One inspectable reference
Channel-neutral entities and fields, published as JSON and YAML.
OPEN / CANADAMODEL v0.1 ALPHA
We already make products worth recommending.
Let’s make sure the machines know it.
The Canadian Commerce Feed Project is an open initiative helping Canadian brands strengthen the product-data foundation behind modern commerce.
CANONICAL PRODUCT / 001OPEN
brand.nameNorth Star Outfitters
product.titleTrail Shell — Red / M
variant.option_values{ colour: red, size: M }
offer.availabilityin_stock
offer.price189.00 CAD
PRODUCTMODELSYSTEMS
01 / OPEN FOUNDATION
You can’t recommend what you don’t understand.
People experience products naturally. Machines need identity, classification, variants, attributes, offers and relationships to be expressed explicitly.
Show the source
Direct facts, derived mappings, emerging signals and unknowns stay distinct.
Use the same open rules
Validate product data without a mystery score or growth promise.
02 / ONE OPEN MODEL
Fragmented requirements, one understandable reference.
Google asks for one representation. Shopify stores another. Marketplaces and emerging AI commerce systems bring their own structures.
The Canonical Commerce Product Model asks what a modern product-data master should be capable of communicating—without pretending every field matters everywhere.
03 / PLATFORM MAPS
See where the systems align—and where they do not.
Compare platforms01GoogleMAPPED
02ShopifyMAPPED
03MetaREVIEW PENDING
04AmazonMAPPED
05OpenAIEMERGING
04 / USE IT
This is deliberately not a black box.
READ
Browse every canonical field.
DOWNLOAD
Take the machine-readable specification.
BUILD
Use the schemas and mappings.
VALIDATE
Run data through the open rules.
CHALLENGE
Show where evidence is incomplete.
CONTRIBUTE
Propose a better answer.
05 / THE INITIATIVE BEGINS AT HOME
Know a Canadian brand more people should discover?
Nomination doesn’t enrol a company in anything. It simply says: we think more people should discover you.
Nominate a Canadian brand06 / A CLEAR BOUNDARY
The feed is the kernel. Not the whole operating system.
Product data does not guarantee rankings, recommendations, or growth. Discovery also depends on content, trust, availability, economics, customer experience and transaction capability. CCFP concentrates on product data because it is foundational, observable and shared across many of those systems.
See exactly how we reached the model Read the hero film script