The rise of visual search is so visible. Especially now in the retail industry In fact, visual search is one of the biggest digital trends.
With that, Google launched an image search feature in 2001. There was a demand for pictures of a dress Jennifer Lopez wore. Thus, Google added a new search feature.
Moreover, Google launched a new feature in 2009. So, users can find suggested images. Using the addition of a similar image.
Still, it was lacking. So, Google added the Search by Image feature. In 2011, real evolution began. How does it work?
Users upload an image instead of typing. Then, Google shows a list of similar images. It also contains webpages with that item.
Since then, companies have started to adopt visual search. Hence, images became a major traffic driver of online stores.
Visual Search in 2020
Visual search is truly a great alternative to typing. Why?
We can simply use the images we found on Instagram. Or we can point a visual search tool on an item.
Then, voila! It will show you information or similar images.
Moreover, visual search uses more technologies. One of them is Artificial Intelligence.
AI helps find results accurately. So, you’ll find the closest to the image you upload.
Additionally, online retailers use visual search to improve their business. It helps give more quality results.
With that, customers find searching simpler. Besides, a report shows that 62% of millennials choose visual search.
Thus, the marketing industry is investing in this technology. And many companies started to apply it. In fact, it is expected to grow by the end of 2020.
Visual Search Leaders
The leaders of visual search are:
- Amazon
- Bing
Also, many retailers have built their engines. We will talk about them more.
ASOS
In August 2017, ASOS launched its Style Match tool. How does it work?
Shoppers can take a photo using the app. Then, they can crop it to focus on the item. And, voila! ASOS will show your products in their store.
So, the next time you liked a dress of your influencer. Take a screenshot and upload it on ASOS!
eBay
eBay also started its visual search feature. How can you use it?
Let’s say you came across a picture on another website. You can simply click the “Find it on eBay” button. Then, it will search for similar items.
What does eBay use for this to work?
eBay uses deep learning technologies. Using the neural network, it searches the website. Then, it looks for similarities based on the image.
Marks & Spencer
Marks & Spencer also launched a visual search tool. Plus, it is powered by Artificial Intelligence. How does it work?
Users can upload an image of an outfit. Then, the app will show you similar items. What’s more? It appears in less than ten seconds!
Conclusion
Today, visuals dominate the digital world. No wonder why we can see the rise of visual search.
Besides, the brand that uses this will get a lot of benefits. Because visual search is here to stay.
