Case Study:
Helping To Automate Product Data Delivery to EPREL Database For Opple Lightning
Opple Lighting is a lighting solutions company based in Europe. They specialize in providing a wide range of lighting products, including LED lights, lamps, fixtures, and other lighting solutions for residential, commercial, and industrial applications.
Opple Lighting focuses on energy-efficient lighting solutions and has a global presence, supplying products to various markets worldwide. Their product range includes indoor and outdoor lighting solutions, such as ceiling lights, down lights, track lights, floodlights, panel lights, and more.
Opple Lighting implemented the Gepard PIM solution to automate product data delivery to the EPREL database, ensuring accuracy, compliance, and faster time-to-market.
Defined goals, set up EPREL accounts, created a dedicated tenant, and assigned team roles to manage the project.
Configured import parameters, mapped taxonomies, and established system-to-system connections with the EPREL database.
Imported product data into Gepard PIM, validated structure and attributes, and prepared files for transfer.
Checked data accuracy, pushed products to the acceptance environment, and tested label generation and compliance.
Conducted extensive environment, security, and performance tests before deploying the process to the production environment.
Provided client access, training, and support for independent imports, ensuring smooth adoption of the solution.
Data Standardization
Frequent Regulation Updates
Complex Taxonomy Mapping
Error-Prone Imports
Team Coordination
We implemented a structured, EPREL-compliant data format that centralized product information into one unified table. This ensured accuracy for energy ratings, technical specifications, and compliance documents across all submissions.
The Gepard PIM platform allowed Opple Lighting to quickly adjust product information when EPREL regulations changed. Built-in version control and automated workflows reduced the risk of delays and human error.
AI-driven taxonomy mapping aligned product categories and attributes with EPREL’s requirements. This automation eliminated inconsistencies, reduced manual effort, and accelerated product onboarding.
A validation layer was added to automatically detect incorrect formats or missing attributes before import. Errors were flagged in real time, allowing teams to correct issues quickly and ensure smooth submission.
We created a shared Gepard PIM environment where product, regulatory, and IT teams could collaborate. This improved communication, streamlined task allocation, and ensured faster resolution of compliance requirements.
Business Value: Reliable compliance through structured, EPREL-ready product data.
We implemented a unified, standardized data model that consolidated Opple Lighting’s product information (including energy ratings, technical specifications, and compliance documents) into one structured format, ensuring seamless EPREL submissions.
Business Value: Faster adaptation to regulation changes with minimal manual effort.
Through Gepard PIM, Opple Lighting gained a configurable platform to manage EPREL updates, track version history, and automate workflows, guaranteeing timely and accurate adjustments to product labels and instructions.
Business Value: Increased efficiency and reduced errors in product categorization.
We enabled AI-driven taxonomy mapping to align product attributes with EPREL’s requirements, eliminating manual rework, reducing inconsistencies, and accelerating compliance readiness.
Business Value: Improved data quality and reduced risk of EPREL rejections.
An automated validation system detected errors in real time, flagged missing attributes, and provided corrective reports, ensuring only clean, accurate product data entered the EPREL environment.
Business Value: Streamlined teamwork and faster compliance execution.
We created a shared workspace in Gepard PIM for product, regulatory, and IT teams to collaborate, improving communication, speeding up approvals, and simplifying compliance management.