Adopting Artificial Intelligence For Visual Detection In E-commerce
As the world population keeps
increasing, technology is gaining traction, and most people now have access to
the internet. With smartphones, it is easier for people to keep track of what
is happening globally. The era of mortar and brick shops is gradually fading
out as consumers now prefer online shopping. Expectations and demands of
shoppers on e-commerce platforms keep changing. Hence, the need for e-commerce
companies to leverage Artificial Intelligence for customers’ satisfaction and
business growth. Some shoppers are always in haste and don’t know what they
want on e-commerce platforms. Retail online businesses need to look beyond the
use of keyword search and matching visual detection. The visual detection makes
it possible for shoppers to search for an item using an image, rather than an
alphanumeric search. Afterward, an image detection system relates the input
data with database items and picks the closest products.
The essence of a visual detection
system on e-commerce platforms is to commercialize images in online retail
companies’ databases. With this technology, shoppers can shop from an array of
available pictures on a retail and fashion website. Also, if a consumer sees a
cute outfit somewhere that excites him or her, the consumer could take a
picture of the outfit with a smartphone, and shop for it on an e-commerce
platform. The consumer shop for the same or similar image item on an e-commerce platform using Artificial
Intelligence technology and visual detection. Adoption of this technology by
retail and e-commerce companies will make products shopping easier and faster
for consumers. The AI system enables shoppers who already have an image of what to shop
to get the product within a twinkle of an eye, instead of wasting time
scrolling through the entire inventory items or using keyword search.
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