PPWR Packaging Data Gap Audit: A SKU-by-SKU Playbook

A PPWR packaging data gap audit turns a broad readiness program into a row-level work queue. Start with the catalog—not a folder of PDFs—and answer for every relevant SKU: Do we have the packaging record, required facts, accepted evidence and a traceable source?

Input: 50,000-SKU catalog

Output: a reviewable gap table grouped by supplier and owner.

Define the output before starting

Use one row per SKU and packaging configuration, with drill-down to components and evidence:

Add reason codes, packaging revision, evidence date, match confidence and review status behind each row. Avoid a single readiness score that hides why the row failed.

Before the audit

Agree on the product range, markets, packaging levels, effective rule version, required facts, accepted evidence and ownership model. Export the authoritative SKU master and retain its snapshot date. Decide which system will receive accepted records after review.

SKU-by-SKU workflow

1. 1
   Import the SKU master
   Load SKU, MPN, GTIN, manufacturer, variant, supplier item codes and product-family relationships. Reject duplicate or unresolved identities before adding packaging claims.
2. 2
   Identify applicable packaging records
   Create or connect primary, secondary and transport packaging configurations where relevant. Record components, revisions and units contained.
3. 3
   Match supplier documents
   Resolve spreadsheets, specifications, declarations, test results and email attachments to the product and exact packaging configuration using all available identifiers.
4. 4
   Extract available evidence
   Capture candidate materials, composition, weights, properties and declaration metadata with page or section references. Preserve every original file.
5. 5
   Normalize values
   Standardize units, decimal formats and controlled terminology while retaining original values and transformation rules.
6. 6
   Validate sources
   Check issuer, document version, date, packaging scope and product match. Send conflicts and low-confidence matches to review.
7. 7
   Flag missing evidence
   Run versioned completeness rules. Assign explicit codes such as MISSING_WEIGHT, NO_PACKAGING_MATCH, STALE_SPEC or DECLARATION_SCOPE_UNCLEAR.
8. 8
   Group gaps by supplier
   Roll SKU exceptions into supplier and product-family summaries so one outreach can resolve many related records.
9. 9
   Create the follow-up queue
   Give every unresolved gap an owner, requested field or document, due date, supplier contact and status.
10. 10
    Write accepted data back
    After review, update PIM, ERP or the compliance system with normalized values, source links, review decision and rule-run history intact.

Matching controls

A document is not useful until its scope is resolved. Combine SKU, MPN, GTIN, supplier code, drawing number, model and document content. Treat these cases as exceptions:

• one document covers a family but does not list variants;
• the packaging specification uses a code absent from ERP;
• the SKU has market-specific packaging configurations;
• supplier and manufacturer records disagree; or
• a declaration refers to an older revision.

Do not propagate a value across siblings merely because their product titles look similar.

Evidence and provenance controls

For each accepted claim retain:

value → unit → packaging component → source document → location → issuer → version → received date → reviewer → status

This chain lets a reviewer reproduce the decision and lets the team find records affected by a new supplier revision. The PPWR product-data requirements guide describes the complete operational model.

Gap reason codes and ownership

Supplier follow-up package

For each supplier, generate a focused request containing affected SKUs, identifiers the supplier recognizes, missing field or document, requested unit or format, current value if disputed, deadline and secure return channel. See How to Collect PPWR Packaging Data From Suppliers for the intake workflow.

Completion criteria

• Every in-scope SKU has a resolved status and packaging configuration or a documented exception.
• Every required fact is present, explicitly not applicable, or assigned as a gap.
• Critical facts link to current, scope-confirmed evidence.
• Low-confidence matches and conflicts have been reviewed.
• Every open gap has an owner and next action.
• Accepted data and provenance have been written to the target system.

Metrics that create action

Report coverage by SKU and packaging configuration, evidence-backed field completion, unresolved document matches, stale evidence, open gaps by supplier, median supplier response time and write-back completion. Keep legal review queues separate from supplier-data queues so each team sees work it can resolve.

Run a PPWR data-gap audit on one product range

Start with one representative range and the supplier files already available. Claro can match documents to SKUs, extract packaging facts, preserve source evidence and produce the supplier follow-up queue without presenting data preparation as legal certification.