Do you know how only your closest friends dare to tell you that a particular pair of pants doesn’t look good on you? It doesn't feel too good, but those are the friends that actually wish you good.
They are also the ones who will recommend what’s best for you.
Now imagine that every search system within any website is your closest friend.
This is the future of online shopping and smart merchandising - only possible through the power of website search that uses AI recommendation systems.
An AI recommendation system analyzes customer behavior and preferences to suggest products or content they will likely purchase. It analyzes the following:
… and so on.
The software then uses algorithms and data-driven insights to make personalized recommendations. This improves the shopping experience for the customers and increases sales and conversions for the ecommerce website.
And even the AI feels better for a job well done—a true win-win-win scenario.
There are three main types of AI recommendation systems:
Content-Based- focuses on product attributes, recommending items similar in characteristics to those the shopper has shown interest in.
Hybrid- combines elements of the previous two. For example, it is widely used by platforms like Netflix and Spotify, which blend user behavior and content attributes.
In 3 key ways:
By using AI ecommerce recommendation systems and AI-powered search, ecommerce businesses improve personalization and make their shoppers feel understood and valued, increasing trust and loyalty.
A McKinsey study shows that companies speed up growth and improve revenue by 40% when they use personalization strategies.
Relevant product suggestions keep shoppers engaged, reducing bounce rates and increasing time spent on the platform. This engagement leads to higher conversion rates and, ultimately:
The potential impact of AI-powered search and recommendations is huge. It can bring an additional $660 billion a year, according to McKinsey & Company.
It provides a TikTok or Pinterest-like shopping experience that is extremely enjoyable for website visitors. Through a couple of clicks and scrolls, they can get exactly the items they are looking for - in 60 seconds or less.
No need for cookies, metadata, filters, or other annoying aspects of online shopping that are slowing down this industry.
Text-based search is slow and complicated. Miros uses wordless search to boost your e-commerce strategy by offering three key benefits:
1. Quick product discovery
2. Streamlined ecommerce operations
3. Increased revenue
Let’s schedule a demo with the Miros team and see how your shoppers can get a quick and immersive TikTok-like shopping experience.
The first 60 seconds mirror exactly what they’re looking to buy. The next 60 minutes they browse for stuff they never knew they wanted.
See how your store can inspire them better than Pinterest or Tiktok ever could.
Just like the name suggests:
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.
Give your shoppers the experience they were always willing to pay a premium for. Book a demo to see how.