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Case Study:

Leviat GmbH

Customer

Leviat GmbH

The HALFEN product brand of Leviat GmbH leads worldwide with intelligent fastening solutions in the fields of concrete, facade and industrial technology.
Leviat GmbH
Leviat GmbH
Solution Partner
twocream
Industry
Products Used
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Customer Key Facts

20K

Products

42

Countries

Leviat GmbH

Challenge

The previous system was primarily a CMS system. This meant that not only automated data synchronization was difficult. Manual control and adjustment of the data was also no longer up to date. The infrastructure, which had grown over the years, had to be adapted to current needs and future-proof technologies. Leviat products are industrial products with a considerable amount of information. Therefore, structures and data models for the product data and the corresponding information had to be created in the conception.
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Leviat GmbH

Solution

The use of modern front-end technologies formed the basis for a modern design and intuitive user guidance. Pimcore CMS is not only the excellent basis for the new solution, it also perfectly captures all unstructured data. Pimcore PIM/MDM and DAM provide the ideal home for all structured data, enabling product data to be maintained in one central location. This way, the Pimcore product family provides a unified backend for all editors with a single system, significantly increasing the acceptance of the system by all stakeholders.
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Leviat GmbH

Results

In the new, modern Pimcore data management, master data can be managed or maintained quickly and conveniently. Thanks to the numerous preconfigured data fields in Pimcore, even complex data models could be implemented quickly and easily as well as being linked to the CMS. The CMS proved to be the perfect complement to the Pimcore PIM/MDM and DAM applications. In the new, modern PIM/MDM/DAM system, employees can now publish product information and other data to the website easily and with minimal effort. The result is an excellent user experience for site users but also for editors.
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Key Results

30%

TimeToMarket

25%

DuplicatedData

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