From Printed Catalog to Digital Product Data: PIM Basics for a Mid-Sized Manufacturer

For decades the printed catalog was your product data management: once a year, someone collected specifications, images, and prices into one authoritative book, and everything else referenced it. That workflow shaped where your product data lives today, which is everywhere and nowhere. The ERP holds article numbers and prices but not marketing texts. Descriptions live in the catalog PDF and the agency's layout files. Technical drawings sit on a file server, translations in the export manager's folder, and the truth about which data is current lives in two or three heads.

This is invisible as long as your only output is the annual catalog. It becomes a wall the moment you want a webshop, a customer portal, a dealer portal, or to feed data to a distributor's marketplace, because every one of those channels needs complete, current, structured product data on demand. Companies in this position often try to build the webshop first and discover mid-project that the real work is the data. Product information management, PIM, is the unglamorous layer that makes every digital channel after it cheaper and faster.

A PIM system is a single place where all sales-relevant product information is maintained once and published everywhere: descriptions, attributes like dimensions and materials, images, drawings, certificates, translations, and channel-specific variants of all of it. The ERP remains the master for logistics and commercial data, article numbers, stock, prices. The PIM is the master for everything a human or a channel needs to understand and sell the product. The two connect, they do not compete.

The practical test for whether you need one is simple: when a product attribute changes, how many places must someone update, and how confident are you that all of them happen? If the answer involves Excel files, the agency, and hoping, you have a data problem that will silently corrupt every channel you launch. A PIM replaces update-in-five-places with update-once-publish-everywhere, and for a manufacturer with thousands of articles and variants, that difference is the difference between digital channels being possible and being permanent construction sites.

Buying the PIM is the easy part. The project that matters is deciding your product data model: which attributes each product family needs, in which units, in which languages, and what counts as complete. This forces conversations your company has postponed for years, like whether the same property is called length, height, or Baulänge depending on who filled in the spreadsheet. Do this modeling with the people who know the products, not just with IT, because a data model that does not match how your customers actually select products will produce a technically clean but commercially useless catalog.

Then budget honest time for migration and enrichment, because your existing data will be worse than anyone expects. Every company that consolidates product data finds duplicates, contradictions, missing translations, and images that exist only in print resolution. Sequence it commercially: clean the product families your digital channels will sell first, not all of them alphabetically. A PIM that goes live with your top families complete beats one that is theoretically full and practically half-wrong.

Once product data is structured and centralized, the channels you wanted become projects measured in months instead of years. The webshop and customer portal pull directly from the PIM. Dealers get current data feeds instead of emailing for the latest PDF. Marketplaces and dealer webshops receive exports in their required formats. The print catalog does not die, it becomes an output: generated from the PIM instead of assembled by hand, which typically turns the annual catalog scramble into a routine production step.

There is also a search and AI dimension that rewards structured data specifically. Buyers and their tools increasingly query product specifications directly, and a manufacturer whose attributes are structured, complete, and machine-readable is findable and quotable in ways a PDF catalog never will be. The companies that treated product data as infrastructure early are the ones whose products show up when a purchasing agent, or a purchasing agent's software, asks for a component with exactly these specifications.