Innomotics

Innomotics was faced with the challenge of making complex product data for electric motors clear, accessible, and digitally usable.

Challenge

A traditional product catalog is no longer sufficient for selling complex technical products. Product presentations need to provide dynamically configurable, filterable, and context-sensitive information. At the same time, large international companies face high requirements regarding security, scalability, and system integration. The solution needed to work both as part of complex enterprise web environments and as a standalone application.

Solution

Based on a concept developed by Magi Digitalis, we implemented and continuously evolved an interactive web application.

• Development of a data-driven app engine with JavaScript and Vue.js
• Clear separation of data and presentation layers
• Modular architecture for flexible extensions and new interfaces
• Integration as a website module or standalone application
• Secure access control for protected content
• Deployment on Innomotics’ AWS infrastructure

Implementation

We defined the interaction logic and created a consistent user experience, including custom interface components such as a 3D product view. The application reacts instantly to user input, filters content in real time, and reduces complexity to the essential information.

The data structure was designed so that content can be maintained independently from the frontend. Updates can be deployed without interfering with the application itself. New product data and content become available quickly and efficiently.

Thanks to the modular system architecture, new “skins” or interfaces can be implemented with minimal effort. This significantly reduces development time for future adaptations.

Result

• Significantly improved accessibility of complex product data
• Faster maintenance and updating of content
• High flexibility for different use cases and environments
• Scalable and secure system architecture

Added value

The solution directly supports sales and marketing teams. Users can find relevant products faster, better understand technical relationships, and make more informed decisions. At the same time, the system remains maintainable, extensible, and future-proof over the long term.