Eco Terra GmbH is a medium-sized company in the food segment that imports, processes and distributes high-quality organic nuts, Andean grains, dried fruit and other raw goods. Thanks to its own production facility in the Taunus region, Eco Terra supplies primary products for industry and wholesalers, produces for private labels and sells its own brands in the major food retail chains. As one of the leading full-service providers for unpackaged shopping stations in German supermarkets and a large range of products in returnable jars, Eco Terra offers an impressive product range. With this diversity comes a large amount of product data.
ECO TERRA
EFFICIENT DATA MANAGEMENT WITH PIMCORE
Implementation of a professional data management solution to standardize and effectively manage diverse product data. Seamless integration ensures a smooth data flow, time savings and cross-departmental working.
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REQUIREMENTS ANALYLIS
Eco Terra selected Pimcore as the future solution for their data management. As an integration partner, we began the requirements analysis phase together with Eco Terra. During this phase, the requirements and processes were discussed and Eco Terra's existing product data structure, which originated from source systems such as Excel and the ERP system, was analyzed in detail. A key requirement was to replace Excel and combine the product data from the ERP system with the image data. For the data import, it was necessary that the data could be processed and provided in the system at Eco Terra. In addition, a naming convention for the images was defined as a requirement in order to enable problem-free assignment during playout. During the requirements phase, Eco Terra had already formulated clear ideas, which we evaluated and refined through our consulting services.
REQUIREMENTS ANALYLIS
Eco Terra selected Pimcore as the future solution for their data management. As an integration partner, we began the requirements analysis phase together with Eco Terra. During this phase, the requirements and processes were discussed and Eco Terra's existing product data structure, which originated from source systems such as Excel and the ERP system, was analyzed in detail. A key requirement was to replace Excel and combine the product data from the ERP system with the image data. For the data import, it was necessary that the data could be processed and provided in the system at Eco Terra. In addition, a naming convention for the images was defined as a requirement in order to enable problem-free assignment during playout. During the requirements phase, Eco Terra had already formulated clear ideas, which we evaluated and refined through our consulting services.
DATA MODEL, INTERFACES & IMPLEMENTATION
Based on the requirements and evaluations, the data model was jointly developed and the necessary interfaces were determined. In addition to the interfaces to the existing source systems, a key aspect was to make product images available to customers and external databases via a web link. For this purpose, we programmed a middleware that takes over the control of the externally available images. The previously defined naming convention was crucial for checking and assigning images without any problems. With regard to Pimcore, we developed the backend and extended the code to enable a user-friendly data view and make the work more intuitive for users.
DATA MODEL, INTERFACES & IMPLEMENTATION
Based on the requirements and evaluations, the data model was jointly developed and the necessary interfaces were determined. In addition to the interfaces to the existing source systems, a key aspect was to make product images available to customers and external databases via a web link. For this purpose, we programmed a middleware that takes over the control of the externally available images. The previously defined naming convention was crucial for checking and assigning images without any problems. With regard to Pimcore, we developed the backend and extended the code to enable a user-friendly data view and make the work more intuitive for users.
CONCLUSION
"Working with NETFORMIC was extremely enjoyable and characterized by a collegial atmosphere at eye level. Communication was very good and the team was always available for queries. Our employees are grateful for the introduction of Pimcore, as it makes data management much simpler and more efficient. The elimination of numerous Excel spreadsheets is a significant improvement."
MAXIMILIAN RÜPPELL
Head of IT & Digital Transformation, Eco Terra GmbH
