Authors :
Ar.S. Santhana Divyaa; Ar. V. Vidya; Ar. B.A. Mookambika
Volume/Issue :
Volume 8 - 2023, Issue 5 - May
Google Scholar :
https://bit.ly/3TmGbDi
Scribd :
https://tinyurl.com/yfnyx7bt
DOI :
https://doi.org/10.5281/zenodo.8055474
Abstract :
The retail industry has undergone significant
changes in the last ten years as a result of digitalization
and technological advancement, and retailers have had to
adapt by putting new business models and competitive
strategies in place to meet the needs of their customers.
The sector has been impacted by numerous new trends
over the past few decades, including the emergence of
supermarkets, the onset of e-commerce, the introduction
of cashier-less stores, and more. In the latter, human
involvement is minimized through the use of cameras,
sensors, and self-shelving units. This is a new form of
store that is entirely computer-based and digitalized. The
introduction of Amazon Go, this growing idea was first
introduced by Amazon, but other start-up businesses are
quickly embracing the difficulty. The online retailer
Amazon runs a chain of Amazon Go convenience stores in
the United States and the United Kingdom. Nowadays, no
one likes waiting in line at the register when shopping.
Amazon developed automated Go stores that incorporate
computer vision, deep learning algorithms, and sensor
fusion for the buy, checkout, and payment phases
involved in the retail transaction to automate this process.
There are 32 stores in the United States as of March 2021
(both announced and established), and there are 15 in the
United Kingdom. We shall examine every facet of this
technology in this essay. This essay aims to examine
customer knowledge of cashier-less stores and the
applicability of many aspects of this novel type of store.
Keywords :
Amazon Go, Deep Learning, Computer Vision, Sensor, Aws, Rl, Technology.
The retail industry has undergone significant
changes in the last ten years as a result of digitalization
and technological advancement, and retailers have had to
adapt by putting new business models and competitive
strategies in place to meet the needs of their customers.
The sector has been impacted by numerous new trends
over the past few decades, including the emergence of
supermarkets, the onset of e-commerce, the introduction
of cashier-less stores, and more. In the latter, human
involvement is minimized through the use of cameras,
sensors, and self-shelving units. This is a new form of
store that is entirely computer-based and digitalized. The
introduction of Amazon Go, this growing idea was first
introduced by Amazon, but other start-up businesses are
quickly embracing the difficulty. The online retailer
Amazon runs a chain of Amazon Go convenience stores in
the United States and the United Kingdom. Nowadays, no
one likes waiting in line at the register when shopping.
Amazon developed automated Go stores that incorporate
computer vision, deep learning algorithms, and sensor
fusion for the buy, checkout, and payment phases
involved in the retail transaction to automate this process.
There are 32 stores in the United States as of March 2021
(both announced and established), and there are 15 in the
United Kingdom. We shall examine every facet of this
technology in this essay. This essay aims to examine
customer knowledge of cashier-less stores and the
applicability of many aspects of this novel type of store.
Keywords :
Amazon Go, Deep Learning, Computer Vision, Sensor, Aws, Rl, Technology.
