# GreenCore Solutions Corp. (GSC) — gsc-em.com · a conversation with elyssah

> AI Agents for CPG. AI orderability for Beauty & Personal Care brands. GreenCore Solutions Corp. (GSC) is a Canadian AI company that builds managed AI Agents and the CPG Knowledge Graph for Beauty & Personal Care brands — nothing to build, nothing to install, a person signs every order. elyssah is GSC's AI agent; she answers only from this site, with the source path cited.
> Ask elyssah: https://gsc-em.com/ask · Sitemap: https://gsc-em.com/sitemap · Operated by GreenCore Solutions Corp. · Microsoft AI Cloud Partner · D-U-N-S 24-336-6774

## Canonical numbers (NG-10 register, 2026-09-04)
- Traffic: 24.5M+ AI Agent transactions a month (floor) — 9.5 every second, 567 AI agents answered every minute. Source of record: https://gsc-radar.ai/
- Footprint: agent infrastructure resident in 18 countries · 50 markets · a human on every order
- CPG Knowledge Graph: 38,350 brands · 15,495 makers · 15,688 retail banners · around two billion datapoints (three registries — brands, makers, retail banners — never summed)

## Who reads my products?
Whichever AI system a buyer uses. The systems that can read your products today are ChatGPT, Claude, Gemini, Copilot, Grok, Perplexity and Mistral — plus any buyer-side agent built on the open machine standards these systems use. Your records answer them out of the box; you do not integrate with each one. None of it runs on your network: nothing to install and no firewalls to open, no AI running on your network, your data ring-fenced and auditable on every request, and a verified identity carried by every agent. — from gsc-em.com/#who-reads

## What changed?
Buyers changed the question, and the catalog changes with it. The question used to be "can a buyer find me?" The question now is "can AI find, understand and engage with my products?" Four words carry the answer. Discoverable: found by buyer-side AI in every target market. Understandable: read as structured facts, not marketing copy. Actionable: compared, quoted and made orderable by machines. Human-controlled: a person reviews and signs every order. GSC turns a brand's product information into a managed, machine-readable presence for the markets where the brand wants to grow. — from gsc-em.com/#what-changed

## Where does AI help the buyer most?
Not when the buyer already knows who to call — before that. When the need is known, the buyer already knows the brand and the item: "ship me 5,000 cases." The discovery work is different: find new brands, compare products, check data, confirm fit, request information. This is where AI does the repetitive work. The human decision stays human: people still make the commercial call on range, price and terms. AI expands what a buyer can see; it does not decide. The brand opportunity is to be found and understood during the discovery work — including in markets where the buyer does not know you yet. — from gsc-em.com/#where-ai-helps

## Is this already running?
Yes. GSC is not starting from zero for your brand. The infrastructure is live today: 24.5M+ AI Agent transactions a month, agent infrastructure resident in 18 countries, and a human on every order. Your products join traffic that already exists — orders that start with an AI, not a search box — not a system waiting to be switched on. The live numbers are published on GSC Radar: https://gsc-radar.ai/ — from gsc-em.com/#already-running

## What do you actually do with my catalog?
A managed service — not a technology project for your team. The promise is simple: give us the products you want to grow and the markets you want to enter, and we make them ready for AI-driven B2B discovery. One: organize your catalog. GSC takes SKUs, GTINs, specs, case packs and market data and turns them into clean product records. Two: make it AI-ready. Records become structured and machine-readable, so AI systems identify and work with your products reliably. Three: place it where you want to grow. Product presence aligned to target markets — domestic, regional or global. Four: route opportunities to people. AI surfaces and initiates opportunities; humans review, approve and execute the commercial decisions. You focus on your products and growth. GSC manages the AI infrastructure behind it. — from gsc-em.com/#what-we-do

### What does orderable mean?
A product is orderable when it is identified · eligible for banner and country · complete enough to recommend and buy · present where demand lives · and a human signs. — from gsc-em.com/#what-we-do

## How do my products get ready?
The work happens once, on GSC's side, before anything goes live. Already built: the agents exist before you arrive, and your catalog is not a software build. Loaded: your full catalog is loaded at onboarding, one agent for each product. Tuned: records are adjusted to how buyers in your category actually ask. Live: deployed into existing traffic, typically in under 30 days, with nothing to install and no AI on your network. Behind it sits the CPG Knowledge Graph — around two billion beauty and personal care product datapoints, one classification standard so every product is described the same way, and compliance information carried with the record. Your team sends the catalog. Everything after that is GSC's work. — from gsc-em.com/#get-ready

## Where does my brand show up?
Aisle · cart · assistant. The same prepared product record serves every place a buyer looks. The store shelf: hypermarket, national grocery and convenience buyers — lightweight and standardized, fitting retailer procurement systems rather than replacing them, with product identity, security and efficient machine access. Online marketplaces: digital commerce operators — more transaction and audit capability, stronger operator-facing controls, products machine-orderable and auditable. The retailer's AI assistant: the system buyers now ask first. One product intelligence layer underneath all three. Prepare the product once; be present on all three from day one. The AI Brands program: https://gsc-agentic.ai/ — from gsc-em.com/#show-up

