Visual (UI) Testing

Major retailers are beginning to reshape their release cycles with the help of AI-powered visual and UI testing. One example comes from Bestseller, the Denmark-based fashion group behind brands like Jack & Jones and Vero Moda. The company implemented automated testing through Leapwork, a low-code test automation platform used by enterprises to accelerate quality assurance. In a published case study, Bestseller reports that its teams built 110 automated test cases, 120 reusable components, and 15 integrations in just three months—dramatically increasing testing coverage without adding technical headcount. Jacob Poulsen, a technical specialist at the company, said the shift allowed business users “to create and maintain test flows” rather than relying entirely on engineering resources.

Another major retailer, Auchan, turned to Katalon, a software testing platform that offers AI-driven visual testing and cross-browser automation. Auchan’s engineering team uses Katalon to unify its web and mobile testing and to validate page layouts and components across a wide range of devices and screen sizes. The company reports that Katalon’s integrated visual testing and TestOps analytics have reduced manual regression work and improved collaboration across its distributed QA teams.

Industry-wide data reinforces these outcomes. TestGrid, another testing provider, reports that organizations adopting visual regression testing typically see a 40% reduction in post-release visual bugs, helping teams catch layout errors and broken components before they reach customers. Katalon’s own documentation highlights how manual A/B 335 3.5 Test and personalization QA can quickly overwhelm teams: Human reviewers often need 30 to 60 seconds to detect differences between two versions of a page. At scale—such as 20,000 checkpoints per month—that workload can exceed 40 person-days of effort. Katalon says its AI Visual Testing can eliminate up to 99% of this manual review time by automatically identifying differences and flagging issues.

These examples illustrate a broader shift underway in digital operations. Retailers that once relied on labor-intensive manual reviews can now validate seasonal campaigns, promotions, and UI changes across dozens of browsers and device types in minutes rather than days. The result is faster releases, fewer customer-facing errors, and a more reliable shopping experience during high-stakes periods such as holidays or peak promotions.

Visual testing is no longer just a QA tool—it has become an operational safeguard for customer trust across ecommerce, financial services, healthcare, and any sector where digital experience quality directly affects revenue and brand reputation.