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IMPACTS OF ARTIFICIAL INTELLIGENCE ON BRAZILIAN E-COMMERCE LOGISTICS DURING THE COVID-19 PANDEMIC

Authors: Silva, Hudson Henrique Machado Costa; Santos, Marcus Vinicius Peralva;

IMPACTS OF ARTIFICIAL INTELLIGENCE ON BRAZILIAN E-COMMERCE LOGISTICS DURING THE COVID-19 PANDEMIC

Abstract

Abstract : With the advent of the Covid-19 Pandemic, which spread rapidly from March 2020 across Brazil, a decline in face-to-face commerce was observed and the need to adapt the tools used in negotiations for service by electronic means. In view of this scenario, investments were made in technologies to optimize processes associated with e-commerce, as an example of the use of artificial intelligence in the logistics of this type of commerce. From this perspective, this article aimed to identify the impacts of artificial intelligence on Brazilian e-commerce logistics during the Covid-19 pandemic. The methodological process consisted of carrying out a descriptive qualitative research based on the development of a bibliographic survey. Based on the research carried out, an increase in e-commerce revenue was observed during the COVID-19 disaster state period (2020 - 2021), in addition to the adoption of technological tools associated with artificial intelligence in the logistical process of the e- commerce. Given the above, it was concluded that the implementation of artificial intelligence in the e-commerce logistics process promotes a positive impact, since it adds value to the products and services offered, inserts the company in the competitive market and promotes the improvement of the efficiency of the process.

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Keywords

Artificial intelligence, E-commerce, Logistics

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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