Agentic Commerce
PLATEER, the Agentic Commerce Company
Agentic Commerce
Enabling AI agents to discover, transact, and operate across enterprise commerce
The Third Shift
The third shift in commerce:
who buys is changing
PLATEER designed and operated commerce through the first two shifts, online and mobile. Now we lead the execution of the third, where AI agents make the purchase.
1990s – 2000s
Offline → Online
Stores moved to the web.
2010s
Online → Mobile
Shopping moved into our hands.
2025 –
Commerce → AI Agents
AI recognizes products, and agents discover and buy them.
Commerce AX Engineering
Where agentic commerce begins:
20 years of designing and operating commerce
Commerce AX Engineering is PLATEER's foundation business: developing and running large-scale commerce, from general to specialty malls. From new builds on X2BEE to upgrades of clients' existing platforms, we draw on hands-on experience with product structures, transaction rules, and day-to-day operations to design agentic commerce from strategy through implementation.
E-commerce Design · Development · Operations
We build custom commerce platforms for enterprises and run them after launch.
X2BEE
An all-in-one, AI-native, customizable commerce platform: the foundation for commerce where agents guide shoppers in conversation from product recommendations to checkout.
X2BEE AI Agents
Shopping, operations, and customer-service agents support customers, operators, and contact-center staff.
Our commerce clients
Only those who know the data structures and business logic can make agents actually execute.
PLATEER total, as of September 2026
The Engine for Agentic Commerce
The Engine for Agentic Commerce,
across four stages of the customer journey
genser GEO
Organizes product information so that generative AI such as ChatGPT and Gemini can cite your products as sources, and measures how citations change.
Explore the product Explorationgenser Discovery
An AI shopping agent for your online store that understands what shoppers need and guides them to the right product through conversation. Deploy it as a widget, a dedicated page, or via API.
Explore the product TransactionX2BEE
An all-in-one, AI-native, customizable commerce solution. It builds commerce where agents guide shoppers in conversation from product recommendations to checkout.
Explore the product OperationsXGEN
A platform to build, deploy, and govern AI agents that evolves on its own the more it runs. Installed on-premises or in hybrid environments.
An AI agent platform used across enterprises, from commerce operations to finance and the public sector Explore the product Data · Foundation for every stagegenser DataFoundry
Enriches the product information, images, and reviews you already have into product data AI can use (AI Agent Ready Data).
Explore the product Explorationgelatto
A B2C showcase platform that demonstrates genser's technology.
Explore the product Personalization across all stagesgroobee
Automates personalized recommendations and targeting with real-time behavioral data.
Explore the productThe Road to Agentic Commerce
So AI agents transact accurately:
three layers of data, knowledge, and transaction
Connecting to AI is now a given. PLATEER builds the engine that lets AI agents know each client's prices, stock, benefits, and return rules precisely, and transact on them.
Layer 01Data
Turns product information into data that AI agents can read, cite, and recommend.
AI Agent Ready DataRelated products · genser DataFoundry
Learn moreLayer 02Knowledge
Defines product structures, transaction rules, and order and claim states as a standard.
Standard commerce ontology NEWRelated products · X2BEE · XGEN
Learn moreLayer 03Transaction
Reads prices, stock, and orders directly from the commerce system and controls what agents execute.
UCP · ACP · WebMCPRelated products · X2BEE · XGEN
Learn moreAgentic commerce:
let's decide where to start, together
Leave an inquiry and our team will get back to you.
groobee
A subscription AI MarTech SaaS that automates personalized recommendations and targeting with real-time behavioral data.
- 300+Clients to date
- 28Recommendation algorithms
- 43.6BBehavioral data points (as of 2025)
Key features
- Personalized targeting
- Segment customers with rule-based and AI segments, including RFM, purchase probability, and preference analysis.
- Personalized messaging
- Reach customers through on-site pop-ups and floating bars, app push, KakaoTalk, and SMS, and choose the best version with A/B/n testing.
- AI product recommendations
- Use 28 recommendation algorithms, including image-based similar products.
- Analytics and monitoring
- Track visitors in real time and review campaign performance reports.
Getting started
Install a script without changing your store. Most sites go live within one to two weeks. Certified under CSAP (Korea's cloud security assurance program) in November 2023 — the first MarTech solution to earn it.
Clients
Lotte Home Shopping · CU · Shinhan Card · Jeju Air · THE HANDSOME and 300+ more
genser GEO
Structures product information so generative AI such as ChatGPT and Gemini cites your products as sources — and tracks how those citations change.
Key features
- Diagnosis and question design
- See how your products appear in AI answers and identify the questions customers actually ask.
- Content generation
- Create meta descriptions, ALT text, JSON-LD structured data, and AI-ready product summaries, then review their quality.
- Measurement and monitoring
- Measure brand mentions, recommendations, and citation rates in ChatGPT, Gemini, Google AI Overviews, and more.
