Discover how a global leader in material handling transformed its software delivery process with intelligent test automation. Facing long deployment cycles and resource‑intensive validation, the company partnered with Codelab to redesign its approach to testing. By integrating cutting‑edge tools like Vector, Robot Framework, and Jenkins into a smart CI/CD pipeline, they reduced release time from three months to just weeks.
Learn how this solution not only improved efficiency and scalability but also gave their engineering teams the confidence to innovate faster.
Client
A global technology company specializing in logistics automation and material handling solutions provides key components and modular platforms used in warehouses, distribution centers, airports, and manufacturing facilities worldwide. The organization focuses on technologies such as conveyor systems, rollers, motors, sorting solutions, and pallet handling equipment, which form the backbone of automated material flow systems.
With an international presence and cooperation with leading system integrators and global brands, the company plays an important role in enabling efficient, reliable, and scalable intralogistics operations. Its solutions help organizations improve throughput, optimize internal logistics processes, and support the growing demand for automation in modern supply chains.
Challenge
A global technology company specializing in logistics automation and material handling solutions provides key components and modular platforms used in warehouses, distribution centers, airports, and manufacturing facilities worldwide. The organization focuses on technologies such as conveyor systems, rollers, motors, sorting solutions, and pallet handling equipment, which form the backbone of automated material flow systems.
With an international presence and cooperation with leading system integrators and global brands, the company plays an important role in enabling efficient, reliable, and scalable intralogistics operations. Its solutions help organizations improve throughput, optimize internal logistics processes, and support the growing demand for automation in modern supply chains.
In logistics automation, reliability is critical - even small software issues can impact warehouse throughput. Before adopting Codelab, our regression testing relied heavily on manual validation of control software and system integrations. Each release required several engineers spending multiple days executing repetitive test scenarios.
By introducing automated testing with Codelab and integrating it into our CI/CD pipeline, we transformed this process. Our key regression tests now run automatically with every build, giving us immediate feedback on software changes. What previously took days of manual effort is now completed in a few hours, and we estimate that automation has reduced our testing-related engineering costs by around 35% while significantly increasing release confidence.Logistics Automation Solutions Provider
Technical Lead
What we did? | Results: |
|---|---|
| ▪️Test Infrastructure Setup: Utilized Vector and VTest Studio for test case development and execution. Integrated Robot Framework with Python scripts for flexible and scalable test automation. Configured XRay in JIRA for efficient test result reporting and management. | ✔️Accelerated Release Time: Reduced the release cycle from 3 months (5 manual testers) to 3-4 weeks (3 testers) by leveraging automated testing. |
| ▪️ CI/CD Integration Automated test execution was triggered via Jenkins, ensuring seamless integration into the development pipeline. | ✔️ Enhanced Confidence in Development: Enabled the safe implementation of new functionalities and system redesigns without risking the stability of existing features. |
| ▪️ Hybrid Testing Approach Combined automated tests with manual testing to optimize resource utilization and ensure thorough coverage. | ✔️ Improved Efficiency: Streamlined the testing process, allowing the team to focus on critical tasks and innovation. |
Technologies: Vector, VTest Studio, Robot Framework, Python, Jenkins, XRay, JIRA
Client Benefits
▪️Time Savings – significant reduction in testing time, enabling faster time-to-market
▪️Cost Efficiency – reduced the number of testers required for each release cycle
▪️Scalability – established a foundation for future enhancements and testing scalability
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