Category guide
Product information management (PIM) is the practice — and the category of software — for keeping one structured, authoritative version of every product record. A PIM platform collects product data from suppliers, ERPs, and spreadsheets, stores it in consistent fields, lets teams enrich and translate it, and then supplies it to the channels where products are sold. Tabgrid is a PIM platform in this category.
Most catalogs begin in spreadsheets. That works until the assortment grows, more people edit it, more languages are added, and more channels need slightly different data. The usual symptoms are familiar:
A PIM addresses these by making the product record itself the shared source of truth, instead of whichever export happened most recently.
PIM products differ more than their marketing suggests. These are the criteria worth testing with your own catalog before committing, regardless of which vendors you shortlist.
CRITERION 01
Check how the platform behaves at your real product count, and whether category hierarchies, attribute groups, and product families can express how your assortment actually varies.
Ask the vendor: How does the workspace behave at our catalog size, and how are family-specific attributes modelled?
CRITERION 02
Supplier data rarely matches your schema. Look for a preview of the source file, explicit column-to-field mapping, and mapping profiles that can be reused for recurring deliveries.
Ask the vendor: Can we save a mapping profile per supplier and rerun it when the next file arrives?
CRITERION 03
The practical value of a PIM is knowing what is missing. Check whether completeness rules are configurable and whether the catalog shows outstanding criteria rather than a single opaque score.
Ask the vendor: Which rules decide that a product is publication-ready, and can we change them?
CRITERION 04
If you sell in several languages, confirm that language-specific content is a first-class field rather than a duplicated product, and check what assisted translation is available.
Ask the vendor: How is per-language content stored, and what happens when the source language changes?
CRITERION 05
Catalog work happens in batches. Test editing many products at once and confirm that assisted or AI-driven changes have a preview and confirmation step before they are written.
Ask the vendor: Can we review generated changes before they are applied to the catalog?
CRITERION 06
Verify the specific systems you use, not the logo wall. Ask which connectors are configured versus custom work, and how long-running jobs are monitored.
Ask the vendor: Is our store, ERP, or marketplace a configured integration or an implementation project?
CRITERION 07
Multiple editors need scoped access and a clear workflow status so that unreviewed content cannot reach a channel by accident.
Ask the vendor: How are roles scoped, and what approval stages can be enforced before publication?
CRITERION 08
Compare whether pricing follows catalog size, seats, or channels, since that decides how cost grows for you. For sensitive or very large catalogs, ask about dedicated or isolated instances.
Ask the vendor: What drives the price as we grow, and is an isolated instance available?
CRITERION 09
AI in a PIM is only useful if it operates on structured fields and can be reviewed. Check whether AI-assisted work is planned against the catalog model, whether generated values are validated against attribute definitions, and whether a person confirms changes before they are written. Ask how the platform exposes catalog actions to a model — for example through a Model Context Protocol (MCP) tool interface with a closed action set rather than open-ended database access.
Ask the vendor: What exactly can the model change, what is validated, and who confirms it before it reaches the catalog?
Tabgrid is an AI-native, web-based PIM platform operated by Kuna Tehnologije, used at app.tabgrid.io. It covers structured product records with categories, attribute definitions and families, spreadsheet and supplier imports with reusable field mapping, bulk and AI-assisted enrichment with a preview and confirmation step, language-specific content, completeness and publication-readiness review, and configured integrations and output feeds.
Plans are grouped by catalog size rather than by seat count: Free for 0–1,000 products, Starter for 1,001–20,000, Scale for 20,001–100,000, and Enterprise for 100,001 or more on an isolated instance. Specific integrations, assisted translation, and approval stages depend on how a workspace is configured.
Bring a sample of your real product data. Seeing your own attributes, languages, and supplier files in a workspace answers more questions than a feature list does.
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