Case Study: GARANT Gruppe - Impression #1

Case Study: Furniture association centralizes complex product data management with PIM

As a high-growing marketing and purchasing association group, the GARANT Group supports more than 1 800 medium-sized specialist retailers in all areas of business management. The individual PIM solution centralizes product data from furniture, bedding, kitchen and the HVAC and sanitary segments.

Based on the Pimcore Enterprise Edition, the GARANT Group worked with NETFORMIC to develop a platform for data management that meets the complex requirements of the association group.It was of particular importance for GARANT to build the initial solution in an MVP approach in order to gather initial user experience as quickly as possible. In order to provide the 1 800 GARANT partners with a comprehensive tool for product research, the Pimcore Product Experience Portal is also used.

Logo: GARANT Gruppe
Logo: NETFORMIC.
Pimcore Strategic Partner
Customer
  • GARANT Gruppe
Solution Partner
Industry
Products Used
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Customer Key Facts

1 800
Customers
6
Countries
550
Manufacturer
140
Product Categories
Challenge

Complex product structures are a challenge for many companies

Up to now, the GARANT Group has maintained and updated product data at various locations within the company. A central platform for product data management should also cover the growing demand of the company and its partners for data for various web and e-commerce applications. As a wide positioned affiliated group with a very heterogeneous product range (e.g. kitchens, living room and bedroom furniture, home textiles, home accessories, sanitary products and home technology), the main task was to flexibly structure the imports. Here, complex attribute logics had to be mapped for the most diverse source files of the suppliers - a real challenge for the mapping to be created. In this context, a dynamic workflow for the creation of GARANT-specific products was also to be developed.

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Case Study: Moritz Büker, Head of Digital Services & Innovations, GARANT Group
"For the development of our platform, it was important for us to know that we have an experienced partner by our side who supports us in developing a PIM solution with real added value for our partners and our company. Therefore, we appreciate the solution-oriented cooperation with NETFORMIC."
Moritz Büker, Head of Digital Services & Innovations, GARANT Group
Solution

The most powerful platform for medium-sized businesses has received a new module

As part of the project, the custom-fit product data model for the GARANT Group was developed and implemented. The users of the solution can clearly and easily edit and standardize GARANT products on the basis of supplier data via a workflow and route them to various target systems. In addition, a digital product catalog for the GARANT Group was implemented with the Product Experience Portal. This serves as a modern, high-performance research tool for GARANT partners, in which the current product range can always be reviewed.

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Case Study: Sascha Stojanovic, Team & Technical Lead, NETFORMIC GmbH
"The GARANT Group is an exciting customer for NETFORMIC. I found the collaboration during the definition and creation of the workflows and the product data model particularly interesting. It was simply nice to work so intensively and in partnership with the contact persons from GARANT."
Sascha Stojanovic, Team & Technical Lead, NETFORMIC GmbH
Results

A custom-fit enterprise solution with the Pimcore Enterprise System

As part of the setup phase, a maintenance system was implemented for the GARANT Group for the preparation of the complex supplier data. As a result, the product data is now only held at a single point of truth. Exports can be provided for a wide variety of requirements, such as web catalogs and stores of GARANT dealers. The internal transparency of the complex product data, the ease of maintenance and the simple, convenient export of the product data to different systems are decisive advantages for the GARANT Group.
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Key Results

200%
Improved Data Quality
✓
Increased Transparency
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