What is a PIM for ventilation technology?

A PIM (Product Information Management system) for ventilation technology is a system for maintaining product data that pulls fans, ducts, air handling units and controls from many suppliers into one structure, models the decisive performance values — air volume flow in m³/h, pressure in Pa, sound level in dB(A) — as clean, comparable attributes, enriches them with AI and publishes them to every channel. The point is that the specs that decide the sale are structured and filterable, not buried in PDF datasheets.

Why are air volume flow and pressure so hard to structure?

Because they rarely arrive as clean data. A fan's air volume flow (m³/h), static pressure (Pa) and sound level (dB(A)) sit inside a PDF datasheet — often on a performance curve, not in a single cell — and every manufacturer labels and formats them differently. One sheet says m³/h, the next m³/s; one gives sound power, the next sound pressure at a distance. Getting them into one comparable attribute set is exactly the manual work that doesn't scale.

Does ETIM cover ventilation products well enough?

ETIM helps: it gives ventilation and HVAC products a shared classification with defined technical features, and for standard fans and duct components the coverage is decent. But ETIM classifies and defines features — it does not deliver the filled values, the performance curves, the sales content or the images. And for accessories, controls and smaller niche brands the ETIM data often arrives thin or empty. That gap between the classification and the actual filled datasheet is where the effort lives.

Can Productbay read performance values out of PDF datasheets?

Yes — that's a core part of the enrichment step. AI reads air volume flow, pressure, power consumption and sound level out of manufacturer PDF datasheets, maps them to consistent attributes and units, and flags anything ambiguous for review before it goes live. Combined with a review queue, that turns a pile of inconsistent PDFs into one filterable, comparable performance-value catalog.

How does Productbay handle different units like m³/h versus m³/s?

Through normalization in the attribute layer. During import and enrichment, values are mapped to one canonical unit per attribute, so a supplier delivering m³/s and another delivering m³/h end up comparable in the same column. The same applies to pressure (Pa) and sound level (dB(A)). That normalization is what makes cross-supplier filtering and honest product comparison possible at all.

PIM for Ventilation: Structured Performance Values

In ventilation technology, the sale is won or lost on numbers. A customer choosing a fan is not comparing marketing copy — they are comparing air volume flow at a given static pressure, and how loud the unit gets while it delivers it. If those numbers aren't on your product page, cleanly and comparably, the sale walks to the competitor whose page has them.

Product data for ventilation technology is a performance-value problem: air volume flow (m³/h), static pressure (Pa) and sound level (dB(A)) decide the purchase. That is the whole challenge of this article — those decisive values almost never arrive as clean, structured data. This is a focused slice of the broader plumbing & heating (HVAC) data challenge.

Which performance attributes actually decide the sale?

Ventilation products are defined by a small set of technical values that a buyer genuinely filters and compares on. Get these into clean, comparable attributes and most of the job is done:

Air volume flow (m³/h): the headline figure — how much air the unit moves. Often given at multiple operating points, not one number.
Static pressure (Pa): what the fan can push against duct resistance. Air flow without a pressure reference is close to meaningless for a real installation.
Sound level (dB(A)): frequently the deciding factor for residential and office ventilation — and reported inconsistently as sound power versus sound pressure at a distance.
Power consumption and efficiency: wattage, specific fan power, ErP relevance — increasingly a compliance and selling point.
Dimensions, connection size and control: duct diameter, mounting, and whether the unit is controllable or fixed-speed.

The problem isn't knowing which attributes matter — every ventilation retailer knows. The problem is that these values arrive in a dozen formats, units and layouts, and turning them into one comparable set is manual work that doesn't scale.

Which standard helps — ETIM — and where does it stop?

Ventilation and HVAC do have a connecting classification: ETIM, the standard used across electrical and building-services wholesale, with defined product classes and technical features for fans, ducts and air handling. For standard products, ETIM gives the industry a shared language — a fan is classified, its feature list is defined, and units are specified. That's real value. But it's important to be honest about where the classification ends and the datasheet begins:

Data layer	What ETIM delivers	Where it stops
Classification	Product class + defined feature list per class	Doesn't fill the values — just the empty structure
Performance values	Defines the attribute (m³/h, Pa, dB(A))	Actual figures still sit in the PDF datasheet / curve
Accessories & controls	Partial class coverage	Often thin or empty for niche parts
Sales content	Not the job of a classification	Descriptions, benefit copy, SEO text absent
Images & curves	Out of scope	Performance curves and photos come separately

In short: ETIM gives you a clean skeleton for standard ventilation products — the classes and the attribute definitions. What it doesn't give you is the filled values, the performance curves, the sales content, or much for accessories and smaller brands. And the filled values are exactly what the customer is comparing.

How does Productbay structure ventilation data?

The throughline is turning inconsistent PDF datasheets into one clean, filterable performance-value catalog — and that's what Productbay is built for:

Consolidate: import every source once — supplier CSV, Excel, ETIM/BMEcat feed, FTP, API — and match by supplier number or EAN/GTIN so existing products update and new ones are created.
Read the datasheets: AI reads air volume flow, pressure, power and sound level out of PDF datasheets and maps them to consistent attributes — the values that were trapped in a curve become filterable data.
Normalize into attribute groups: one canonical unit per attribute (m³/h, Pa, dB(A)), so a supplier delivering m³/s and one delivering m³/h land comparable in the same column. Performance, acoustic and electrical values sit in clean, grouped attributes.
Enrich & publish: AI writes descriptions, fills gaps from whitelisted sources and translates via DeepL — always with a review queue — then syncs to Shopify and Shopware and exports feeds for the marketplaces.

Crucially, Productbay starts where ETIM ends: it takes the classified skeleton and fills it with the real, normalized performance values from the datasheets, plus the sales content no standard provides. Built for specialist retailers running multi-supplier, multi-channel catalogs. For the full picture across sanitary, heating and climate, see the plumbing & heating overview.

Product Data for Ventilation Technology: Performance Values, Structured

Which performance attributes actually decide the sale?

Which standard helps — ETIM — and where does it stop?

How does Productbay structure ventilation data?

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