## Can I follow my own growth plan?
Yes — home market, new country, online marketplaces, store shelf — the strategy matches the business objective. An Italian beauty brand wants U.S. growth: deploy product presence toward U.S. buyer-side discovery. A Korean skincare brand wants UK and U.S. expansion: split the portfolio by target market. A Brazilian brand wants regional and EU testing: start focused, then reallocate as priorities change. Why brands care: AI discovery in target markets, faster market testing, data and access controls, and flexibility as strategy changes. You already put people in the markets where you want to grow. Now think about where your products need to show up for AI. — from gsc-em.com/#growth-plan

## Where does it run?
In 18 regions across the Americas, the EU and UK, the Middle East and Asia-Pacific — agent infrastructure resident in 18 countries, plus Madrid. Agents are resident in-region, so a buyer's system is answered from close by. Nearest cluster: a buyer's request is answered from infrastructure near it, not from one central location. Faster and lighter: less distance and less unnecessary processing on every machine-to-machine request — speed for customers, lower compute for buyers. Control by market: align your presence with commercial priorities, data needs and distribution agreements as they change. Put the infrastructure near the buyer, not near your head office. — from gsc-em.com/#where-it-runs

## What is the cost of not having AI Agents?
The cost of not having AI Agents is what happens if a brand waits: brands don't die overnight, they stop being selectable. One: you disappear from agent shopping — ChatGPT, Gemini and retailer apps need a feed (SKU, GTIN, price, stock, attributes); a PDF is not a feed, so agents skip you. Two: retailers quietly punish you — their PIM and SAP do not ingest a brochure; late listings, missing shades, wrong claims, and you lose the digital shelf while still on the physical one. Three: AI overviews cite someone else — no structured product data, no GTIN, no ingredient structure; you are hard to extract, and the recommendation lives on the competitor's page. Four: internal ops rot — finance can't match SKU to invoice, planners can't forecast by shade, regulatory can't prove the file matches what's sold; operational debt. Five: you become a wholesale-only relationship brand — you keep the buyer who knows you and lose agentic baskets, retail media and routine builders, a shrinking channel mix. In two or three planning cycles: fewer ranging wins, worse online-marketplace rank, zero presence in agent shopping, and a higher cost to serve every new door, because every partner re-keys your PDF. — from gsc-em.com/#cost-of-waiting

## How do I start?
A simple way to start with GSC: pick a portfolio, pick the markets, measure what happens. Pilot portfolio: start with a clear group of SKUs — hero items, innovation, or products ready for export. Target markets: choose where growth matters most — U.S., UK, Europe, LATAM, Asia-Pacific or your domestic market. Success measures: track AI discovery, inquiries, RFQs, qualified opportunities, new accounts and incremental volume. Next step: choose the SKUs and markets you want to grow. Ask elyssah: https://gsc-em.com/ask · Talk to a human: https://gsc-em.com/#contact — from gsc-em.com/#how-to-start

## Surfaces
- Home: https://gsc-em.com · Ask elyssah: https://gsc-em.com/ask · Sitemap: https://gsc-em.com/sitemap · Agent setup: https://gsc-em.com/agent-setup/
- AI Brands: https://gsc-agentic.ai · Investor: https://gsc-investor.ai · Case study (elyssah carrying a real brand): https://elyssah.ai · Radar (source of record for the numbers): https://gsc-radar.ai
- Classification standard: ACM-SPARKS — https://acm-sparks.ai · Protocol: https://acm-68000.org · Jurisdiction: https://sm-eco-10060.org · Rules: https://standard-10060.org
- Trust anchor: https://dpuone.ai · Resolver: https://gsc-registry.ai · Human-in-the-Loop / Trading Desk: https://gsc-navigator.ai · Form ingress: https://x-gsi.ai/ingest
- CPG Knowledge Graph over MCP: https://mcp.cpgknowledgegraph.ai/mcp (streamable-http; server card https://gsc-em.com/.well-known/mcp/server-card.json)

## This site — machine files
- /index.md · /llms.txt (the same document) · /agents.json · /catalog.json · /ai-plugin.json · /health.json · /auth.md · /webmcp.js
- /.well-known/agent-card.json · /.well-known/ai-catalog.json · /.well-known/api-catalog · /.well-known/mcp/server-card.json · /.well-known/agent-skills/index.json
- Enterprise collaborations: https://gsc-foundry.com · machine catalog: https://gsc-foundry.com/catalog.json

## Contact
- https://gsc-em.com/#contact (a human answers) · https://gsc-navigator.ai/ (Human-in-the-Loop) · Social: @GSC_Rail_ai

## Registered offices
GreenCore Solutions Corp. — 4611 Viking Way, Suite #260, Richmond BC V6V 2K9 Canada
GSC Agentic Pty Ltd — Level 1, 63-73 Ann Street, Surry Hills NSW 2010, Australia