Case Study

A British multinational tobacco company partnered with Qualitest to optimize its SAP S/4 HANA implementation. The partnership resulted in seamless cloud integration, 50% cost savings, enhanced scalability, and adherence to system standards, driving long-term digital transformation success.

A global CPG leader leveraged AI-driven predictive analytics to enhance product offerings, reduce inventory waste, increase revenue, and improve customer satisfaction, all within an efficient eight-week rollout.

A leading insurer harnessed AI-driven predictive analytics to reduce the number of churned clients. This was accomplished by first generating a list of returning clients. After which, sales and marketing efforts targeted these clients. The predictive model was ready for deployment in less than two weeks.

A leading mobile carrier benefited from AI-driven predictive analytics to determine which QA tests will have a high rate of defects along with reasons. Employees were directed to fix such faults before they occur. It took just under a month to build a predictive model that was ready for deployment.

Qualitest’s AI solution helped an IC manufacturer predict failures, optimize root cause analysis, and improve product quality, boosting yield and efficiency with automated, no-code modeling.

A nationwide electricity provider faced a challenge to ensure high service SLA for electric power distribution while increasing technical teams’ productivity. The company’s transformers are located in various locations. Keeping the transformers in optimal health was a costly task as technical teams were responding to infrastructure failures as they occurred. 

Qualitest provided telecom company with a sophisticated predictive model solution that increased sales and ROI for digital marketing. The solution proved to be accurate, efficient, and powerful, increasing sales by enhancing the effectiveness of sales calls.

Qualitest empowered financial institutions to swiftly build stable, high-performing options trading models with its no-code ML solution. By leveraging over 40 algorithms, rapid deployment, and minimized risks, we accelerated revenue growth.

When our Client needed a large and complex migration of their on-premises infrastructure to a SaaS cloud platform, we helped them to achieve a critical rollout of Salesforce CPQ through combined functional and automation testing to achieve the results they needed.

When a not-for-profit news agency needed to thoroughly validate its vote tabulation platform with simulated real-time data volume, Qualitest exceeded performance targets by creating a configurable synthetic data simulation engine that generated high-volume, multi-format data with accurate real-time functionality.

When our Client expanded into the Canadian market by validating and localized their key e-commerce systems, Qualitest ensured compliance and delivered a seamless customer experience. This allowed our Client to confidently launch their operations in Canada.

Our Client, a long-established leader in the media services industry, achieved 100% requirement testing coverage resulting in maximum defect coverage (60+ defects) found.