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Smooshe

Product content enrichment for industrial catalogs

Your catalog is 80% empty.
Smooshe fills it.

You bought the eCommerce platform. You may even have a PIM. What nobody sold you was the content layer between raw ERP specs and copy a specifier will actually buy from. We build that layer — at 10,000 SKUs at a time, without touching a single one of your systems.

No integration. No software installed. No API access requested.

1K–100K+
SKUs per client
30 sec
per enriched SKU
0
systems connected
3–4 wks
pilot to delivery
Valves & actuationFluid powerFastenersBearings & power transmissionElectrical & wireInstrumentationSeals & gasketsAbrasivesSafety equipmentMRO consumablesValves & actuationFluid powerFastenersBearings & power transmissionElectrical & wireInstrumentationSeals & gasketsAbrasivesSafety equipmentMRO consumables

The problem

Content debt compounds faster than a team can pay it down

The arithmetic is the whole pitch. At twenty minutes a SKU, a ten-person team clears about 6,000 records a year. Against a 100,000-SKU catalog, that is a sixteen-year project — and the catalog changes underneath you the entire time.

60–80%

Thin or missing

Share of SKUs in a typical industrial catalog with duplicate, stub, or entirely absent descriptions.

16years

At current pace

Time for a ten-person in-house team to enrich a 100,000-SKU catalog by hand at 20 minutes per record.

$150

Per avoidable call

Cost of an inside-sales inquiry answering a question the product page should have answered.

20%

Long-tail revenue

What the invisible 80% of the catalog actually returns — not because demand is absent, but because buyers cannot evaluate it.

And the usual fixes do not clear it. A PIM stores content, it does not write it. Syndication distributes content, it does not write it. An industrial agency writes beautifully at $150 an hour and delivers fifty SKUs a quarter. Generic AI writers produce fluent marketing copy that an engineer will reject on the first spec error.

Before / after

One row in. One buyable record out.

This is a real shape of ERP export — an item number, an abbreviated description, and a lot of nulls. Here is what comes back.

Before — ERP export row 4 gaps
ITEM_NOBFV-4-316-EPDM
DESCRIPTION4" BFLY VLV 316 EPDM LVR
LONG_DESCnull
CATEGORYVALVES
UOMEA
WEIGHT14.2
SPEC_SHEETnull
META_TITLEnull
APPLICATIONSnull
After — Smooshe record Spec-verified

4 in Wafer Butterfly Valve, 316 SS Body, EPDM Seat, Lever Operated

Bidirectional wafer-style butterfly valve rated to 200 psi with a CF8M stainless body and EPDM resilient seat. The 10-position lever gives repeatable throttling between full open and close, and API 609 face-to-face dimensions let it drop into existing ANSI Class 150 flanged runs without repiping.

Nominal sizeDN100 / 4 in
Body materialASTM A351 CF8M (316 stainless)
Seat materialEPDM
Disc material316 stainless steel
Pressure rating200 psi (13.8 bar) bidirectional
Temperature range−29 °C to 120 °C (−20 °F to 250 °F)
ActuationLever, 10-position notch plate
Face-to-faceAPI 609 wafer

Standards referenced

API 609ASTM A351ASME B16.5ISO 5211

Applications

  • Chilled and condenser water isolation in HVAC plant rooms
  • CIP and process water lines in food and beverage
  • Cooling tower makeup and bypass service
Run this on your own product page

Paste a URL. Watch the transformation. About 30 seconds.

How it works

Air-gapped by design, because procurement says no

Enterprise IT will not grant API access to an outside vendor, and any solution that needs it dies in review. So we built the model that does not ask.

01

You export. Or we crawl.

A CSV or Excel dump from your ERP is enough to start. If pulling an export is itself a six-week IT ticket, we crawl your public site instead and work from what is already published.

CSV · XLSX · PDF cut sheets · public site crawl

02

We enrich on our own infrastructure.

Your data runs through a category-primed multi-agent pipeline on our hardware. Nothing is installed on your side, no credentials change hands, and no connection is opened into your network.

Spec extractor → standards injector → writer → validation guard

03

You get import-ready files back.

Formatted for whatever you actually run — Akeneo, Salsify, Shopify, Magento, WordPress, or plain CSV and JSON. Your team imports on your schedule, reviews before publish, and owns every word.

Akeneo · Salsify · Shopify · Magento · CSV · JSON

Air-gapped means air-gapped. Files in, files out. No VPN, no service account, no read access to your ERP or PIM, no agent running inside your perimeter. The security review for this engagement is a data-handling conversation, not an architecture one.

Why this is not a Jasper prompt

Engineers reject fluent. They accept correct.

Generic AI writers optimise for readable. In industrial B2B a single wrong pressure rating destroys trust in the entire catalog — and potentially creates liability. The quality bar is different, so the machinery has to be.

Domain knowledge graphs

Per-category structured knowledge — materials, compatibility matrices, pressure and temperature envelopes, and the standards that govern them. The model is not recalling valve trivia; it is reading a graph we built for valves.

Multi-agent pipelines

Extraction, standards injection, writing and validation are separate stages with separate jobs. The writer never invents a spec because the writer never sources specs — it only renders what extraction confirmed.

Validation guardrails

A hard block list kills "premium", "high quality", "industry leading" and every other adjective with no measurable referent. Unsupported claims are flagged as gaps for your SME rather than smoothed over.

Your SMEs close the loop

Corrections from your engineers do not vanish into an email thread. They go into a category feedback corpus that shapes every subsequent batch, so the tenth thousand SKUs are measurably better than the first. That accumulated judgement is the asset — and it stays attached to your catalog.

Deliverables

Ten output formats from one enriched record

Enrichment happens once. The structured result then renders into whatever each channel and each buyer persona needs.

Product descriptions

Persona-specific, spec-anchored

Spec sheets

Normalised attributes, correct units

SEO metadata

Titles, descriptions, structured data

PDF data sheets

Print-ready, brand-templated

IOM guides

Install, operate, maintain

Battle cards

Competitive positioning per SKU

RFQ templates

Response-ready technical answers

Catalog copy

Category and family-level narrative

Sell sheets

Distributor-facing one-pagers

Cross-sell matrices

Compatibility and accessory logic

Engagements

Start with a free audit. Scale when the quality convinces you.

Nobody signs a six-figure catalog project on a sales deck. Every engagement starts with your own SKUs and a deliverable you can hand to an engineer.

Catalog Diagnostic

Free

one-off · 1 week

We sample 100–500 SKUs from your catalog and hand back a gap heat map showing exactly where the content debt sits.

Details
Most common start

Pilot

$15K – $25K

per engagement · 3–4 weeks

One category, end to end. Proves the quality bar with your own SKUs before you commit to the full catalog.

Details

Scale

$75K – $150K

per engagement · 6–10 weeks

The long tail, cleared. Full catalog enrichment plus syndication-ready output for your distributor channels.

Details

Ongoing

$8K – $15K

per month · retainer

Keeps the catalog from decaying again. New SKUs onboarded as they launch, existing content refreshed on a cycle.

Details

Free, one week, no commitment

See exactly where your catalog is bleeding

Send us a sample of 100 to 500 SKUs — or just your website. You get back a gap heat map showing which categories are thin, which are duplicated, which are empty, and what that is plausibly costing you on the long tail.