Answer every question a shopper asks your site.
Your search, filters, and shopping assistant can only answer with the attributes they have. We derive the missing ones, built to your taxonomy. Every value shows where it came from.
One product, fully attributed.
This is AttrIQ Commerce: a handful of scattered inputs become a complete, structured set of attributes, built to your taxonomy.
Some values were stated, in the listing, spec sheet, or label. The rest were never written down, so we derived them. Every value shows its source.
Better attributes, on the surfaces shoppers actually touch.
Products surface for the specific things shoppers type.
Refinements work because the attributes behind them are complete.
Fewer zero-result searches across the long tail.
Shoppers buy the right thing when fit, material, and detail are on the page.
Richer signal for the modules that cross-sell.
Works with the search and merchandising stack you already run. Nothing gets replaced.
From scattered content to attributes you can use.
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01
Extract
We pull what's already there, from the pack, label, images, and text.
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02
Map to your taxonomy
Every attribute fitted to your categories and attribute names.
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03
Derive with evidence
Attributes printed nowhere, each backed by where it came from.
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04
Export
Structured attributes delivered into your PIM and the systems that read from it.
Built to hold accuracy at scale.
We hold a catalog to 95% and verify it against your own ground truth, not our estimate of it. Tata 1mg runs on 40,000+ SKUs at that standard, where composition, dosage, and claims all have to be exact. Every value stays checkable, with its source attached.
Grade your own catalog first.
We take 100 of your SKUs and mark every attribute present, trapped, or absent, against your own taxonomy. You see what's missing before anything changes.
Questions
Isn't this just running a model over our catalog?+
A model fills the fields and sounds sure doing it. Some of what it returns reads right and is wrong, and it's worst on the attributes shoppers actually search on. Plausible isn't accurate. Holding a full catalog to 95% is the part a model doesn't do on its own.
Could our team do this in-house?+
You can. It's the long tail and the upkeep that make it expensive: the hardest attributes are on the products that sell least, and accuracy decays every time the catalog changes. In-house, that's a permanent headcount line, not a one-time project.
How do we know it'll hold on our catalog?+
Start with the 100-SKU grade. You see present, trapped, and absent on your own products, against your own taxonomy, before committing to anything.
Do you replace our PIM or search engine?+
No, we integrate with them. Your PIM keeps the record. We supply the attribution that fills it, and your existing tools read it the way they do today.
How is this different from enrichment we've bought before?+
Most enrichment fills the fields and stops. It can't tell you which values are correct, or where they came from. We hold accuracy to 95% against your own ground truth, every value carries its source, and it's built to your taxonomy, not standardized to ours.
How fast?+
Live in weeks.