Built for ecommerce AI search engine
Grow revenue and automate operations at the same time. The engine reads the real purchase intent behind vague, long queries and finds the right products among tens of thousands.
Learn moreFor commerce teamsevaluating AIEcommerce AI solutions
Search, recommendations, shopping assistants, and short-form video.An ecommerce AI partner with 14 years in AI.Go live fast with AI that grows revenue.
Whether shoppers search or browse, the products they're likely to buy show up first
Shoppers who type a full sentence into the search bar get products that match what they meant, and shoppers who just browse see what they're likely to buy first. Search and recommendations work together on a clean catalog.
Personalized AI recommendation engine
Real-time shopper behavior, product attributes, and context come together to give every shopper a different page. Products this shopper is likely to buy right now move to the front, which lifts conversion.
Learn moreShoppers ask questions and get matching products, compared side by side
When a shopper describes what they need, an agent that has read the product videos, images, and reviews narrows down the options, compares price and what's included side by side, and recommends a pick with the reasons why. The agent runs inside your own store, so your shoppers and your data stay with you.
Learn more
01. Narrow down intent over a multi-turn conversation
Even as requirements pile up, like "a gift, in the $30 range," the agent keeps the context and narrows down the options.
02. Answers grounded in product metadata
Answers are based on structured data from videos, images, and reviews, so the agent can explain why it recommends a product.
03. Compare options side by side
Puts the price, what's included, and reviews of the shortlisted products in one view, and shows shoppers the reason behind each choice.
AI can't find your products.When it does, it gets them wrong.
Shoppers now discover products through AI. AI search and shopping agents find your products, then quote the wrong price or category. The root cause is in the catalog data.
Talk to our teamLive product page
Women > Designers > APLUS ATELIER > Bags > Crossbody bags
APLUS ATELIER
Small Leather Cross Tote
$289
Duties and taxes included, shipping extra
Product details
- Material: Cowhide leather
- Lining: Suede
- Made in Italy
- Color: Brown
- Designer color name: Cognac
- Hardware color: Silver
- Detachable leather shoulder strap
- H 18 x W 22 x D 8 cm
AI answer
What's the APLUS ATELIER small cross tote, and how much does it cost?
| Field | AI answer | Actual | Result |
|---|---|---|---|
| Product | Small Leather Tote | Small Leather Cross Tote | Correct |
| Category | Women's clothing > Accessories | Bags > Crossbody bags | Wrong |
| Price | $319 | $289 | Wrong |
| Color | Brown | Brown | Correct |
Causes
- Display-only category paths
- Broken price data
- Missing required fields
When the catalog is accurate, AI gets your products right
Attribute extraction, categorization, review analysis, and catalog matching engines turn scattered product data into a catalog AI can read accurately. Search, recommendations, agents, and visibility in external AI all get more accurate on this foundation.
Attribute extraction AI
Fills the attribute fields defined by the A Plus AI taxonomy with the best-matching values from scattered product information. AI gets richer product context to read
Categorization AI
Categories are where all ecommerce data starts. Reading each product in context and classifying it into the A Plus AI taxonomy or your own lifts search, recommendation, and revenue metrics together
Catalog matching AI
Groups similar products into one. This becomes the basis for comparing unit price, lowest price, and differences in what's included
Review analysis AI
Splits reviews into positive and negative, groups similar ones, and summarizes them as product context. Reviews that used to scroll past build up as evidence for recommendations and answers
Image/video information extraction AI
Pulls on-screen text and speech from broadcast footage into text. Products and lines spoken in a video become searchable
Text classification AI
Sorts natural language data such as customer inquiries and support chats by criteria that fit your purpose, so you can manage it. We can start by helping you define new classification criteria
These engines process product data every day in the live services of many customers.
An engine trained on 100 million Korean products cleans up your catalog
Trained on the vast data of Korean online stores, the engine turns your product categories and attributes into clean, ready-to-use data.
One of the largest ecommerce datasets
100M
Product records
Ecommerce product data collected over 14 years is what the categorization, attribute, search, and recommendation engines learn from.
68M
Reviews
10M
User logs
1M
Product images
140K
Videos
Pick the AI you need and bring it in all at once
Each field has its own specialist team. Teams that have proven search, recommendations, catalog cleanup, virtual try-on, content creation, meeting notes, and data analysis in live services all work within one company. Few companies cover this many fields this deeply in one place.
Short-form video AIVISKIT
Turn one product page link into short-form video, with subtitles and translation
AI fashion studioFitCL
Zero model fees. One photo of a garment becomes model shots, product pages, and promo videos
Data/analytics AIDataHuB
Programming schedules and estimated sales for 18 Korean TV shopping channels in one view
AI meeting notesKnoi
AI meeting notes with minutes and to-dos already sorted when the meeting ends
Vibe codingSayCode
Vibe coding for businesses: describe what you need and deploy it inside your company right away
Trusted by leading commerce companies
Real changes our customers saw after going live
Each story covers the problem a customer faced and what changed after going live.
See customer stories%2Fhttps%3A%2F%2Fbuzzni-biz-strategy.s3-ap-northeast-1.amazonaws.com%2Fcms%2F567%2F2026-10-16%2Fd628e72db1b34102b8b32eb88ec05165.png&w=3840&q=75)
E-COMMERCE
Shinsegae Live Shopping customer story | Can reducing recommendation slots increase order value?
Order value increased even after reducing recommendation slots from 15 to 4, and the average daily order value in the main area increased by up to 20 times.
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E-COMMERCE
HomenShopping customer story | Can short-form videos be automatically created from broadcast footage?
With a single installation of the integration tool, short-form videos are automatically created and uploaded to the app once a broadcast ends.
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E-COMMERCE
Samsung Card customer story | How to solve the problem of zero search results in a welfare mall?
The problem of zero search results due to Korean brand names and typos was solved by learning purchasing behavior and automatically processing typos and synonyms.
Our work toward agentic commerce
Follow our technology work and our record of going live across industries.
Press releases
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Press release2026.10.20
Buzzni signs a contract to supply AI meeting minutes 'Knoi' to Changcheon Accounting Firm
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Press release2026.10.14
Homeshopping Moa DataHuB publishes 'Monthly Report' for free every month
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Press release2026.10.07
Buzzni launches 'AI Promotional Video Production' feature for FitCL
In the news
View allFrequently asked questions
Find answers to common questions before you get started.
Ecommerce AI applies AI to an online store's search, recommendations, customer support, and content creation so shoppers find and buy what they want faster. Building it in house takes a long time and steady effort, from cleaning up product data to running models and measuring results. A Plus AI brings 14 years of ecommerce AI work and infrastructure that has processed more than 100 million product records, so you can start using search, recommendations, shopping assistants, and short-form video right away.
