Search that does not hurt
Finds the product despite typos, synonyms and loose phrasing.
AI in the app
AI search and recommendations that sell for you
Smart search understands the query even with typos and synonyms, and recommendations are picked personally — higher search conversion and a bigger basket.
Capability
What the AI does
Recommendations
"Similar" and "bought together", plus a personal feed per user.
Impact on revenue
Higher search conversion and a bigger basket, through relevant results.
Why it matters
Search is the last step before a purchase — or before leaving
An app has no address bar and no ten open tabs: if someone does not find the product in a couple of taps, they do not rephrase the query, they close the app. That is why search and discovery quality is worth more in a mobile interface than on a website.
For the shopper
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Finds the product even when the name is misspelt or typed in the wrong keyboard layout
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Sees suggestions and recent queries instead of a blank "nothing found"
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Gets "similar" and "bought together" right on the product page and in the cart
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The home screen shows products from their categories, not a random window
For the business
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Fewer zero-result searches — fewer people lost at the point where they were ready to buy
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A bigger basket through upsells that need no work from a content manager
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Collections assemble themselves; nobody curates them by hand for every promotion
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The effect shows up in analytics: share of successful searches and clicks from recommendations
Under the hood
How the engine reads a query
Ordinary search compares strings: "snekaers" is not "sneakers", so the results are empty. AI search interprets the query by meaning — and gets the person to a product page.
Typos and keyboard layout
It corrects mistakes, understands synonyms, and handles text typed in the wrong alphabet. "Snekaers nike" leads to Nike sneakers rather than a blank screen.
Similar and complementary
"Similar products" and "bought together" blocks on the product page and in the cart — where an upsell fits and does not feel pushy.
A personal feed
The home screen adapts to a specific user's browsing and purchase history rather than showing everyone the same window.
Data
All integrations
Where the engine gets products and stock
Search runs against your real catalogue, not a month-old export: products, prices and stock stay in sync with your back office, so nothing appears in the results that is not actually in the warehouse.
FAQ
Common questions about AI search
How is smart search different from ordinary search?
Ordinary search looks for an exact string match and returns nothing on a typo. AI search understands what the query means, corrects mistakes, allows for synonyms and the wrong keyboard layout — and gets the user to the product.
Where do the products and stock in the results come from?
Catalogue, prices and stock are pulled from your back office or website through the integrations. Search and recommendations only ever show what is actually available.
Do recommendations have to be configured by hand?
No. The "Similar" and "Bought together" blocks are generated automatically, and the quality improves as behavioural data accumulates in the app.
How does search affect revenue?
It reduces the share of zero-result searches and the drop-offs that follow, while recommendations lift average order value through relevant upsells. The exact effect depends on your range and traffic — the app analytics show it.
Can we test search on our own products before launch?
Yes. We build a demo on your catalogue in one day — you test search and recommendations on your real range, with no access to your website needed.
We will show you your app tomorrow
Send us a request and we will build a demo on your catalogue
in one day, with no access to your website.