They say a picture is worth a thousand words. And that’s exactly why visual search AI is the next big feature of eCommerce.
Before, visual search has been clumsy. So, customers were slow to adopt it. But with AI, things improved greatly.
How did this happen? Also, how can visual search AI enhance customer experience?
Read on to learn more.
In the beginning, there was a text-based search
Most shoppers know what they want. But, they get dumbfounded when it comes to describing it on the search box.
What is its material? What is its name? How can you even describe the details of the product accurately? Or what if you don’t know its correct spelling?
See, those are just a few of the limitations of text-based search. And things went extremely stressful for customers because of that.
But, why is that happening? For one thing, we are visual beings. So, it’s not a surprise that 90% of the information in our brain is visual. We can even identify those in a blink of an eye.
Now, marketers and retailers should take advantage of that. Besides, Gartner said that eCommerce sites with visual search will increase sales.
By how much? Thirty-percent! That’s an impressive gain.
So, what’s visual search all about? And how can AI help improve that technology?
How visual search AI works
The truth about shopping is, most customers don’t know how to describe something. And this happens a lot in clothing, furniture, foods, and many more.
But, how does visual search AI revolutionize that experience?
With visual search, customers can simply take a picture of the product they want. Then, the AI-powered platform will display the available products.
In a sense, the entire real world becomes a shopping catalog. And that’s what customers want.
So, how does AI work in this technology? AI develops amazing image recognition models. So, it improves how customers discover, purchase, and sell products.
For example, the online store can learn what customers want. What they find appealing. Styles they embrace. Fashions they hate.
Without AI, this process can be hard. Why so?
Because personal tastes and styles are different in every person. So, it’s no easy task.
We can also see big players in the industry doing this. For example, Facebook and Google are using AI to enhance the accuracy of visual search.
But, not just that. It can also improve the customer experience. And that happens with the help of getting the customer’s preferences.
What this means for the customer experience
Now, how can it help customers’ experience?
With analytics from AI, choosing what to shop for becomes easier. Once they pick something, it will also show items that look best with the former item.
For example, a shopper picks a red dress. Then, the online store will show a nice bag or shoes that compliment the dress.
And if customers enjoy the journey, they are more likely to buy more. They will even tell more people about the feature.
That’s why the future of search is images. With AI and other technologies, eCommerce will improve greatly in the next years.