Case Study: Zur Rose Pharma GmbH - Impression #1

Multi-client assortment management incl. Magento 2 connection

As a service provider for pharmacies and a partner to doctors, health insurance companies, homes and healthcare companies, Zur Rose Pharma GmbH supports patients in the provision of medicines and healthcare. The focus is on competencies in the areas of pharmacy, logistics, purchasing, marketing and managed care

Evaluation, setup, implementation, and further development of a PIM system for assortment management for several online stores of the Zur Rose Group. Connection of 2 ERP systems. Integration of external data sources. Consolidation of work processes for product creation, article control, availability, pricing, text maintenance, and marketplace control.

Logo: Zur Rose Pharma GmbH
Logo: MEGAVERSAL
Pimcore Silver Partner
Customer
  • Zur Rose Pharma GmbH
Solution Partner
Industry
Products Used

Customer Key Facts

1
Locations
1.7M
Customers
2
Countries
Challenge

Consolidate product data and article processes in one system

Master objective: The product range of several online pharmacies of the Zur Rose Group is to be digitised in a central interface, enriched with content and digital assets and prepared for various channels (including Magento2 shop, print catalogues, email system, ...).

To achieve this, the following sub-goals were defined: The entire pharmacy assortment (RX+OTC) is to be stored in a scalable PIM system. Brand-specific individual systems must be replaced. It should be possible to manage data and processes on a client- and country-specific basis. Product data, assets and content must be stored in one system. It must be possible to automatically import product data from third-party systems via interfaces. The employees should be supported in their daily work to the maximum extent possible through high-level automation and workflows. The playout to shops and external marketplaces must be legally compliant and almost real-time.

Solution

Development of a PIM system based on Pimcore

In an evaluation phase lasting several weeks, various Pim systems were assessed and checked against a list of requirements. All results were summarised in a decision matrix. Pimcore emerged as the most optimal system for ZurRose's requirements, as it brings the best approaches to the following challenges in particular: Pimcore can be made operational within a very short time with a small agile team of developers. The product data model can be adapted to the special requirements of the pharmacy environment. Interfaces ensure that data from other systems can be migrated and later transferred to internal and external systems. The tech stack used does not pose any major challenges for the development department, either now or in the future. Pimcore can also be flexibly adapted overall to the needs of the company and the employees. (e.g. workflows, validations, message queues, etc.)

Case Study: Paul Ködderitzsch, Softwareentwickler
"Without the great community and the transparency of open-source projects, it would not have been possible to manage such a project so effectively."
Paul Ködderitzsch, Softwareentwickler
Results

Fast Go Live Thanks to Pimcore and Agile Development

From the evaluation of the Pimcore platform to the first GoLive, only 5 months and 2 senior Pimcore developers were necessary. The entire project was successfully completed within 11 months thanks to many Pimcore modules and an agile development approach. 
In the project review, the following highlights could be identified: Pimcore was immediately accepted by the employees and quickly found its place in the daily work of the colleagues in category management and marketing. Through self-developed workflows, wizards, screen masks, interfaces, processes, and validations, the data and process quality could be increased enormously and the time-to-market reduced considerably. Since the end of the project, Pimcore has been expanded by many ideas and thus adapted even better to the company's requirements.

Key Results

60%
Shortened Time to market
-66%
Reduced duplicate data

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