Wholesale · Documentation & quality

New items with complete attributes, without retyping data sheets.

Product data from data sheets, BMEcat and price lists is pre-filled by the AI into the PIM by ETIM class, with source. Product management approves.

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Item 204-1180Ball valve DN 25
  1. Max. temperatureData sheet 120 °C, catalogue 110 °Cconflict
  2. Nominal pressurePN 40data sheet p. 2
  3. Required attributes14 of 16 filledETIM
Data sheetKH 25-PN40

Technical data

Nominal size DN 25, connection Rp 1taken

Operating temperature up to 120 °Ccheck

Suitable for drinking water, heating and compressed air.

Where time goes today.

  1. 5,640

    product classes in the ETIM standard

    That is how many classes ETIM 10 has, each with its own attributes. Classifying items properly so customers can filter in the shop takes expertise and time.

    ETIM Deutschland, ETIM 10.0 released (German)

  2. Manufacturer data comes in every shape

    One manufacturer sends BMEcat, the next a PDF data sheet, the third a spreadsheet without units. It is transferred by hand, attribute by attribute.

  3. Gaps cost sales and calls

    If an attribute is missing, the customer does not find the item in the shop or calls. If a wrong value is in there, the goods come back.

One case, step by step.

Manufacturer dataProduct management
  • Kessler ArmaturenMonNew for 2027, 48 itemsPDF data sheets and price listPDF
  • Rohrwerk SauerlandTueCatalogue updateBMEcat 2005, 1,212 itemsBMEcat
  • Lumatec LeuchtenWedAutumn range listExcel without unitsExcel

Manufacturer data arrives the way manufacturers send it.

BMEcat, Excel, PDF data sheets or links to the manufacturer portal. The AI recognises which items are new and which have changed.

Your team decides

Which manufacturers and ranges are handled first.

Data sheet KH 25-PN40Page 2 of 4

Technical data

Nominal size DN 25, connection Rp 1 female threadcaptured

Body and ball made of nickel-plated brass.

Nominal pressure PN 40captured

Operating temperature -20 to 120 °Cconflict

Suitable for drinking water, heating and compressed air.

The AI reads the data sheet like an expert.

Technical values, units, standards and applications, also from tables and footnotes. Every value keeps its source.

Your team decides

Which source wins when manufacturer and catalogue disagree.

Attributes item 204-1180ETIM class ball valve
  1. Nominal sizeDN 25data sheet p. 2
  2. MaterialBrass, nickel-plateddata sheet p. 2
  3. Max. temperatureData sheet 120 °C, catalogue 110 °Cconflict
  4. Drinking water approvalnot in data sheetmissing

14 of 16 required attributes filled

The attributes are in the PIM, with sources.

The AI assigns the item to its ETIM class, pre-fills the attributes and writes an item text for the shop. Missing required attributes and conflicts are listed first.

Your team decides

Which attributes are required before an item goes to the shop.

Item 204-1180PIM
NameBall valve DN 25, PN 40
Manufacturer no.KH 25-PN40
Short textNickel-plated brass, Rp 1, up to 120 °C
OpenDrinking water approval requested from manufacturer
Send for approval

Product management checks and approves.

Product management clears the open points, with a drafted query to the manufacturer if needed. After approval the data goes to ERP and shop.

Your team decides

Whether the item goes into shop and catalogue as it is.

What it delivers and what it connects to.

  • 2027

    the digital battery passport becomes mandatory, for example for industrial batteries above 2 kWh. Product data becomes part of regulation.

    Source: Regulation (EU) 2023/1542, EUR-Lex

  • 10 min

    instead of around 45 minutes until a new item is fully set up

    Assumption for a typical company

  • 9 in 10

    attributes come pre-filled from the data sheet with their source

    Assumption for a typical company

Works with the systems you already use

Who does what.

What the AI takes on

  • Reads data sheets, BMEcat and Excel
  • Assigns items to the ETIM class
  • Pre-fills attributes with their source
  • Flags gaps and conflicts
  • Drafts item texts for the shop

What your team decides

  • Sets the required attributes
  • Decides on conflicts
  • Clears open points with the manufacturer
  • Approves items for shop and catalogue

Who it fits.

A good fit if

  • You carry a large range from many manufacturers
  • Manufacturers send data sheets, BMEcat or Excel
  • Your shop or your customers need ETIM attributes
  • New and changed items keep coming in

Less of a fit if

  • Your range is small and rarely changes
  • Manufacturers send hardly any data sheets, so the values are nowhere to be found

What it costs

Fixed prices, clear steps.

You know up front what each step costs and what it delivers.

  • Recommended start

    First call

    Free

    30 minutes by video

    • We look at where you stand
    • You find out whether an AI strategy is worth it
    • No obligation, with a concrete next step
    Free intro call

  • AI strategy

    €1,990plus VAT

    Fixed price

    • One workshop day on real cases
    • A calculation with your figures for the best use cases
    • A paper for management and shareholders

    Money-back guarantee: three use cases that pay back within 12 months on paper, with your figures, or your money back.

    Request the AI strategy

  • Pilot with one use case

    from €5,000plus VAT

    Fixed price

    • On your data, in your process
    • Acceptance criteria agreed in writing
    Request a pilot

All prices net. Operation afterwards is from 20% of the project price a year, cancellable monthly. The code and the data are yours.

Built fromData & documents

Further reading

All posts
Feeding ChatGPT your own data? What a knowledge system does differentlyKnowledge systemsTiemo Timtschenko

Frequent questions

Common questions about it.

The questions that almost always come up about this use case.

Do we need a PIM for this?

No, it also works with the item master in the ERP. A PIM makes it easier to maintain attributes by ETIM and distribute them to several channels. Whether that pays off for you is settled in the AI strategy.

Does the AI make up missing values?

No. Every value has a source in the data sheet or the manufacturer file. If a value is nowhere to be found, the field stays empty and is flagged as a gap.

What about existing items with poor data?

The AI can work through the existing range, fill gaps and list conflicts. It makes sense to start with the items that sell most or are asked about most often.

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The next step

Let us find out where AI pays off for you.

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