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Your products exist.
Can your buyers find them?

I make it easy for buyers to find what they need in your digital channels, and help you design and build the product-data infrastructure and governance that keeps it that way.

A few hundred near-identical results, and they can't tell which fits.
They search in their own words; the site only answers part numbers.
They reach the product, but the spec that decides the fit isn't there.
Reps answer “which one do I actually need?” all day.
New SKUs go live dark, and never sell.
Returns that trace straight back to the listing.
Your product dataONE ROOT CAUSE

It looks like a search problem. It isn't. A product a buyer can't find is revenue you've already paid to source and stock, sitting unsold.

You don't need another tool. You need an expert.

Your data

The catalog itself

A close read of the product records: complete, consistent, findable, or not.

Your buyers

How people actually search

The real queries, filters, and drop-offs, where buyers give up and leave.

Your team

Where the work breaks

How products move from supplier feed to live listing, and where quality drops out.

The market

The bar buyers expect

How leaders and marketplaces present the same categories, the standard you're held to.

When four independent lines point to the same cause, it stops being an opinion. It's a finding.

The finding becomes a roadmap that pays for itself.

One decision package, costed and sequenced, ready to take to whoever funds the work.

Illustrative · a representative broad-line distributor

CRITICALFinding 03Buyers can't filter the top category by the specs that decide the purchase
  • ~50% of SKUs miss the spec
  • most-used, most-abandoned filter
  • no publish gate requires it
  • every competitor filters on it
1–3%of revenue / yr · med. confidence
Now0–90 days
  • Set spec standardsDefine the must-have attributes for the top categories.recovers the most, fastest
  • Block bad publishesStop products going live without critical specs.prevents new gaps
Next3–6 months
  • Redesign onboardingRequire key specs before a supplier's products go in.stops the source
  • Backfill the top categoriesEnrich existing products to the new standard.unlocks the catalog
Later6–12 months
  • Govern & monitorTrack data quality against revenue, continuously.no backsliding
  • Get AI-readyStructured data so AI buying agents can see your products.future demand

Delivered as one package, executive brief · root-cause map · revenue exposure · action roadmap. Your numbers are measured specifically; the figures shown are an illustrative planning range, drawn from McKinsey's finding that standardizing product data lifts online sales 5–10%.

Two decades making giant catalogs findable.

This isn't a framework off a shelf. I've spent twenty years leading the teams that make some of the largest industrial catalogs in the world findable.

Matt Deming, founder of Plait & Pattern.
Matt Deming
Founder & principal consultant
  • 4.5 YEARSMcMaster-CarrInformation Architect & Product Manager. Led the faceted-navigation redesign of the three largest categories, up to 15% sales growth.
  • 7 YEARSZoro / W.W. GraingerHead of Product on a $1B+ platform serving millions of buyers, through catalog growth from 1.5M to 14M SKUs and $500M to $1B+ revenue.

Independent, on purpose. I don't sell or resell technology, so no vendor steers the findings. I diagnose independently, then design and build the fix with your team and any partners you choose.

Find out what discovery is costing you.

Start with a conversation about what you're seeing. If the diagnostic is the right next step, I'll tell you. If it isn't, I'll tell you that too.

Start a conversation →
Matt Demingmatt@plaitandpattern.complaitandpattern.com