This AI Powered Product Discovery Tool Beats Google at E-Commerce Image Recognition - Miros

This AI Powered Product Discovery Tool Beats Google at E-Commerce Image Recognition 

I saw Samsung’s new Circle to Search feature and instantly thought it may disrupt e-commerce.

However, it probably won’t. Read on to learn which tool will.

Circle to Search is a great new way to quickly search the internet for items or text without switching apps or manually typing out keywords. Samsung users can now simply use their finger or an S Pen to circle what they want to search, and the phone will automatically search Google for the circled item or text.

This is definitely a fun feature, but does it excel for e-commerce?

Circle to Search essentially uses Google Lens and reverse image search. These are important technologies, but I just don’t see much room for disruption within the online shopping landscape.

It’s simply not how people shop online.

It’s All About Desires, Fun and Simplicity

Sure, Circle to Search and Google Lens can be useful when you see an exciting item somewhere and want to track it down, but online shopping involves and evolves into something much bigger than that.

From the standpoint of e-commerce businesses, it’s all about satisfying the shopper’s needs and desires. You must make their buying journey as user-friendly as possible, and that’s where using dominant visual search tools and specialized apps for product discovery comes into play.

Google is the number one company for traditional search methods, no doubt about that, but it’s not dominant for e-commerce image recognition and visual product discovery.

Essentially, it is almost impossible to make an all-round piece of technology that dominates all possible niches. Yes, Google’s AI image recognition methods are great for many things, but if you are an online retail store looking for new ways to significantly improve your platform’s shopping journey, you should use a specialized AI-powered product discovery tool.

So, a huge thank you goes to Google for everything it has done for traditional search, but other image recognition and visual search tools are currently dominating the e-commerce industry.

How do these tools do that? They enable e-commerce businesses to give their customers exactly what they want.

What do Shoppers Want?

Customers want a strong, consistent, individualized, simple, and fast buying experience.

They don’t want a complex, slow, and frustrating shopping process. They don’t want to search for an item and learn that your online retail shop doesn’t offer the product they want (even though your business does sell this product, but more on this later in this article).

It drives them away, never to return again.

Last year, Storyblok revealed that 60% of online shoppers regularly abandon purchases because of poor website user experience, with businesses estimating it costs around $72,000 in lost sales per year.

Another study by Amazon Web Services shows that e-commerce businesses lose 35% of sales due to bad UX, translating to roughly $1.4 trillion worth of sales.

These are some serious yet easily solvable issues that too many e-commerce retailers face and are losing both money and customers.

So, how do you eliminate this problem?

Fix Your Product Search Functionality

Poor website navigation and product search functionality are among the 5 most frustrating things for your shoppers. This is why eliminating difficulties in finding items or navigating through the website is critical for all online retailers who don’t want to lose massive sales without even realizing it.

If your product search mechanism isn’t effective and capable enough, your shoppers might not be finding the products you do sell even though they searched the “right” terms. This is the problem that text-based search brings.

This is why product discovery tools based on visual search and machine learning are necessary for improving website navigation and search functionality, especially for large e-commerce platforms. They instantly enhance the overall shopping experience and increase customer satisfaction.

How Are AI-Powered Image Recognition Tools Changing E-Commerce?

AI photo search software is used across various sectors and niches, including stock image platforms for sorting and organizing photos, social media for facilitating content discovery, healthcare for identifying medical conditions, and so on.

But one of its biggest potentials lies in e-commerce.  


Product discovery tools based on visual AI and machine learning technologies, also known as wordless search, help your shoppers find the items much more effectively than traditional text-based methods that only rely on keywords.

AI image recognition methods analyze visual search patterns to quickly identify which products are truly relevant to consumers’ intent and return those items to shoppers. This innovative approach delivers a seamless shopping experience, like having a personal shopping assistant who knows your style and desires.

It’s almost like the AI image recognition search tool is reading your mind, delivering only relevant products in a few clicks and in less than 60 seconds.

Want to know if it’s truly effective and which tool is the one that outperforms Google at machine learning based image recognition for online retailers?

Dominate E-Commerce With can be easily integrated into your platform and will quickly provide your shoppers with a streamlined online shopping experience. It will help them find exactly what they are looking for in 60 seconds and will make them browse your shop for at least 60 minutes more.

The niches that benefit from using Miros the most include:

It will enable the following advantages:

  • Eliminate the need for manual product tagging
  • Remove the need for cookies
  • Improve personalization and product recommendations
  • Speed up search and product discovery
  • Enhance the overall shopping journey
  • Boost engagement and consumer retention
  • Cut costs
  • Increase sales and optimize revenue

Miros provides a shopping experience that mirrors the addictive and fun engagement of social media platforms like TikTok or Pinterest.

Here’s a quick example of how it works:

It beats any other way of product discovery and improving personalization while your shoppers don’t have to give away a single piece of private data.

The shopper simply uses a single query, and by clicking on a couple of images, the AI photo search reads what’s in the pictures and brings only relevant products to their feed.

No filters.

No cookies.

No opening countless new tabs while searching for that perfect dress.

Here’s how it improves product recommendation:

Want to boost your e-commerce business? Book a demo with the Miros team and experience the future of e-commerce firsthand!  

Wordless Search

What is it?

Just like the name suggests:

Search without using a single word.

Buying visually complex items like fashion, clothes, footwear, furniture, art, design pieces, decor… is a function of style and beauty, not features. So why do we keep making our shoppers buy these like they’re buying a book or a laptop?

Wordless Search is an AI technology that relies on shopper behavior. It recognizes browsing patterns based on which it mirrors the buying intent your shopper has, without them having to input a single word. It gives off the impression that their minds are being read.

Book a demo

Learn about Wordless Search

Give your shoppers the experience they were always willing to pay a premium for. Book a demo to see how.