The novel corona virus disease (COVID-19) is a pandemic, and quarantines are helping to stop it. However, defections of confined individuals around the world are causing considerable concern. This study examines the impact of artificial intelligence methods in the retail business utilizing a qualitative concept research approach. It's encouraging to see the retail sector steadily getting back on track following the impact of COVID-19. This hand band device will easily find the COVID-19 affected. Persons are identified by a 5-metre radius, and they are warned by vibrating. Finally, this chapter provides a conceptual framework for speeding up the struggle to prevent the spread of COVID-19 in India by combining IoT and AI technologies used to combat COVID-19 outbreaks around the world. Business decision-makers and managers should prepare their organizations and workers for the upcoming market shifts based on the findings of this research.
TopIntroduction
The Corona virus (COVID-19) epidemic was initially discovered in late December 2019 in Wuhan, China, and the World Health Organization (WHO) proclaimed it a global pandemic in March 2020. The real innovation in dealing with the pandemic came on the backend, as high-end Artificial Intelligence algorithms delivered advice to new and existing consumers. Artificial Intelligence is pervasive in our lives, despite the fact that many people are ignorant of it. AI has the potential to make significant improvements. It always starts with a consideration of what clients want out of their buying experience. Data collection, data transfer, data analytics, and data storage are the four major functional components of IoT. Data can be collected using sensors that have been installed .end-user mobile hardware, such as phones, robotics, and health monitors, have sensors. Transferring collected data to a central cloud server for data analytics and decision-making, such as if equipment maintenance is required to avoid an unknown future malfunction or a patient check-up is required [6–8]. The deployment of IoT systems in the medical industry took the shape of smart sensors, medical equipment, big data, cloud computing, telemedicine, clinical information systems, and a variety of other types of applications. In order to combat COVID-19, IoT technologies in the healthcare industry can be used for a variety of objectives depending on their application, such as remote patient monitoring, contact network tracking, and hand wash monitoring sensor-based devices. Because of the large and diversified datasets acquired through various data collection techniques, further integrating IoT applications in the retail sector, particularly during the COVID-19 epidemic, promises a faster, more accurate reaction and a better overall healthcare service. This paper presents the results of an exploratory study using a Conceptual quantitative Research methodology, based on AI & IoT Hybrid technology and a location intelligence solution provider for IoT the companies providing Low-Power WAN networking solutions, are launching several solutions to tackle the Covid-19 pandemic at different stages, using various geolocate.
This article covers the most important components of AI and IoT, as well as the methodology employed, the analysis and discussion of the research findings, and the study's conclusions.
The Importance of AI and IoT in the Retail Sector
Covid-19 is brutally transforming everyday businesses into futuristic supermarkets. With disrupted supply chains, they must accommodate all new grocery shopping behaviours, from panic buying to delivery and pickup alternatives. Grocery stores are reacting in different ways. Some are reducing the quantity of things they sell, some are bypassing wholesalers and directly contacting product producers, and yet others are giving their physical storefronts a total digital makeover. Voice recognition, image identification, and handwriting suggestions, all of which are available on today's smartphones are examples of AI in people's and businesses' daily lives. According to Kietzmann, Paschen, and Treen (2018), there are highly valuable AI systems for marketers in order to increase understanding of consumer decision-making, regardless of the course of action taken, AI retail solutions will greatly improve retail operations.