Company Overview
Pricer.com is a leading provider of Electronic Shelf Labels (ESL), powering over 28,000 stores across 70+ countries. Their product ecosystem is a complex combination of hardware and software, all managed through a centralized platform where store owners and installers collaborate in real-time. This system is mission-critical, as it enables real-time price updates and seamless store operations.
The Challenge
Ensuring the quality and stability of Pricer’s platform was a formidable challenge. It required deep knowledge of their workflows, infrastructure, and platform-specific nuances. Their QA team of 8 relied heavily on manual testing and automated end-to-end (E2E) tests, yet they still encountered persistent difficulties:
- Critical bugs continued to slip through despite automated tests.
- Quality assurance bottlenecks slowed down release cycles.
- The increasing complexity of their infrastructure exacerbated testing inefficiencies.
Following a corporate restructuring, the QA team was reduced to just 2 members, necessitating a radical shift in their testing approach to maintain product integrity without compromising efficiency.
The Solution
Recognizing the need for a more sophisticated and scalable solution, Chris Chalkitis, CTO at Pricer, identified AI-driven testing as an optimal approach. Pricer integrated QA.tech, leveraging AI-powered agents to enhance test automation and efficiency.
“We project that we will significantly improve quality while saving money in the next year by investing in agentic testing that allows us to test deeper and more frequently than manual testing.” – Chris Chalkitis, Chief Digital Officer
How Pricer Uses QA.tech
Pricer operates within a complex organizational structure, where multiple teams are responsible for different applications within their infrastructure. With QA.tech:
- Each team manages its own Test Plan, ensuring that critical user journeys are thoroughly covered.
- Automated testing is seamlessly integrated into the development process through QA.tech’s GitHub integration, enabling proactive quality control.
- Continuous smoke testing ensures stability, preventing regressions before deployment.
- AI agents dynamically adapt test cases, allowing for enhanced coverage of evolving functionalities.
“With QA.tech, we automate cases we previously didn’t have the resources to cover. Since implementation, we have increased our test coverage and significantly reduced deployment risks.” – Thomas, Platform Development Manager
Results & Impact
By integrating QA.tech into their development and deployment pipelines, Pricer achieved:
✅ Higher test coverage with a leaner QA team.
✅ Accelerated bug detection and resolution, reducing production incidents.
✅ Minimized reliance on manual testing, reallocating resources to higher-value tasks.
✅ Improved software quality and reliability, leading to smoother releases.
✅ Increased operational efficiency, allowing the team to focus on innovation rather than repetitive testing tasks.
Conclusion
The adoption of QA.tech has empowered Pricer to maintain exceptional software quality despite a reduced QA team. By leveraging AI-driven test automation, they have successfully optimized their testing strategy, ensuring robust and reliable software across thousands of stores worldwide. As they continue to scale, QA.tech remains a vital component of their quality assurance framework, enabling them to sustain innovation and efficiency in an increasingly complex ecosystem.