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Chatter Mark Analysis app for Android & iOS (built on MAUI)

Evaluating chatter marks made easy!

Steinemann Technology AG is one of the leading suppliers of sanding systems for the wood-based panel industry and stands for first-class service quality.

In order to be able to analyse chatter marks even faster and more efficiently and to assign their causes, the Steinemann app for the evaluation of chatter marks was developed.

EPS Software Engineering AG was allowed to implement the existing app from scratch in MAUI, the Mutli-Platform App UI from Microsoft, and also introduce some improvements in the design for a better UX/UI.

steinemann-teaser-image

Steinemann Technology AG was able to benefit in particular from the following points:

  • We brought with us many years of experience in the implementation of mobile apps
  • Based on our mobile app template, the functionality of the existing app could be quickly and cost-effectively replicated in MAUI.
  • Thanks to our experience in UX/UI, the design of the app could be upgraded during the re-implementation without additional costs
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  • Reconstruction of the existing app in MAUI
  • Improving the UIs
  • Retrieve machine data for analysis via WordPress API
  • Offline availability of machine data
  • Build server with automated builds and testing
  • Support with the placement of the app in the Google Play Store and Apple App Store
steinemann-image2

EPS Software Engineering AG analysed the requirements based on the existing app together with Steinemann Technology AG and reconstructed the functionalities based on Microsoft’s Multi-Platform App UI (MAUI).

Thanks to the EPS Mobile App Template and the many years of experience in mobile app development, EPS Software Engineering was able to implement the new app within a very short time, whereby some improvements to the UX/UI were also incorporated in order to make the app more user-friendly and increase readability.

The machine data required for the analysis is requested via a WordPress API and stored locally in an SQLite database with EFCore in order to also provide an offline analysis. The synchronisation of the new online data happens automatically after app start.

By setting up an automated build pipeline, unit tests are carried out for each new change and new test and release versions are created automatically.

EPS Software Engineering AG was also able to support Steinemann Technology AG in the placement in the stores.

steinemann-image2

Project management

  • Jira
  • Confluence

Infrastructure

  • Bitbucket
  • Git

EPS components

  • EPS LibrarySet C#
  • EPS Mobile App Template

Other Components

  • SQLite & EFCore
steinemann-image2

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