- Continuous improvement
- Analyze the results and recommend next steps.
Getting started
Enter your domain to receive a free GEO readiness report covering seven areas within three business days. Request a free GEO readiness report
Clients
CJ CheilJedang · HiteJinro Beverage and more
genser Discovery
An AI shopping agent for your online store that understands what shoppers need and guides them to the right product through conversation. Deploy it as a widget, a dedicated page, or via API.
- 86%↑Click-through rate (fashion retailer B, vs. previous AI search)
Key features
- Conversational discovery
- Shoppers describe what they want in their own words and narrow down candidates through conversation, right in your online store.
- Similar items and price ranges
- Find similar products and other price ranges based on an item the shopper likes.
- Intent-based search logic
- Queries are classified as implicit or explicit needs: open-ended questions get discovery and curation; specific requirements get recommendations with reasons.
- Category-specific playbooks
- High-consideration goods such as appliances, furniture, and beauty get expert guidance; spec-heavy goods such as PCs and IT devices get detailed attribute checks.
- Customer service and system integration
- Answers questions from your customer service knowledge base and connects to business systems, such as test-drive booking, to complete requests.
- Intent analysis
- Analyzes goals, context, selection criteria, trust signals, and preferences in each conversation and summarizes them in an intent report.
- Product data sync and enrichment
- Sync products through a Naver Shopping EP, Google Merchant Center feed, or API, then clean up and enrich the feed for agentic search.
Getting started
Choose a widget, a dedicated page, or an API, and run it alongside your existing search.
Clients
SHOEMARKER PLUS · Hyundai Livart Mall · SHOPLIST (Japan) and more
genser DataFoundry
Enriches the product information, images, and reviews you already have into product data AI can use (AI Agent Ready Data).
Key features
- Collection and integration
- Receive product information from Naver EP and GMC feeds, an integration API, bulk files, or designated storage.
- Attribute extraction and enrichment
- Extract attributes such as material, size, and use from main and detail images and reviews, and structure them by product and variant.
- Cross-checking
- Multiple AI models cross-validate each other's output; values without sufficient evidence are withheld.
- One dataset for every genser product
- Connect once, and genser GEO and Discovery both use the same product data.
Updates
Data is refreshed hourly or daily, and stock-outs are synced within an hour.
gelatto
A conversational shopping platform where consumers experience genser technology firsthand. Tell it what you want on the web or in the app, and it finds matching products.
- Apr 2026Launched in Korea and Japan
- 1.5M+Connected product SKUs (June 2026)
- Web · AppAndroid and iOS
Key features
- Conversational discovery
- Describe your situation and conditions, and it finds and compares matching products.
- Korea and Japan
- Available in both countries at gelatto.ai and gelatto.jp.
- Experience genser
- Also serves as the hands-on demo of genser Discovery.
X2BEE
An AI-native, customizable commerce platform. It powers commerce for mid-to-large enterprises by combining modules for membership, catalog, orders, payments, and settlement.
- 11Modules
- 167Menu items
- Grade 1GS Certification (KTL, January 2023)
Key features
- Composable modules
- Combine shared modules built on a MACH architecture to compose and extend storefront, back-office, and supplier-portal screens.
- Commerce AI agents
- Shopping, operations, and customer-service agents support customers, operators, and contact-center staff.
- Multilingual and multi-site
- Supports Korean, English, and Japanese, multiple domains and sites, and B2B accounts.
- Integration
- Connects payment, tax invoicing, order collection, and legacy and ERP systems.
Delivery
Available in Pro and Enterprise plans, both including source code.
Clients
THE HANDSOME · CJ Olive Young · Genesis Europe · Lotte Card · Osstem Implant and many more
XGEN
An agentic AI platform that lets enterprises build, deploy, and govern their own AI agents, and that evolves on its own the more it runs. It handles real work from commerce operations to finance and the public sector, on-premises (including air-gapped), in the cloud, or hybrid.
- Grade 1GS Certification (TTA, July 2026)
- 11Patents and certifications (AI Labs, October 2026)
Key features
- 01 Control and governance
- Manage access (RBAC), approvals, PII and banned-word controls, and audit logs, and install on-premises or air-gapped so data never leaves your organization.
- 02 Self-evolving
- Reviews execution results, then finds and fixes the nodes, tools, and models it needs, so it performs better the more you use it (Geny, Xgen-Memory).
- 03 Connect enterprise knowledge
- Finds grounded answers in internal documents and data with Omnifuse and Ontology RAG.
- 04 Build agents
- Build agents in chat (EasyMode, DexOn) or on a canvas (Workflow Canvas), and turn existing web systems into tools with PathFinder.
- 05 Connect to everyday workflows
- Connect to internal systems through MCP and APIs, and let multiple agents split roles and collaborate. Agents on the server carry work through to users’ PCs (DexOn).
