How Computer Vision Shifts the Marketing




How Computer Vision Shifts the Marketing






Computer vision technology is changing the way we live, make a purchase and communicate. It revolutionizes the way we interact with the environment. In a few years, we can expect the mouse and keyboard to become obsolete and replaced by voice command and cameras.
What about showing the search engine the pair of shoes or the dress we want to buy instead of trying to describe it with the right words. Sounds crazy, doesn’t it? This may not happen tomorrow, but soon enough. Let’s delve into the top 5 ways how computer vision technology will change marketing.


Well-performed image search



AI-powered computer vision technology allows users to search by uploading an image. Sensitive algorithms remove the necessity to manually tag products with dozens of descriptive attributes. This new approach will clear the hurdles, making shopping more accessible. If implemented, e-commerce will no longer need detailed pages for each language




Serve relevant graphical content



What is Instagram doing with your home feed? You see the images relevant to your interests, previous searches and followed accounts. Soon, it is expected the same behavior, just triggered by the user’s image search through the uploaded content. As an example, if you are searching for a particular type of tablet, the computer vision algorithms will generate images related to your initial query.


Discover trends



Marketers can discover the most well-received colors or designs by feeding the image search data into ML-based algorithms. These algorithms can also show the products that are searched for together and purchased together. They really simplify some issues, don’t they?


Perform sentiment analysis onsite



Future AI-powered algorithms will scan our faces while we’re shopping or watching e-commerce. Sentiment analysis is currently a sub-domain of text analysis, but it will become an image analysis sub-domain very soon. If you could simply show a clip and then collect users’ reactions, this would replace the boring surveys with real data that is unfiltered and unbiased.



Create dynamic advertising opportunities



There are two variants of dynamic advertising - online and offline. Online concept depends on the previous searches, not only can the person receive a customized ad version, but this can go in fine details such as using their favorite colors or depicting characters to which the user can relate. Offline idea translates into measuring engagement with outdoor advertising by tracking the reaction of people. Specially installed computer vision cameras in the ad panels could reveal if bypasser were impressed, moved or bored.


Комментарии

Популярные сообщения из этого блога

How computer vision reinvents the automation

High expectations for the future of the computer vision in medicine