Complete Product Record Fields: All 58 You Need to Stay Sellable

You onboard a supplier range, push it live, and within a week the complaints start: search returns nothing, the marketplace rejects half the SKUs, and a buyer calls because the box that arrived was the wrong size. The catalog “exists,” but it is not complete. Nobody agrees on what complete means: sales wants a description, the marketplace wants a GTIN and a category code, logistics wants packaging dimensions, compliance wants a hazard flag. The set of complete product record fields that actually keeps a SKU sellable is larger and more specific than most teams expect, and the gaps are invisible until something breaks downstream.

Claro is built for exactly this problem. It resolves product identity across mismatched supplier feeds, extracts missing attribute values from datasheets and spec sheets with a traceable source link on every value, validates records against per-channel completeness rules, and writes clean records back into your existing PIM or ERP — so your catalog stays trusted as supplier data changes, not just at initial onboarding.

This guide breaks a sellable record into the roughly 58 fields that recur across MRO, CPG, furniture, and industrial distribution, grouped so you can audit your own catalog against them and know exactly where to start the enrichment work.

What “complete” actually means across channels

Completeness is not one bar. A record that is complete for your ERP can be rejected by a marketplace and ignored by an AI shopping agent, because each consumer reads different fields. A furniture distributor can ship on weight and dimensions alone; a CPG seller is blocked without a valid GTIN; an industrial supplier is useless without IP rating and material. “Complete” means complete for every channel this SKU will ever touch, not complete for the system you happened to load it into first.

Before and after: messy vs trusted records

This is what the gap looks like in practice. The left column is what arrives from a typical supplier feed. The right column is what leaves Claro’s enrichment layer.

The 58 fields, grouped into six layers

Think of a record as six stacked layers. The counts below are a working baseline that covers most distribution catalogs; your category may need a few more.

The technical and compliance layers are where distributor catalogs collapse. A bearing without a bore diameter, a cable without a conductor cross-section, a chemical without a CAS number, or a luminaire without a photometric file is technically “in the system” and functionally unsellable. These are also the fields suppliers most often omit, which is why enrichment — not manual data entry — is the real workload. Claro’s enrichment layer pulls these values from datasheets and spec sheets, attaches a source link to every extracted value, and flags the ones it cannot verify for human review.

Where records quietly fail audit

Most incomplete records pass a casual glance because the important-looking fields — name, price, image — are filled. The failures hide in fields only one downstream system reads. Run your catalog against this checklist before you call a record done.

• Identity is unique and valid: GTIN check digit passes, MPN is normalized, no duplicate SKUs collide.
• Classification exists in every taxonomy a channel demands, not just your internal one.
• Units are explicit: every dimension and weight carries a UOM, not a bare number.
• Packaging differs from product: case dimensions and pack quantity are separate from the unit’s own specs.
• Compliance flags are populated where the category requires them (RoHS, REACH/SVHC, country of origin, hazard class).
• Every enriched value has a source, so a reviewer can trace where it came from.

That last item matters more than any single field. A record with 58 filled cells and no provenance is just confident guessing. When an AI agent or a buyer questions a spec, you need to point to the datasheet it came from. Claro keeps a source link on every enriched value — completeness and traceability move together instead of trading off.

A practical sequence to get to complete

You do not fill 58 fields at once. Work the layers in dependency order so each step unblocks the next.

1. 1
   Lock identity first
   Resolve SKU, MPN, and GTIN across every supplier feed. Without clean identity, everything you enrich later may attach to the wrong record. Claro resolves identity even when no shared identifier exists, using probabilistic matching on names, attributes, and specs.
2. 2
   Classify into every required taxonomy
   Map each SKU to UNSPSC, ETIM/eCl@ss, and any channel category before enriching specs — classification drives which attributes are even relevant for that product type.
3. 3
   Enrich specs from source documents
   Pull dimensions, materials, and ratings from datasheets and PDFs. Claro extracts values and attaches a source link per field so every filled cell is traceable and reviewable.
4. 4
   Complete logistics and compliance
   Add packaging dimensions, country of origin, and the compliance flags your category and destination markets require. These are the fields that block customs clearance and marketplace listing.
5. 5
   Validate before publish
   Score completeness per channel and fix the gaps that block listing — not just the empty cells. Claro validates against channel-specific rules and writes corrected records back into your PIM or ERP.

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