01 / WHY IT MATTERS

People understand products by looking. Systems need the facts stated.

A person can infer what a product is, how two options relate and whether it suits them. A commerce system needs those relationships made explicit before it can reliably use them.

01

SEE

A person recognizes an object, its purpose and its differences.

02

STATE

Product data names identity, attributes, relationships and offers.

03

USE

A system can then interpret the facts within its own rules and limits.

ONE INVENTED PRODUCT / THREE LEVELS

The same jacket can be described at the wrong grain.

PRODUCT FAMILYTrail shell
PRODUCTWater-resistant outdoor jacket
VARIANTRed / medium
OFFER189.00 CAD · Canada · in stock

WHAT WE KNOW MATTERS

Blank, unknown, inapplicable and private are not the same thing.

KNOWN

A value is supported and can be stated.

UNKNOWN

The fact is not known yet.

NOT APPLICABLE

The field does not describe this product.

WITHHELD

A value exists but is intentionally not shared.

WHY NOW

Changing trade conditions make product understanding more—not less—important.

Apparel, furniture, appliances, dairy, steel, aluminum, pulp and paper, plastics and electronics are among the sectors named in current Canadian tariff measures. CCFP does not track tariffs or predict outcomes. We use invented products from these trade-exposed categories to make the data problem concrete.

Government of Canada: current tariff response

THE BOUNDARY

Structured data helps systems understand. It cannot make them choose.

Platforms still apply their own policies, eligibility rules, ranking systems and commercial logic. A complete product record can reduce ambiguity; it does not guarantee inclusion, visibility, recommendation or growth.

See the canonical model