Improving WMS Quality Through Automated Testing: How SLMCON Helped RONA Build a Stronger QA Process Using Cycle®
- SLMCON
- Aug 17
- 4 min read
Updated: 1 day ago
ABOUT RONA
RONA is a major Canadian home improvement retailer supported by a multi-site supply chain and distribution network. Blue Yonder Warehouse Management System plays a central role in coordinating activity across its distribution centers, so the reliability of the platform is critical whenever changes are introduced. SLMCON worked with RONA to establish automated testing with Cycle, and create a repeatable way to verify essential workflows, reduce operational risk, and build confidence in each system change.
RONA'S CHALLENGES
As RONA’s business and technology environment evolved, its warehouse systems had to support several significant changes. These included organizational transitions, efforts to optimize infrastructure costs, and upgrades to software used within the distribution centers. Each change introduced the possibility of unexpected effects on WMS performance or stability, making thorough validation essential before updates reached live operations.
The challenge was not limited to executing more test cases. RONA needed a testing approach that could be repeated reliably as the system continued to change. Its logistics and technology teams needed to determine whether an update had disrupted an established workflow, expose defects earlier, protect service levels, and create a foundation for testing more continuously over time.
That meant the testing program needed to accomplish four practical objectives:
1. Evaluate how proposed changes affected critical Blue Yonder WMS processes.
2. Detect configuration, integration, and workflow issues before production deployment.
3. Reduce the likelihood of operational interruptions that could affect customers or create avoidable costs.
4. Establish reusable automation that could support future releases and a continuous delivery model.
SOLUTION
RONA and SLMCON organized the program around Cycle Labs’ test automation platform. Instead of building every test from the ground up, the team began with Cycle’s existing Blue Yonder WMS test library and adapted it to reflect RONA’s processes, configurations, and operating environment. This provided a faster starting point while still allowing the final test coverage to represent the way RONA’s distribution centers actually worked.
The resulting strategy addressed three different forms of risk:
1. Regression testing
The team developed a reusable suite of automated Blue Yonder WMS tests that could be run whenever the application, its configuration, or related infrastructure changed. Consistent execution made it easier to confirm that established workflows still behaved as expected. It also helped reveal edge cases and indirect effects that can be difficult to reproduce through manual testing alone.
2. Volume testing
Functional accuracy was only part of the requirement. RONA also used automated volume testing to evaluate whether the WMS and its supporting infrastructure could remain stable under high transaction loads. These exercises allowed the team to model demanding operating conditions and assess changes such as adjustments to hardware capacity before depending on them in production. Volume testing became a repeatable capability rather than a one-time implementation task.
3. Continuous testing
The teams also connected automated testing with a GitLab-based delivery pipeline. This allowed tests to become part of the change process instead of being reserved for a final validation phase. The integration created a path toward faster feedback, more frequent execution, and a quality process that could evolve alongside RONA’s development and release practices.
SLMCON’s Cycle specialists configured and extended the test library for RONA’s environment. That combination of prebuilt WMS content and process-specific adaptation was important: generic test coverage could accelerate the initial setup, while targeted scenarios ensured that the automation addressed RONA’s actual workflows and risks.
This approach provided three immediate advantages:
1. A faster route to meaningful Blue Yonder WMS test coverage.
2. The flexibility to validate processes and exceptions specific to RONA’s operation.
3. A reusable testing foundation that could expand as the supply chain and technology environment changed.
RESULTS
RONA’s automated testing program delivered three significant outcomes:
1. More defects discovered
Cycle Labs reports that automation identified 30% more defects than manual testing, including issues in areas that had already been validated.
2. Greater confidence in system changes
Reusable regression and volume tests gave RONA a more consistent way to assess WMS upgrades, infrastructure changes, and future customizations.
3. A foundation for continuous testing
The GitLab pipeline made it possible to bring automated checks into the delivery workflow, supporting earlier feedback and more frequent validation.
Together, these capabilities gave RONA a repeatable framework for managing WMS risk as its software, infrastructure, and operating requirements continued to evolve.
Cycle helped us validate complex scenarios across multiple environments. With automated regression and volume testing in place, we can trust our systems to perform under pressure.
SHWETA RAUT
Manager, Technology | RONA
Key Takeaways
RONA’s experience shows why mature WMS testing requires more than a collection of scripts. Regression testing protects established functionality, volume testing evaluates operational resilience, and continuous testing makes quality part of the way change is delivered. Together, these capabilities create a repeatable framework for managing WMS risk as the business, software, and infrastructure continue to evolve.
For organizations planning a Blue Yonder WMS upgrade, infrastructure change, or new customization, the practical lesson is straightforward: begin testing before the final release window, preserve tests as reusable assets, and validate both functional behavior and operating capacity. The goal is not simply to complete a test phase. It is to create reliable evidence that the operation is ready for change.
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