Test Automation Development for InPost Logistics Processes

The project required ensuring system reliability through manual testing and the development of automated tests for different logistics process scenarios.

The key challenge was to define an appropriate testing strategy that would account for the complexity of integrations with external systems and the variety of processes handled by the system.

It was also important to improve bug analysis, increase system observability, and simplify testing of selected system elements while reducing the costs related to load testing.

As part of the project, a manual and automated testing strategy was developed and implemented, enabling effective system verification across different logistics scenarios.

The use of tools supporting testing and automation made it possible to detect bugs faster, analyze their causes, and support their elimination.

The prepared metrics and dashboards enabled ongoing monitoring of system performance and logistics process speed, while limited performance tests helped identify bottlenecks and introduce appropriate improvements.

In logistics, the quality of IT systems directly affects parcel handling efficiency, process stability, and end-customer experience.

The InPost project shows that an effective QA strategy should combine manual testing, automation, bug analysis, observability, and performance testing carried out where it can bring the highest value.

For logistics companies, a similar approach can support faster problem detection, lower failure risk, better process monitoring, and more stable handling of large-scale operations.

Edge One Solutions supported InPost by providing IT specialists responsible for testing and improving the reliability of logistics systems.

The scope of support included developing and implementing a manual and automated testing strategy, bug analysis, and activities supporting the elimination of detected issues.

The team also supported the creation of metrics and dashboards for monitoring performance and process execution, as well as performance tests helping identify system bottlenecks.