How Hengstler-Dynapar turns complex product data into usable information with Perfion
11.11.2026
For Hengstler-Dynapar, making product information available online meant moving beyond printed data sheets. The motion feedback manufacturer needed a central place to enrich its product data, share it with distributors, and publish it on its website.
At B2B eCommerce World 2026 in Indianapolis, Chris Skobel from Hengstler-Dynapar joined our Channel Manager Joe Walsh to discuss how Perfion supports that work. He shared how the business manages configurable products, generates dynamic data sheets, and uses a custom decoder to assign approximately 180,000 attributes across its SKUs with each fresh import.
Moving product information beyond paper
Hengstler-Dynapar manufactures encoders used to measure speed, rotation, and position. Applications range from conveyor belts and elevators to precision motion in robotic systems, including surgical devices.
The information describing those products needs to be accessible to the people and channels that use it. Before investing in Perfion, much of the company’s product data lived in printed data sheets.
The team wanted to bring that information together, enrich it, and make it available for its website and distributor websites. Centralizing the data also gave people across the business a place to access it.
Structuring data around configurable products
Hengstler-Dynapar’s products have specific data requirements. For Chris, the flexibility to accommodate those requirements is an important part of Perfion’s value.
“Perfion gives us that ability to kind of customize it in a way that fits our needs, our product data,” he explained.
That flexibility helps the team structure information around its products and export it for different uses. The same centrally managed product data can support the company’s website, distributor requirements, and technical documentation.
This is particularly valuable for configurable products, where a SKU represents a specific combination of characteristics. Turning those configurations into usable product information is a substantial part of Hengstler-Dynapar’s workflow.
Connecting ERP data with product enrichment
Hengstler-Dynapar connects Perfion directly to its ERP system. The ERP manages operational information, including lead times, pricing, and SKU creation, and feeds that data into Perfion.
To handle its configurable products, the company built a custom decoder within this workflow. With each fresh import, the decoder interprets the configurations and assigns approximately 180,000 attributes across the SKUs.
For Chris, the time savings from this process have been significant. The team can translate product configurations into structured attributes through the import workflow, reducing the work involved in preparing that information for use.
The ERP continues to manage operational data, while Perfion supports the enrichment and distribution of product information.
Generating data sheets from product records
Hengstler-Dynapar also uses Perfion’s dynamic reporting capabilities to create SKU-specific data sheets.
Each sheet pulls information from the relevant product record to build a document that can be referenced and shared. This gives the team a practical way to turn structured product data into technical documentation without assembling each sheet separately.
For a manufacturer serving distributors as well as its own digital channels, this connects the management of product information with the materials people need to evaluate and work with its products.
Aligning attributes across business units
Hengstler-Dynapar’s next priority is to harmonize product attributes across its business units.
Today, some attributes are organized separately by product line, including encoders, resolvers, and accessories. The team wants to consolidate and align those attributes so they can be used more consistently across the business.
Chris described product data quality as an ongoing journey. Having a central system provides a foundation, while improving the structure and consistency of the information remains an active part of the work.
The team is also considering how AI could support future data enrichment. That is an area for exploration, alongside the more immediate work of aligning attributes.
Hengstler-Dynapar’s experience shows how a manufacturer can put complex product data to practical use: connecting operational information from ERP, interpreting configurable SKUs, and using enriched records to support websites, distributors, and data sheets. Its next step is to make that information more consistent across the wider business.