Case Study: Consistently standardized customer experience thanks to Pimcore
The name Verseidag stands worldwide for innovative and high quality coated and laminated textiles for use in a variety of application markets, such as architecture, biogas, industry and logistics.
Verseidag, a distinguished brand known for its high-quality coated fabrics for use in various sectors, embarked on a comprehensive redesign of its website in 2020. The challenge was to create complex structures and data models tailored to technical textiles applied in industries such as manufacturing, architecture and agriculture.
Customer Details
Customer Key Facts
5
Locations 350
Employees Challenge
Harmonization of complex product information and diverse application areas
Technical textiles are industrial products with a significant degree of information. Therefore, structures and data models for the product data had to be created.
Another challenge was the different orientation of the products, their characteristics and fields of application such as industry, architecture and agriculture. The new Verseidag website had to manage the balancing act between information transfer and visual presence, "capturing" the various products in their depth of information.
The future implementation had to meet these two core requirements.
Solution
Management of information in one source
Pimcore offers with PIM/MDM and DAM all structured data the ideal home. Pimcore CMS is the perfect way to capture all unstructured data. Thus, the Pimcore product family provides a consistent backend for all editors with a single system, thus significantly increasing the acceptance of the system by all stakeholders.
Results
Single source of truth seamlessly integrated
Thanks to the numerous data fields preconfigured in Pimcore, even complex data models could be implemented quickly and easily and linked to the CMS. The CMS proved to be a perfect complement to the Pimcore PIM/MDM and DAM applications. The result is an excellent user experience for both site users and editors.
Key Results
30%
Time saved in data maintenance 1 200
Media Assets 360
Data Objects