Towards A Sustainable Development Cities Through Smart Shopping Trolly: A Response to the Covid-19 Pandemic

Bita, Aileen Anak; Saud, S. N.; Azlan, A

doi:10.1109/iscaie51753.2021.9431780

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2023

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Cited by 4 publications

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Fog computing-assisted path planning for smart shopping

Aliyu

Abdeen

Sheltami

et al. 2023

Multimed Tools Appl

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A Smart City (SC) is a viable solution for green and sustainable living, especially with the current explosion in global population and rural-urban immigration. One of the fields that is not getting much attention in the Smart Economy (SE) is customer satisfaction. The SE is a component of SC that is concerned with using Information and Communication Technology (ICT) to improve stages of the traditional economy. In this paper, we propose a fog computing-based shopping recommendation system. Our simulations used Al-Madinah city as a case study. It aims to improve the customer shopping experience. Customers in shopping malls can connect to the system via Wi-Fi. Then the system recommends products to the shoppers according to their preferences. It optimizes shoppers’ schedules using price, the distance between the shops, and the congestion. It also improves customers’ savings by up to 30%. It also increases the shopping speed by up to 6.12% compared to the system proposed in the literature.

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