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EETech Commerce

Forty attributes per part. One place to filter them.

SEMICONDUCTORS, PASSIVES & CONNECTORS

Forty Attributes per Part. One Place to Filter Them.

What makes a catalog hard is how many specs each part has, more than how many SKUs you carry. An eight-thousand-part connector range with forty parameters each is a harder and more valuable problem than a two-hundred-thousand-part catalog that sells without a spec table.

Native PIM at Large catalogs, with missing data filled in automatically, scaling to millions.

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A silicon wafer disc and various electronic components, including an integrated circuit chip, connectors, and capacitors, are lined up on a dark blue background.
THE QUALIFIER

Density Beats Volume

The question we ask first is not how many SKUs you have. It is how many attributes a buyer needs to compare before they can choose. When that number is above about fifteen, category menus stop working and a table of specs becomes the main way buyers choose, and at that point the platform either handles product specs properly or it does not.

This is also why generic ecommerce benchmarks mislead in this vertical. Conversion rate on a catalog where the buyer is specifying rather than shopping behaves differently, and optimising it like a retail funnel produces changes that make the specification job harder.

WHAT DENSITY DEMANDS

What an Attribute-Dense Catalog Needs That a Normal One Doesn't

These are the requirements that only appear once a buyer has to compare on more than a handful of parameters.

Different Spec Fields for Each Product Family

MOSFETs and connectors do not share a filter set. Forcing one set of spec fields on every product produces a filter panel nobody uses.

Side-By-Side Comparison as a Main View

Twelve candidates in a table, columns the buyer chooses, differences highlighted.

Range and Tolerance Filtering

Not fixed preset ranges. A buyer asking for 10k ±1% has specified a value and a constraint.

Calculated Specs

Values worked out from other specs, such as figure of merit or power density, and filterable like any other spec.

Cross-Reference

Competitor part to your equivalent, with the attribute differences shown rather than implied.

Datasheet Values You Can Search and Filter

The values in the PDF, stored with each product and filterable. Not a link to a document the buyer has to read.

Where to Look Next

Open AI / Findability
AI / Findability

AI / Findability

Product specs laid out so engineers and AI assistants can both read them.

Six Capabilities. Scored on Your Actual Site.

Present, Partial or Missing, each rating followed by the specific observation behind it. Five business days, and there is no call first.

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