Trusted system for shared fit records
The trusted system of record that coordinates customer-owned fit data, permissions, and contributions across multiple brands.
Definition
Shared Ledger is the neutral persistence and permission layer within Size Passport that coordinates customer-owned fit data across multiple operators — tracking access boundaries, contribution provenance, and data governance without brand control.
For the person
It is the reason your record can survive a change of tailor, brand, geography, or channel.
For the ecosystem
This is the most defensible infrastructure layer because it establishes the cross-operator operating model and data governance rules.
Why it matters
Without a trusted neutral record system, portability degrades into one-off exports and the experience collapses back into brand silos.
Separates customer-owned fit data from brand-specific operational systems.
Tracks permissions, provenance, and contribution boundaries by operator.
Keeps the platform brand-neutral and independently deployable.
Related readings
Shared language for fit records
The ledger enforces the boundary conditions that multi-operator interoperability needs.
Data portability for fit
Portable records remain useful because the ledger governs access and continuity.
Body identity layer
The passport concept becomes operational through a durable system of record.
Questions answered clearly
Because the important quality is shared, permissioned record-keeping across operators. The term points to governance and provenance, not to a single brand's private data store.
Its schema, API boundaries, and data ownership rules are designed so that no single brand defines the record structure for everyone else.
Size Passport administers the ledger on behalf of customers. No single brand defines or controls the record structure. The platform's governance model targets a non-profit structure to ensure commercial incentives do not distort data administration.
Governance rules prohibit Size Passport from selling, licensing, or aggregating individual fit records for third-party use. The data model is designed so that value accrues to the individual's record — not to platform-level data aggregation across customers.