CASE STUDY • Leading CPG Data Provider

Global Information Services Company Achieves 30% Boost with AI Automation

Industry

Retail & Consumer

Our Contributions

Data Analytics & Visualization, Product Development, Web & Mobile Application Development, Test Automation, Application Support & Maintenance

Global Information Services Leader Boosts Testing Efficiency by 30% with AI-Powered Automation

Client Challenge

A global information services company providing trusted consumer and market insights across 90 countries faced significant testing challenges. The client's increasing software complexity and rapid release cycles demanded faster, more comprehensive testing capabilities. Traditional automation processes struggled to keep pace, and QA teams faced significant challenges in delivering quality at speed.

How We Did It

We deployed a team of 31 engineers over a 3-year partnership to transform the client's testing capabilities through AI integration and expert collaboration

Testing Framework Modernization

Initiated a proof of concept to migrate from Selenium to Playwright framework, improving execution time and scalability while addressing the complexity of migrating existing tests and developing new capabilities.

GitHub Copilot Integration Pilot

Launched a pilot program integrating GitHub Copilot into the Playwright testing framework, focusing on accelerating test case creation, improving code quality, and leveraging GenAI to boost productivity and efficiency.

Expert Team Collaboration

Formed a collaborative pilot team combining new and experienced engineers under expert guidance, bringing together automation specialists with expertise in Java, Selenium, JavaScript, and Playwright trained in utilizing GenAI for testing automation.

Iterative Development Approach

Incorporated feedback from initial demonstrations to migrate existing test scripts and create new test scripts with and without Copilot, measuring tangible impact and continuously optimizing processes based on performance data.

The Results

The pilot program delivered measurable improvements across efficiency, productivity, and quality.

30%

efficiency improvement in testing processes

35%

productivity boost across QA teams

Faster delivery and reduced time to market
Increased productivity without expanding team size
Lower testing costs through improved automation
Enhanced quality across all development processes

The Bottom Line

Our GitHub Copilot integration pilot streamlined workflows, enhanced test coverage, and improved overall quality, leading to faster delivery and reduced time to market. The initiative delivered increased productivity without additional headcount and lower testing costs, enabling more efficient operations at scale. This transformation allowed the client to meet demanding release cycles while maintaining rigorous quality standards.