- 06 Operations and observability
- Track and improve execution, tokens, and quality with dashboards and Agent Tracing.
Demo videos
Videos are narrated in Korean.
5:01Platform proof-of-concept demoFrom document upload to AI agents and quality checks
6:44Agent Studio full feature demoAgent building, RAG, tool integration, quality evaluation, and collaboration
1:53DexOn workspaceVibe coding demo: build apps in natural language
Finance cases
In-house generative AI platform at Jeju Bank (in operation), AI platform for iM Capital (contract signed, 2026)
Clients
Jeju Bank · iM Capital · Lotte Home Shopping and more
AI Agent Ready Data
Related productsgenser DataFoundry
genser DataFoundry is a core PLATEER technology. It is the foundation of genser GEO and genser Discovery.
AI agents can only do their job when product information is in place first. Yet much of it, such as materials, ingredients, and specifications, lives only in detail images and reviews written for people. genser DataFoundry extracts, structures, and verifies this information into product- and option-level data that search and AI agents can use right away, and updates it as products change.
Three sources
- Main images · product photos
- Turns visible features such as logo placement, neckline, cuffs, and hem into captions and attributes.
- Product detail images
- Reads seller text in images (materials, ingredients, specifications, shelf life) with OCR and checks it character by character.
- Customer reviews
- Summarizes purchase experience such as size fit, thickness, and color payoff by skin tone, per product and variant.
How it works
- 01Combine · structureAdds image text, photo features, and reviews to existing product data as attributes. Information that already exists is not recreated.
- 02Check against the sourceNumbers and units are accepted only on an exact match with the source, and we check that no other product or brand-wide information is mixed in.
- 03Cross-reviewMultiple AI models split the review of evidence, wording, and omissions. Items without enough evidence are held, not generated.
- 04Update changesOnly changed products are reprocessed, with processing time, version, and change history recorded.
Example · beauty product (blush)
- Texture · finish
- Wet baked · subtle shimmer
- Formula claims
- Clean vegan · talc-free (seller claim)
- Options
- Color description and full ingredient list for each of the 6 shades
- Shelf life
- 36 months from manufacture / 12 months after opening
Used for searches and questions likevegan blush · shimmery cool-tone blush · ingredients by shade
Seller claims are stored as stated and never turned into certified or verified values.
Where it is used
Integration · updates
Connects through product feeds (Naver EP · Google Merchant Center), API, bulk files, or designated storage, and updates in hourly or daily batches.
Standard commerce ontology NEW
Related productsX2BEE · XGEN
An ontology is a knowledge system that defines commerce concepts such as products, orders, claims, and coupons, along with their relationships, states, and transaction rules, in a form AI can understand. PLATEER is codifying 20 years of commerce operations into a standard ontology for X2BEE and XGEN. Instead of building from scratch for each client, we add only the client's own rules on top of the standard.
Three principles
- Values from the source
- Prices, stock, and order status are read in real time from the commerce system, not from copied values.
- Decisions by rules
- Defined rules decide questions such as return eligibility or coupon use; AI helps understand the question and explain the answer.
- Evidence with every answer
- Each answer shows which rules and criteria it was based on.
Roadmap
- 01ProveStart with orders and claims, where rules are densest, and measure transaction accuracy.
- 02ProductizeBuild the standard ontology into X2BEE and XGEN and apply it to clients.
- 03Expand by industryExtend to fashion, food, B2B, and other industries to set the standard for agentic commerce.
We apply the standard ontology to clients in phases through the X2BEE and XGEN products.
Commerce where agents transact
Related productsX2BEE · XGEN
As AI agents search, add to cart, and check out on behalf of customers, transaction accuracy depends on the seller's system. PLATEER builds commerce that reads prices, stock, and orders directly from the source, controls agent actions under permissions and approvals, and lets external AI agents come in through open standards.
Related products
- X2BEE · where transactions happen
- An AI-native, customizable commerce platform that holds the source data and APIs for products, carts, orders, payments, claims, and delivery.
- XGEN · control over agent actions
- A platform to develop, deploy, and control AI agents. It manages what agents can do, approval steps, and execution records under one standard.
Agent commerce standards Phased adoption
- UCP (Universal Commerce Protocol)
- An open specification covering product discovery, carts, checkout, and order management, co-developed by Google, Shopify, and others.
- ACP (Agentic Commerce Protocol)
- A specification maintained by OpenAI and Stripe, centered on merchant checkout and delegated payment.
- WebMCP
- A web API that lets a web page register its functions as tools that AI agents can call directly (W3C Community Group draft).
Shared principle
In all three standards, the seller remains the merchant of record, and the seller system's response is the final reference for price and stock. That is why accurate source data in X2BEE and execution control in XGEN form the foundation of agent transactions.
X2BEE adopts these standards in phases, starting with UCP and ACP.