Goal: the dealer should see the same data you do
In distribution and B2B wholesale, the bottleneck is not warehousing or logistics, but the exchange of product data with dealers and trading partners. An Excel price list is already outdated when it is sent. A PDF catalog takes weeks to lay out and ends up diverging from the actual assortment. A dealer calls the sales manager to confirm stock, lead time, and part applicability, and the manager spends hours on that instead of selling.
Pimcore is an open-source platform (GPL/Pimcore license) that combines PIM (product information management), MDM, DAM (digital assets), and a customer portal layer. For a distributor, this means a single source of truth for products, from which data automatically flows to all channels: the B2B portal, price list exports, and printed and online catalogs. Below is what the industry actually does with this tool, based on public vendor case studies. This is a capabilities overview, not our project.
What Pimcore is used for in distribution: public examples
Eberspächer - self-service instead of calling the manager
Eberspächer, an automotive components supplier, built a Pimcore-based B2B self-service portal. According to the Pimcore case study, 10,000 products and more than 36,000 media files are centralized, content is maintained in 31 languages, and the portal serves more than 50,000 B2B customers in 77 countries. Partners can search for products on their own, create individual quotes, place orders, and submit warranty claims online.
The vendor reports these business results: time spent on product data work fell by 80%, revenue from the B2B e-commerce channel increased, and call-center load dropped significantly because dealers no longer call about what they can now see in the portal themselves.
PMG - a single parts catalog and a portal with real-time stock
Bike parts distributor PMG brought 41,000 products into Pimcore PIM (bicycles and components, up to 1,000 bicycle types with frame-size and color variants). The data is clustered and distributed from ERP and PIM to a Shopware B2B storefront. In the portal, the dealer sees stock, lead times, payment statuses, and order history in real time; to submit a warranty claim, they click the location of the defective part directly on the bicycle diagram, and Pimcore automatically matches the part to the catalog item.
Reported case results: launch in 9 months, a 53% increase in average order value, 27% conversion growth, and a 30% increase in sessions per user. Account managers set individual sales targets and credit limits for each dealer directly in the system.
Automated price list and catalog layout
A separate scenario is the automatic creation of printed price lists and catalogs. According to Pimcore materials, manufacturers use Pimcore plus a layout engine such as PDFreactor to generate catalogs of hundreds of pages with thousands of SKU in dozens of languages for distribution across dozens of markets. The catalog is built from the same PIM that powers the portal, so the PDF, online storefront, and dealer export are guaranteed to show the same price and specification.
How it works: PIM as a single source for all channels
The pattern is the same in most projects:
1. Product data, prices, and stock levels flow from ERP/1C into Pimcore PIM through integration, with no manual export.
2. PIM enriches them with attributes, translations, media from DAM, and applicability rules.
3. From one PIM, data is automatically published to three channels: a B2B portal for dealer self-service, price list exports (CSV/Excel/API in the partner's format), and catalogs (online and print).
The key effect is that the dealer always works with current data, not a copy from a week ago.
KT.Team architecture note
From KT.Team's perspective, what matters is how Pimcore is embedded in the IT landscape. We support a loosely coupled architecture: PIM should not turn ERP/1C, the portal, and the catalog into a monolith. Pimcore connects to ERP through an integration layer (bus/API), rather than becoming fused with it. The business value of this approach is twofold. First, portability: the solution can be handed over between teams and vendors, and the portal and exports are not hardwired to a specific version of the accounting system. Second, local changes do not break adjacent systems: if you change the price list format for one dealer or add a catalog language, ERP and the portal are not affected.
Teams of 3-7 people, using DORA and Google SRE practices, take such integrations into production: every price or attribute change goes through a predictable, reproducible publishing pipeline instead of manual file editing. AI agents handle the routine work of enriching and normalizing product data - creating product cards, mapping supplier attributes, and checking completeness.
Bottom line: which business process this improves
The process of exchanging product data with dealers and trading partners improves. Instead of sending outdated Excel price lists and manually laying out catalogs, the distributor gives partners self-service access to current prices, stock, lead times, and catalogs from a single PIM. Public case studies show this measurably reduces manager workload (Eberspächer: -80% time on data) and increases sales (PMG: +53% average order value). With the loosely coupled architecture KT.Team supports, the solution remains portable and resilient to change, which makes it inexpensive to evolve and hand over.
