Deep learning is a type of machine learning and artificial intelligence that gain knowledge and information the way humankind does. Deep learning and AI exists in supermarkets too, having many great values.

1. T H E V A L U E O F A R T I F I C I A L I N T E L L I G E N G E
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C U S T O M E R S ' P E R K S
A N D H A R D S H I P S F R O M
A . I . I N G R O C E R Y
R E T A I L Katie Byrum
anumak.com
aNumak
& Company

2. W H A T I S D E E P L E A R N I N G ?
Deep learning technology (also known as
deep structured learning) is a type of
machine learning that’s programmed to
think like the human brain. It’s mainly used
for data science, statistics, customer
support, and medical care. Deep learning is
one of the most complex versions of
machine learning. Due to it being so
complex, programmers must be very
particular when imputing data.
Deep learning technology is programmed
using a method called feature extraction,
which revolves around measured data and
derived values put into the computer.
Although deep learning technology
requires a massive amount of data input,
training time, and computational power, it
interprets data fast and makes people’s
lives easier, especially because it works like
a human brain.
For the past few decades, artificial intelligence (AI) has been making significant advances and
becoming more involved in people’s lives. Whether its checking social media, sending an email,
or talking to a chatbot, people are constantly surrounded by AI. One area that AI is significantly
impacting is the grocery retail industry. In supermarkets today, we’re able to pay for groceries
using cell phones, order groceries online, check on shelf availability, along with several other
things. All these new technological advancements are made possible by deep learning.
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3. Although people don’t always notice it, there
are several different types of AI in grocery
stores. Today, technology such as computers,
security cameras, and smartphone apps are
heavily involved in the shopping experience.
This technology can keep track of inventory
production, promotions, marketing, and
helps prevent theft. In terms of the
customer, it can help them navigate grocery
stores, show what’s in stock, skip the
checkout line, and allow them to the online
shop. In the past few years, more people
have switched to online shopping. When
COVID19 entered the U.S, the number of
people online grocery shopping increased by
30%. Today, the amount of people online
shopping is still increasing along with the
amount of technology used in the industry.
AI AND DEEP
LEARNING IN
SUPERMARKETS
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4. T H E V A L U E O F A I
By having AI in grocery stores, the store can
gather information about the customers
shopping habits. Not only is this
technology valuable for the store, but it’s
also helpful for the customer. For example,
in several grocery stores, there’s deep
learning technology that shows what
people take off the shelves, what they put
in their carts, and what they put back on
the shelves. The technology can remember
the customers food interests and can give
them recommendations on what to buy in
the future. Furthermore, technology can
also help the customer navigate the store
and see what items are in stock.
On-shelf availability (OSA) is a method
used in grocery stores that shows
customers what’s in stock and what’s not.
This can be seen on several supermarket
apps and online. This can be beneficial to
the customer because if something they
need isn’t available, they can go to another
store to get the item or they can come
back another day when it’s in stock.
Another deep learning technology that’s
being integrated into stores is an app used
to skip the checkout line. Instead, their
credit cards are linked in store mobile apps
and they’re immediately charged once
they leave the store.
"COMPUTER VISION, SENSOR FUSION, AND DEEP LEARNING COMBINE
TO ENABLE JUST WALK OUT TECHNOLOGY, WHICH IMPROVES
CONVENIENCE. "
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5. W H Y I S I T
H A R M F U L ?
In relation to the previous paragraph, grocery
stores can track customer movements and
behavior through deep learning technology.
While this can be beneficial to stores and
customers, there are several aspects that
could be harmful. One of these is that deep
learning technology gains a lot of information
about people. For example, when a person is
grabbing something off a shelf, some
computers can take snapshots of that
customer. Not only is this harmful to the
people, but it can also affect the business's
reputation. For example, People might not feel
comfortable knowing that they’re being
watched, or they might not know it at all. It
works just like an ad popping up after you visit
a website; technology can track people’s
interests and give them recommendations
based on the person's interest.
" DEEP LEARNING TECHNOLOGY GAINS A LOT
OF INFORMATION ABOUT PEOPLE. "
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