Lovevery is a global early childhood brand dedicated to helping parents feel confident in their child’s early development. With expertly designed play products, Lovevery helps babies and toddlers receive the right stimulation at each stage of growth, fostering strong neurological connections during the most critical years of brain development.

Lovevery specializes in delivering thoughtfully crafted toys and educational materials backed by child development research. With a focus on purposeful play, they empower parents worldwide with the tools and knowledge to support their child’s learning journey, making early development both enriching and engaging.

Lovevery needed to automate the generation of test data to streamline their eCommerce order creation process.

Their testing team manually verified various purchasing flows, but with numerous order variations – including different products, discounts, and store regions – the repetitive nature of these tests made manual execution inefficient and time-consuming.

To optimize their workflow, Lovevery sought a test automation solution that could quickly generate diverse test scenarios and ensure comprehensive coverage of order creation cases. While their initial focus was on automation rather than testing, the scripts developed would later serve a dual purpose – helping with load testing to assess the site’s performance under high transaction volumes.

With the help of the DogQ no-code automation tool, Lovevery successfully automated the test data generation process, eliminating the inefficiencies of manual order creation testing.

Lovevery used the DogQ tool to automate all test data generation, regression, e2e, and UI tests by creating tests based on user flows. A team consisting of 1 QA engineer from our side, as well as several QA engineers from the client’s side, made sure that every crucial feature in their platform worked flawlessly. By implementing 42 scheduled test executions per day, DogQ allowed their team to continuously cover critical eCommerce flows, ensuring that various product combinations, discounts, and regional variations were accounted for in the system.

The Lovevery team found the following DogQ features the most beneficial:

• handy test scheduling;
• macros-powered reusability of tests;
• ease of adoption and test creation;
• parallel test executions;
• team management.

While the primary goal was test data automation, Lovevery simultaneously achieved an estimated 80% feature coverage as these automated tests naturally validated the user scenarios, and was thoroughly satisfied with the tool’s functionality. And this figure will continue to grow, as the project is ongoing.

DogQ helped Lovevery automate its test data generation process, significantly improving the efficiency of its eCommerce order testing.

By scheduling 42 automated test executions per day, Lovevery reduced the manual workload on its QA team while ensuring consistent validation of order flows, including product variations, discounts, and store region differences.

The impact of DogQ’s automation was measurable:

• 80% feature coverage was achieved indirectly as automated tests naturally validated key functionalities.
• Significant reduction in manual effort, allowing the QA team to focus on higher-value testing tasks.
• Improved user experience, as frequent test executions revealed areas needing optimization.
• Enhanced website scalability, as DogQ’s automation became a foundation for future load testing to assess site performance under high transaction volumes.

As a result, DogQ not only streamlined Lovevery’s internal workflows but also became a valuable asset for future performance testing, enabling them to assess how the platform handles high transaction volumes.

Currently, Lovevery continues using DogQ’s automation to streamline their testing processes further, ensuring a smooth and error-free purchasing experience for parents worldwide. With DogQ’s powerful no-code capabilities, Lovevery has transformed its QA strategy, making testing faster, smarter, and more efficient.

“As a QA engineer working on the Lovevery project, I can confidently say that DogQ has transformed the testing process. Automating test data generation has eliminated repetitive manual tasks, allowing us to efficiently test diverse order scenarios, including product variations, discounts, and regional settings. With automated test runs every day, we’ve significantly improved workflow efficiency, simultaneously achieving 80% feature coverage while ensuring a seamless purchasing experience for end users. The impact has been clear – Lovevery now has a scalable, efficient, and future-proof approach to testing and flawless user experience”.

QA at Lovevery's project