From Paper Bottlenecks to Live Product Data
Enterprises managing thousands of SKUs are discovering the limits of paper-based product catalogs. When technical specifications change or new variants are introduced, printed materials immediately risk becoming outdated, creating operational bottlenecks for field staff, distributors and customer support teams. In industries where accuracy and speed are critical, working from old pages or static PDFs can translate directly into downtime, incorrect orders and higher service costs. A digital product catalog, built on modern product information management (PIM) tools, replaces fragmented documents with a single, continuously updated source of truth. Instead of searching through binders, technicians and sales teams can query a centralized inventory system that reflects the latest data. This shift from static documents to live records reduces downtime risk and shortens the time needed to launch, adjust or retire products across markets and channels.
Hydroscand’s Centralized Product Cloud in Action
Industrial hose supplier Hydroscand illustrates how enterprise catalog digitization works in practice. The company manages more than 30,000 products across over 20 markets, with highly technical specifications that must be correct the first time. Previously, product information was scattered across print catalogs, PDFs and an e-commerce site, forcing technicians and sales staff to juggle multiple, sometimes outdated, references. By centralizing product data in Akeneo’s Product Cloud and using Digital Showroom as its primary discovery interface, Hydroscand has turned those silos into a unified product information management environment. Product, marketing and sales teams now access the same dataset, with support for translations and digital channel distribution. This centralized inventory system allows engineers, distributors and service staff to search once and trust the result, speeding up product selection and reducing errors. It also enables the phased retirement of printed catalogs, cutting production overheads while improving data accuracy.
Digitizing Complex Inventories: Lessons from Used Parts
While Hydroscand focuses on industrial hoses, LekoTech tackles a different complexity: digitizing used automotive parts. In this sector, the main barrier to scaling sales is not demand but poor-quality inventory data. Millions of components, overlapping part numbers and thousands of vehicle variants make manual, paper-based systems especially fragile. Many dismantlers still rely on handwritten labels and fragmented databases, leading to incorrect listings, weak fitment data and high return rates. LekoTech’s model shows how a digital product catalog tailored to used parts can act as a specialized product information management layer. Dismantlers capture images of parts, while LekoTech’s digitization team handles identification, fitment and catalog structuring. The result is a more reliable centralized inventory system that supports number-plate, VIN and OE-based search, plus direct e-commerce exports. This approach demonstrates that digitization is not only about speed; in safety-critical fitment scenarios, accurate data can matter more than automation.

PIM as the Backbone of E-Commerce and Fitment Accuracy
Across both industrial components and used automotive parts, product information management platforms are becoming the backbone of digital operations. A centralized PIM environment consolidates attributes, technical details and compatibility data into a single data model, enabling faster, more precise search across tens of thousands of SKUs. For enterprises, this makes it far easier to plug product catalogs into e-commerce channels, partner marketplaces and internal tools without duplicating effort. Hydroscand’s collaboration-first deployment with Akeneo shows how co-designed PIM systems can reflect real-world workflows rather than forcing teams into rigid structures. LekoTech, meanwhile, highlights the importance of fitment intelligence alongside inventory visibility, recognizing that a fast but inaccurate digital product catalog can be as damaging as a slow manual one. Together, these examples show that successful enterprise catalog digitization depends on both robust technology and domain-specific data governance, not just moving paper pages into a database.
