Which Classification Standard Do You Need: ETIM, UNSPSC, or eClass?
Choosing the wrong classification standard means re-classifying thousands of SKUs. Compare ETIM, UNSPSC, and eClass by buyer mandate, geography, and attribute depth.
Every distributor catalog team has been in the same meeting: one customer wants ETIM, another sends a purchase order template that requires UNSPSC codes, and a third European manufacturer portal will not accept your feed without eClass. The question of which classification standard you actually need is rarely about which taxonomy is technically superior. It is about who you sell to, where they operate, and what they do with the data downstream. Pick the wrong anchor and you will re-classify tens of thousands of SKUs when the next large account demands something different. Pick deliberately and one well-maintained internal taxonomy can serve most of your channels.
Claro is built for exactly this problem. Rather than letting each customer mandate drive a separate classification effort, Claro resolves product identity, enriches missing attributes, validates class assignments, and writes clean classified records back into your PIM or ERP — so you classify once and map outward to every channel from a single trusted source.
What each standard is actually built for
The three dominant standards were designed for different jobs, and that design intent is the fastest way to decide which classification standard belongs at the center of your catalog.
| Standard | Built for | Attribute depth | Where it falls short |
|---|---|---|---|
| ETIM | Technical product attributes in trade and industrial wholesale | Rich, structured feature sets per product class (voltage, thread, material) | Coverage concentrated in electrical, HVAC, and MRO verticals |
| UNSPSC | Spend analysis and procurement reporting | Classification-only; no attribute model | Thin for faceted search or product comparison; not useful for syndication |
| eClass | Engineering and process industries, especially DACH manufacturing | Deepest attribute model; properties identified by IRDI | Heavier to implement; strong in German-language markets, less common in Anglo markets |
ETIM and eClass both describe features — voltage rating, thread size, material, IP class — which makes them useful for faceted search, product comparison pages, and B2B syndication portals. UNSPSC answers ‘what category of spend is this?’ which is why procurement and ERP systems love it but ecommerce and search teams find it thin. A furniture distributor selling to corporate procurement may only ever need UNSPSC. An industrial supplier feeding a wholesaler portal almost certainly needs ETIM.
Before and after: unmanaged classification vs. a canonical model
The gap between reacting to every customer request and holding a clean internal classification layer is measurable in both team hours and data quality.
| Without a classification strategy | With a canonical classification layer |
|---|---|
| SKUs classified ad hoc per customer request | Products classified once to a primary standard; others derived as exports |
| Re-classification triggered by every new channel | New channel requirements handled as a mapping update, not a re-build |
| Supplier feeds with inconsistent or missing class codes | Claro normalizes and validates class codes at ingestion |
| Rejected feeds because of empty attributes | Attribute population validated against class requirements before export |
| Classification drift as standards update | Version updates managed at the mapping layer, not the product level |
Let your buyers and geography decide
The single biggest factor in which classification standard you need is your customer’s mandate. Standards cluster by region and sales channel.
The three hidden costs teams underestimate
Choosing a standard takes an afternoon. The expensive part is classifying a back catalog you did not build, populating every required attribute, and maintaining accuracy as the catalog grows. Three cost drivers consistently surprise teams that approach this as a one-time project.
- 1Initial classification of legacy SKUsAssigning a class to thousands of inherited or supplier-provided SKUs — often sourced from PDFs, inconsistent data sheets, and unstructured feed columns — is the largest one-time effort. Without structured extraction, human reviewers work through this one record at a time.
- 2Attribute population per classETIM and eClass require you to populate the features defined for each assigned class. An empty class code is nearly useless for faceted search, buyer comparison tools, or syndication validation. The class is only the start; the attributes are what buyers actually query.
- 3Cross-mapping maintenanceEvery additional channel adds a mapping you must keep current. When ETIM releases a new version or a major customer switches portals, unmaintained mappings produce rejected feeds and manual correction work that compounds with catalog size.
This is where a canonical product-data layer changes the economics. Rather than classifying separately for each channel, you classify once into a clean internal model and derive channel-specific codes as outputs. Claro’s classification engine is built around exactly this pattern: assign a class once with confidence scoring and provenance, then map ETIM, UNSPSC, eClass, and marketplace taxonomies as exports. When a standard updates or a customer mandate changes, you update the mapping — not thousands of product records.
A decision shortcut
If you need a single working rule: choose the standard your highest-value channel mandates, hold it as your internal classification anchor, and treat the others as derived exports. An industrial distributor leads with ETIM; a procurement-heavy supplier leads with UNSPSC; a components manufacturer selling into DACH engineering leads with eClass. Then validate every export before you ship it — a classified-but-invalid feed gets rejected the same as an unclassified one.
Related
Comparison
ETIM vs UNSPSC vs eClass
Side-by-side comparison of structure, coverage, and attribute depth across all three standards.
Free Tool
Taxonomy Mapper
Map products across ETIM, UNSPSC, and Google Product Category in one place.
Free Tool
UNSPSC Code Lookup
Find the right UNSPSC code for a product description instantly.
Glossary
What Is ETIM in BMEcat?
How ETIM classes and features travel inside a BMEcat file, and what buyers expect to see.
Playbook
ETIM Classification Workflow
Step-by-step workflow for classifying a distributor catalog to ETIM from a raw supplier feed.
Guide
Classify a Catalog You Did Not Build
How to tackle legacy SKU classification when the original source data is inconsistent.
FAQ
Can I use ETIM and UNSPSC at the same time?
Yes, and most distributors do. They serve different jobs: ETIM carries technical attributes for search and syndication, while UNSPSC supports procurement and spend analysis. The practical approach is to classify once internally into a clean canonical model and map to each standard as an export, rather than classifying the catalog separately for every channel.
Is eClass better than ETIM?
Neither is universally better. eClass has a deeper property model and is strong in DACH manufacturing and process industries, while ETIM is broadly adopted in electrical, HVAC, and building-technology wholesale. The better choice is whichever your priority customers and channels require.
Which classification standard does Google Shopping use?
Google Shopping and Merchant Center use Google Product Category, not ETIM, UNSPSC, or eClass. If you sell through Google or most US marketplaces, treat their native taxonomy as an additional mapping target alongside whatever industrial standard your B2B customers need.
Do I have to fill every attribute for a classification standard?
For attribute-based standards like ETIM and eClass, an assigned class with empty features delivers little value for faceted search or syndication, and many buyer portals reject incomplete records. UNSPSC is classification-only so there are no features to populate, which is part of why it is simpler to adopt but limited in search utility.
What happens when a standard releases a new version?
New releases add, retire, or restructure classes. If your products are mapped to specific classes, you need a process to re-check assignments and update mappings, otherwise you accumulate classification drift. Holding a canonical internal model in a system like Claro makes version upgrades a remapping exercise rather than a full re-classification of your back catalog.
How does Claro help with classification across multiple standards?
Claro classifies products once into a clean internal model and then derives channel-specific codes for ETIM, UNSPSC, eClass, and marketplace taxonomies as outputs, with provenance recorded on every assignment. When a standard releases a new version or a customer changes requirements, you update the mapping layer rather than re-classifying thousands of SKUs from scratch.
Claro
Stop maintaining this by hand
Claro keeps product and supplier data trusted as catalogs change — matching, deduplication, enrichment, and validated write-back into the systems you already run.
Book a demo