In today's world where the effects of Covid-19 are felt intensely all over the world, change in traditional retail has become necessary. Traditional merchandising based on physical contact Covid-19 is not suitable. People do not shop from places that are not safe for health. Technological innovations in the retail sector paved the way for information and digital-based commerce. Instant data obtained from the devices used are transferred to central databases over networks. With the machine learning method based on artificial intelligence, more efficient and faster business activities are performed on these data. Sensor and camera-assisted deep learning-based IoT applications play a very important role in combating the epidemic. Shopping environments without contact, waiting, cashier, store assistant, cash flow and credit card applications are a great advantage for the Covid-19 period. Less human contact and hygienic environments that are not crowded are critical in this period. In this study, the use of contactless payments, artificial intelligence-supported digital innovations and Covid-19 measures were examined in the retail sector.
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2 March 2021
FOURTH INTERNATIONAL CONFERENCE OF MATHEMATICAL SCIENCES (ICMS 2020)
17–21 June 2020
Istanbul, Turkey
Research Article|
March 02 2021
Review of the contributions of contactless payment technologies in the COVID-19 pandemic process
Onder Sahinaslan;
Onder Sahinaslan
a)
Maltepe University, Department of Informatics
, Istanbul, Turkey
a)Corresponding author: ondersahinaslan@maltepe.edu.tr
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Ender Sahinaslan;
Ender Sahinaslan
b)
Maltepe University, Department of Informatics
, Istanbul, Turkey
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Emre Gunes
Emre Gunes
c)
Maltepe University, Department of Informatics
, Istanbul, Turkey
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a)Corresponding author: ondersahinaslan@maltepe.edu.tr
AIP Conf. Proc. 2334, 070002 (2021)
Citation
Onder Sahinaslan, Ender Sahinaslan, Emre Gunes; Review of the contributions of contactless payment technologies in the COVID-19 pandemic process. AIP Conf. Proc. 2 March 2021; 2334 (1): 070002. https://doi.org/10.1063/5.0042225
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