What if I told you that the following statement is (somewhat) true: “If you want to succeed online and stay ahead of the curve, don’t be like Google.”
This is a strange sentence, as the word Google has literally become synonymous with online search and is the main playground for anyone seeking to make money online.
But, unfortunately for Google, this statement is true and has become even more so over the past couple of years.
How?
In 2014, Amazon beat them to the punch by releasing its voice assistant Alexa. Alexa became a household name, and Google lost the voice assistant battle despite being the world’s no.1 company for organizing data.
In 2016. Google’s new CEO revealed they’re becoming AI-first. Sounds like Google has learned a lesson and is about to bend the AI search engine curve that others must subsequently keep up with. Right?
Nope.
Fast forward to today, and ChatGPT is THE household name for AI-based chatbots, and there are like 7 people who use Google’s Bard.
Once again, Google (with all due respect) has lost a frighteningly vital game. In its own playground. In its own court. A small startup has dominated this giant by using the very tech that Google had in its pocket for years.
Key takeaway?
Start using AI-based tech before your competitors.
E-Commerce Is Growing Fast, so Is Its Potential for Visual AI Search and AI Search Engine Tech
Ecommerce sales worldwide will top $7 trillion in 2025, which is two times more compared to the numbers from 2019.
This is a huge pie that has enough slices for anyone. But despite the evident growth of the industry, KPIs keep plummeting. The global e-commerce website conversion rate in 2023 is 2.58%. This is a 50% drop when compared to the numbers from 2010. Bounce rate data says that 50% of all visitors leave after viewing just one page. So, what’s wrong?Here’s what:1. Text-Based Search
2. Cookies & Metadata
3. Filters
Text-Based Search is Killing E-commerce
Text-based search in e-commerce sucks because you can’t fully describe visual products using only words.
Consider fashion, for instance.
Words are powerless to describe the nuances of style, fit, and personal preferences. Each shopper has their own unique style, body type, and needs and wants that are nearly impossible to quickly and accurately describe in a text search.
With text-based queries, search engines are often like:
This leads to visitor frustration, missed sales opportunities, and the growing bounce rate mentioned earlier.
And even when you can describe what you want, text search algorithms often return irrelevant results.
This is because text search algorithms are based on matching keywords. So, if you search for “blue jacket,” you might even get items that are not a jacket and not blue.
This is not an efficient way to approach smart merchandising.
Cookies and Metadata are Killing E-commerce
Imagine a world where website cookies and metadata are almost irrelevant to your e-commerce business. It sounds impossible, but that’s precisely what AI photo search can provide to your e-commerce service.
Visual AI search simply reads what is in the product photo instead of what the metadata says.
Believe me – saying goodbye to website cookies and metadata will feel SO good.
You Have Filters Set Which May Hide Some Results
Search filters are also killing your conversions.
While they aim to refine results, they often hide the products that your customers might want to buy.
Visual AI search and AI search engine tech destroy this barrier. By understanding images, they remove the need for filters, exposing a whole wall of products that would be hidden otherwise.
Simply put – a good e-commerce customer journey must not ignore AI.
The Future Is Wordless Search & Using a Powerful Visual AI Search
The future of AI search is like having a personal shopping assistant. The one who understands your preferences, your style, and even your unspoken desires. It’s a world where searches are conducted only by thinking of what you want – bypassing the limitations of words.
AI photo search uses machine learning to understand the intent behind your search queries.
They can also recognize objects in product photos and videos, so they can return more relevant results, even if you can’t accurately describe what you’re looking for.
This is the transformation that visual AI search and AI search engine tech bring:
- No more slow text-based queries
- You can express yourself through photos
- It speeds up the journey from shopper’s intent to product discovery.
Wordless Search is often described as reading consumer’s minds.
Through simple scrolling and clicking, the shopper gets closer to the exact product they want to buy. And the best part is – it takes 30 to 60 seconds for a visitor to find exactly what they’re looking for.
Let Miros Help Your E-commerce Beat Direct Competition
Miros.ai can help you effortlessly integrate this powerful AI-based solution to provide your consumers with a streamlined online shopping experience.
The one that will enable them to find exactly what they are looking for in 60 seconds, but also make them browse your products for at least 60 minutes more, effortlessly blending personalization and efficiency.
Whether it is:
…or any other type of product that you are selling, Miros can help your buyers get just the product(s) they seek in seconds. Without website cookies or the exhaustive use of metadata.
Imagine a shopping experience that mirrors the addictive, swipe-happy engagement of social media platforms like TikTok.
Miros’ clients quickly saw a 4.7% increase in conversion rate, an 8% boost in AOV, and a 19% rise in GMV, with customers who had their buying journey curated by Miros bringing in 2.6x more revenue per shopper compared to the control group.
Your e-commerce business can easily end up in one of these case studies linked above. Feel free to book a demo here and let us show you firsthand how your shoppers can start finding exactly what they’re looking for in seconds.
