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One product record.
Zero guesswork.

One product record. Zero guesswork.

PIM is the core of NEXERA. Every SKU, variant, attribute, price and translation lives in one structured record with eleven tabs, not eleven tools. Completeness scoring tells you exactly what each channel still needs. The audit trail remembers who changed what, and lets you roll it back.

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12,128 products Saved · just now
IMG

Patrol 3-Layer Shell · Black

RH-PTR-003-BLK · EAN 8712345678906

Published
94%
complete
Attributes
BrandRehall
Material3L shell · recycled polyester
Waterproofing20,000 mm
Breathability15,000 g/m²/24h
FitRegular
ENNLDEFR

per-field locales · AI fills the gaps

11

11

tabs on one product detail view

tabs on one product detail view

30+

30+

attribute types, grouped in reusable sets

attribute types, grouped in reusable sets

3

3

locales per field · EN, NL, DE

locales per field · EN, NL, DE

100%

100%

of changes logged, diffed and reversible

of changes logged, diffed and reversible

A spreadsheet is not
a product model.

Rows and columns can't hold a product. Variants explode into duplicated lines, translations live in copies of copies, and nobody knows which file is current. The day a channel rejects your upload, you find out which cells were wrong, one rejection at a time.

NEXERA models products the way commerce actually works: one canonical record, variants as first-class citizens, attributes typed and validated at entry, locales side by side on every field. The channels read from the model. The model is never wrong twice.

Know what's missing before the channel tells you.

Every channel defines its own required fields. NEXERA scores each product against every connected channel in real time: Shopify might be at 100% while Bol.com waits on one delivery code. Filter the catalog by gap, fix in bulk, and watch the bars fill.

Per-channel rules: required fields, formats, image minimums

Catalog-wide gap filters: "show every product missing DE copy"

Push gates: incomplete products simply don't go out

Typed at entry.
Valid by construction.

Thirty-plus attribute types, grouped into reusable sets per category. A jacket asks for waterproofing in millimeters. A lamp asks for lumens. A chair never asks for either. Bad data can't get in, so it never has to come out.

Text · rich text

localized · max-length aware

"Waterproof 3-layer shell for…"

Number + unit

converted per channel

20,000 mm · 42 × 18 cm

Select · multiselect

controlled vocabularies

fit: regular | slim | relaxed

Boolean · date

launch windows · flags

launch: 2026-09-01

Table

size charts · spec grids

S / M / L × chest / waist

Media reference

role-tagged from DAM

HERO · GALLERY · SWATCH

Product reference

relations that stay in sync

spare-part-of: RH-PTR-003

Attribute sets

per category · inherited

Jackets extends Apparel

Pick the axes.
The matrix builds itself.

Define your option axes once (color, size, material) and generate the full variant matrix in one step: SKU patterns applied, EAN slots reserved, prices inherited with per-variant overrides. Add a colorway next season and only the new cells are created.

SKU pattern templates: brand-model-color-size

Variant-level price, stock and barcode overrides

Images inherit by attribute. The olive shot lands on every olive size

Draft to published,
witnessed the whole way.

Products move through an explicit lifecycle: draft, review, published, archived. Role-based gates decide who can promote. Every field change is logged with the author, the timestamp, the before and the after. Published something wrong? Roll it back to any point.

Role-gated transitions: editors draft, managers publish

Field-level diffs on every save

One-click rollback to any prior state

DRAFT
REVIEW
PUBLISHED
ARCHIVED
history · RH-PTR-003
Live
price_eur 129.95 → 119.95 · Sanne
field edit
description_de AI draft accepted · Sanne
enrichment
status review → published · Mark
publish
material rolled back to v.12 · Mark
rollback

Your old spreadsheet,
imported in one afternoon.

Drop a CSV or XLSX, map columns to attributes visually, and run a dry-run preview before anything is written. Coming from Akeneo or a legacy PIM? The mapper handles their exports too. After import, bulk edit thousands of products with find-and-replace and formula rules.

Visual column mapper with saved mapping templates

Dry-run: every error listed before a single row is written

Bulk edit: set, find-and-replace, formulas across a filter

More than a sheet.


Lighter than legacy.

Capability
NEXERA PIM
Spreadsheets
Legacy PIM
Typed, validated attributes
NEXERA PIMAvailable
SpreadsheetsNot available
Legacy PIMAvailable
Per-channel completeness scoring
NEXERA PIMAvailable
SpreadsheetsNot available
Legacy PIMPartially availableadd-on
Variant matrix generation
NEXERA PIMAvailable
SpreadsheetsNot available
Legacy PIMPartially availablelimited
Field-level audit trail + rollback
NEXERA PIMAvailable
SpreadsheetsNot available
Legacy PIMPartially availablelimited
AI enrichment built in
NEXERA PIMAvailable
SpreadsheetsNot available
Legacy PIMPartially availableadd-on
Native DAM in the same model
NEXERA PIMAvailable
SpreadsheetsNot available
Legacy PIMPartially availableseparate
Live in weeks, not quarters
NEXERA PIMAvailable
SpreadsheetsAvailable
Legacy PIMNot available

Spreadsheets are fast until they're wrong. Legacy PIMs are right until the invoice. NEXERA is the structured model without the implementation project.

Bring your current product sheet. We import it live.

In a 30-minute walk-through, we’ll show you how NEXERA fits your catalog, your channels and the way your team works, giving you a clear view of how it can simplify your product data from day one.

Book a demo

Author your product data once. Publish it everywhere, perfectly.

A product of DEED Vision, the studio in Herten.

Author your product data once. Publish it everywhere, perfectly.

A product of DEED Vision, the studio in Herten.

Author your product data once. Publish it everywhere, perfectly.

A product of DEED Vision, the studio in Herten.