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AI Magic Data: why Looma understands your products, not just their names

AI Magic Data — the Looma technology competitors don't have: how AI understands every product (attributes, synonyms, categories, ratings, reviews) and searches by meaning, not by string.

Looma Team 6 min read
AI Magic Data: why Looma understands your products, not just their names

Picture two salespeople in your store. The first one only knows product names and prices — so when a customer asks for "something reliable with great reviews under $80," he shrugs. The second knows every product in detail: what it's made of, who it's for, how it beats the one next to it, what buyers say about it. The second one sells far more. That gap — between the two salespeople — is the gap between ordinary search and Looma.

Most search and chat tools for stores work like the first salesperson: they match products by name and price. Looma works like the second. And it does so thanks to a technology competitors don't have — we call it AI Magic Data.

Ordinary search vs AI Magic Data
Ordinary search and chat see only a name and a price. With AI Magic Data, Looma sees the whole product — attributes, synonyms, category, rating and reviews.
The idea

What AI Magic Data is

AI Magic Data is Looma's own process that turns your catalog into a deep understanding of every product. Instead of relying on how a product happens to be named in the feed, our AI studies each item itself and builds a structured profile for it. Here's what goes into that profile — for every single product:

Attributes — every parameter that matters in that category, gathered into one clean shape
Description — a clear explanation of what the product is and who it's for
Synonyms and alternative names — how customers might call it, typos and other languages included
Category — the product's precise place in your catalog structure
Ratings and reviews — scores and review counts, so it can recommend "top-rated"
One product profile
AI Magic Data brings it all into one profile per product — everything Looma understands about it, in one place.

The key word here is understanding. Looma doesn't just store this data — it works with it: when a customer describes a need in their own words, the system matches it against product profiles by meaning, not by matching letters. That's why it finds what ordinary search misses.

How it works

Three steps that make a product "understandable"

The store fills in nothing by hand. The whole process is automatic — you only connect your catalog:

1. The AI studies your catalog

Looma reads your product pages the way a shopper sees them — with all the detail, not just the name in the feed.

2. It understands each product like an expert

Our AI grasps what the product is, what it's made of and how it differs from others — at the level of an experienced salesperson in your niche.

3. It builds one unified product profile

Everything gathered is brought into a single normalized shape — attributes, synonyms, category, rating. That profile is what powers search and chat.

How AI Magic Data works
The process is automatic: Looma reads your catalog, understands each product and builds a profile that powers both search and chat.

In effect, Looma "smart-reads" your entire catalog once — and from then on each product isn't a row in a database but a clear entity it can describe and match.

Result #1

Search that finds by meaning

Because Looma knows the synonyms, alternative names and typos for each product, search stops giving up at the first slip. The customer types however they like — and still lands on the right item:

But the best part: search works not only by words, but by attributes and reviews too. A query like "something reliable with the best reviews under $80" would simply baffle ordinary search. Looma breaks it into meaning — reliability, rating, budget — and shows exactly what fits.

Result #2

An assistant that truly knows your products

The same product profile is visible to the AI chat. So the assistant doesn't "guess" — it answers with substance: it describes the product accurately, compares models by their attributes, and advises with ratings and reviews in mind.

The customer asks by meaning — the assistant answers by attributes and reviews
Recommend wireless earbuds with the best reviews and long battery, under $80
Here's the top pick in your budget: up to 8 hours plus the case, sweat resistance, and the highest rating among models in this category. Want the price and availability?
How is it better than the next one?
It has longer battery life and a higher review rating; the other one is cheaper but has no sweat resistance. If you take them on the go, the first is the better call.

Without AI Magic Data, a chat could at best give a price and a link. With it, the chat runs a full consultation — because it "knows" every product as well as your best manager does.

Why it's hard to copy

Not "one more integration" — an edge

Anyone can bolt on a search-by-name box or a basic chatbot today. The hard — and valuable — part is different: understanding every product in a large catalog, keeping that understanding fresh, and applying it in search and dialogue at once. That doesn't happen over an evening.

We refined AI Magic Data on real stores and real traffic — across hundreds of thousands of live queries. We optimized not a pretty demo, but how precisely the system finds and matches products in the wild. That's why it works in practice, on live sales, not just on paper.

Works across the whole catalog

A hundred products or tens of thousands — understanding is built for every item, not just the "top 100."

Stays up to date

Your catalog changes, and so does the understanding. New products are picked up, so search and chat always speak on current data.

In short

Most tools see your product as a name and a price. Thanks to AI Magic Data, Looma sees it the way an experienced salesperson does — with attributes, synonyms, category, ratings and reviews. That's why both search and chat find products by meaning, run a precise consultation and drive the customer to a purchase — right where ordinary solutions show "nothing found."

You don't change your catalog and you fill in nothing by hand. You simply connect Looma — and it starts understanding your products and selling them.

Want to see AI Magic Data in action on a real store? See the full case study → or the Looma overview →

Want the same for your store?

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