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Artificial Intelligence Based Store Management

Amirkia Rafiei Oskooei1✉,
Buse Engin Can2,
Gizem Yeldan3,
Özgür Macit4
1Yildiz Technical University
2Koçtaş Research and Development Center
3Koçtaş Research and Development Center
4Koçtaş Research and Development Center
Published:December 31, 2023
DOI: 10.56038/ejrnd.v3i4.386
Vol. 3, No. 4

Abstract

The project proposes innovative ideas such as personalized customer interactions through a mobile application and optimizing queues through the sliding checkout model. It also leverages existing kiosks for digital customer connections. The project's methodology is based on comprehensive needs analysis, consultations with industry experts, and the identification of processes suitable for automation. It also prioritizes Research and Development (R&D) in retail merchandising by securing R&D licenses from industry giants.

The project's technological infrastructure is designed for the Azure cloud environment, ensuring operational efficiency and seamless integration with various systems. A robust logging infrastructure is in place to maintain an uninterrupted connection between artificial intelligence support and the backend architecture. The project also develops a mobile application with user-friendly interfaces and cross-platform functionality using Flutter.

The anticipated benefits of the project include time savings for store managers, data-driven decision-making, and experimental positioning for testing and implementing novel methods in store operation. Overall, the "Artificial Intelligence Based Store Management" project aims to set new industry standards by integrating artificial intelligence and machine learning into retail merchandising.

Keywords
Artificial IntelligenceStore ManagementRetail IndustryPersonalized Customer InteractionsQueue Optimization

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Cite This Article
Oskooei, A. R., Can, B. E., Yeldan, G., Macit, Ö. (2023). Artificial Intelligence Based Store Management. *The European Journal of Research and Development*, 3(4), 240-248. https://doi.org/10.56038/ejrnd.v3i4.386

Bibliographic Info

JournalThe European Journal of Research and Development
Volume3
Issue4
Pages240–248
PublishedDecember 31, 2023
eISSN2822-2296