Industry · HVAC and Heating
One governed source of truth for products, components, and complete systems. Model a system once and publish it correctly to every wholesaler, reseller, contractor, and retailer the same day.
Systems, not single products
What goes in the box depends on the job, not a checklist. Usually, a veteran product manager assembles the order from memory. If they’re on vacation, quotes wait. If something’s missed, the contractor finds out too late and goes elsewhere next time.
Catalogs take months to finish, pieced together from spreadsheets and image folders. Datasheets are emailed and posted one by one, quickly going out of date. For global manufacturers, keeping up across languages and markets is nearly impossible. Distributors and contractors end up using outdated info, leading to mistakes and credits.
It’s easy to buy enhanced data, but where do you put it? Many manufacturers find themselves stuck, unable to organize new data while waiting on ERP projects. Sales notices first, usually when you can’t show a product in two categories at once.
A data model you define
A system is a composition. Pimcore models products, components, add-ons, kits, and the relationships between them, including replacement parts and supersessions, with attributes stored on the relationship itself rather than on either end. That is the data layer on which a system finder or a CPQ tool runs, and it is what lets a plumber or a ventilation engineer assemble a correct parts list without calling your product manager.
Attributes live in a classification store: groups, features, values, and units. An attribute can belong to several groups, so one governed key serves different purposes in different contexts. Variants inherit from the parent and override where they differ. ETIM feature groups are modeled directly, and ETIM or BMEcat exchange files are handled through mapping or a plugin rather than a checkbox, which your implementation partner will scope with you.
Templates can pull from the live record, so a spec sheet requested today reflects today's data, including related products, accessories, and the branches that hold stock. Print catalogs and technical manuals are paginated via an InDesign integration. Web-to-print cut production of Bösch's 860-page catalog from 180 man-days to a fraction of that, a 92 percent gain in efficiency.
Channel-specific data sits in its own structure attached only to the products that need it: a retailer's title format and required attributes, a distributor's category mapping, a branch's stocked subset. Completeness is scored per channel, so a product that is ready for your own site and not yet ready for a retailer feed shows up as a work queue rather than as a rejected file.
Images, technical drawings, CAD files, 3D models, installation instructions, and compliance documents are managed as product assets with metadata, versioning, and generated renditions. Store the master once and let thumbnails, watermarks, and channel sizes be generated from it.
Mandatory attributes, format checks, and completeness scoring are configured for the model, and the results drive the reports your catalog team uses. Approval workflows route a product through marketing, technical, and compliance reviews, with each approver seeing only what they need to approve.
Spent managing product data at Walter Bösch, an Austrian HVAC manufacturer with 16,000 products.
For complex systems, after a system finder let plumbers configure heating and cooling systems themselves rather than routing every job through a product manager.
Bösch's 860-page catalog went from 180 man-days per edition to a fraction of that, generated from the product record.
After Bösch moved B2B ordering from fax and phone to a marketplace connected to four ERP systems.
At Caleffi Hydronic Solutions, whose catalogs and technical manuals are paginated automatically in InDesign across up to 30 languages.
''Its data was scattered, ordering still ran on fax and phone, the 860-page catalog was compiled by hand, and configuring a system required an internal product manager each time. The results: 80 percent less time on product data, a 21 percent sales increase, 32 percent better sales efficiency on complex systems, and 92 percent off catalog production.''
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Walter Bösch GmbH & Co KG
Manufacturing
Walter Bösch GmbH & Co KG uses Digital Commerce and PIM / MDM to deliver 80 % time reduction in data management.
Caleffi Hydronic Solutions
Manufacturing
Caleffi Hydronic Solutions uses PIM / MDM and DAM to deliver 30 Reduced Time To Market (%).
Frigotechnik Handels GmbH
Retail
Frigotechnik Handels GmbH uses PIM / MDM and DAM to deliver 15% DuplicatedData.
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