving different problems related to technical aspects of retail store decision processes, i.e. item inventory management, store logistics optimization, store dynamics, sale losses and out of stock occurrences, and store sector organization [31][32][33].…”

Section: Technical Aspects Of the Retail Store Decision Processmentioning

confidence: 99%

An Advanced System for Supporting the Decision Process within Large-scale Retail Stores

Bruzzone

Longo

2009

SIMULATION

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This paper proposes an advanced decision system, called Virtual Dynamic Store (VDS), for supporting retail store management. The VDS architecture supports the decision processes within retail stores by providing users with three main functionalities: store layout analysis, item and shelf management, and store monitoring and control by real-time simulation (or remote control by on-line simulation). As additional functionality, not related to the decision process within a retail store, the VDS architecture could also be used as a virtual web shop for e-commerce. To provide evidence on the relevance of the VDS, the architecture is tested within a real store by proposing four different application examples that show the potential of the VDS as an advanced decision support system.

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Renovating Intelligent Operations in Supermarket Chains

Cited by 2 publications

References 5 publications

Artificial Intelligence to support retail sales optimization

Artificial Intelligence to support retail sales optimization

An Advanced System for Supporting the Decision Process within Large-scale Retail Stores

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