Customer stories

    Automotive

    Large Automotive Company case study

    80% time saved. A Large Automotive Company, a global leader in vehicle manufacturing and technology, faced significant challenges in testing their advanced infotainment systems.

    Environment

    Automotive

    A Large Automotive Company, a global leader in vehicle manufacturing and technology, faced significant challenges in testing their advanced infotainment systems.

    AskUI setup

    Vision-first automation

    The Large Automotive Company partnered with AskUI to implement a comprehensive test automation strategy for their infotainment systems.

    Measured result

    80% time saved

    80% reduction in overall testing time

    The Challenge

    The Large Automotive Company's infotainment systems incorporated sophisticated features such as:

    • Voice recognition
    • Smartphone integration
    • Navigation systems
    • Entertainment apps
    • Vehicle diagnostics

    Manual testing was proving inadequate, leading to:

    • Extended development cycles
    • Inconsistent test results
    • Difficulty in reproducing complex scenarios
    • Increased costs due to late-stage bug detection

    The AskUI Solution

    The Large Automotive Company partnered with AskUI to implement a comprehensive test automation strategy for their infotainment systems.

    Key components of the AskUI solution:

    1. Platform-Independent Framework: AskUI's visual selector-based UI automation framework allowed testing across different operating systems and devices.
    2. AI-Powered Element Detection: AskUI's neural network, trained on UI element appearances, could localize elements based on screenshots, enabling testing without reliance on code selectors.
    3. Natural Language Instructions: Tests could be written in "UI language," making them easy to understand and maintain.
    4. OS-Level Control: AskUI executed instructions via mouse and keyboard control at the operating system level, simulating real user interactions.
    5. Visual Regression Testing: The AI model could detect visual changes and layout issues, enhancing the quality assurance process.

    Results

    After implementing the AskUI automation solution, the Large Automotive Company experienced significant improvements:

    • 80% reduction in overall testing time
    • 95% decrease in manual testing efforts for regression testing
    • 70% improvement in bug detection during early development stages
    • 40% faster time-to-market for new infotainment features

    Long-term Benefits

    1. Cross-Platform Testing: AskUI enabled seamless testing across different infotainment models and operating systems.
    2. Stability: Tests remained stable despite UI changes, as AskUI's AI adapts to visual modifications.
    3. Ease of Use: The intuitive nature of AskUI allowed non-technical team members to contribute to test creation and maintenance.
    4. Future-Proofing: AskUI's approach made the automation solution resilient to future technology changes in infotainment systems.
    5. Comprehensive Coverage: The ability to test across platforms and simulate real user interactions improved overall test coverage.

    Results

    Measured outcomes from the deployment.

    • 80% reduction in overall testing time
    • 95% decrease in manual regression testing effort
    • 70% improvement in bug detection during early stages
    • 40% faster time-to-market for new infotainment features
    • Cross-platform testing enabled across OS and infotainment models
    • Test stability maintained despite UI changes (AI-adaptive)
    • Non-technical team participation enabled
    More proof

    Other environments AskUI controls.

    Deutsche Bahn

    Deutsche Bahn, one of the world's leading mobility and logistics companies, relies heavily on its Point of Sale (POS) systems to serve millions of customers daily. Previously, their QA strategy for the POS system was entirely manual, leading to excessive time spent on regression testing, inability to achieve desired test coverage, manual testing errors, existing automation frameworks like Selenium being unable to effectively address elements within the app, difficulty integrating testing processes with existing enterprise tools, and challenges in testing applications across multiple Android devices.

    Read story

    FICUS Health

    FICUS Health supports rehabilitation clinics with AI-powered documentation. Yet every clinic still relied on legacy hospital information systems that required manual copying of physician notes and discharge documentation. Care teams spent hours retyping structured reports into the hospital information system, updates were delayed, and incomplete entries risked reimbursement penalties.

    Read story

    Zucchetti

    Zucchetti turned to AskUI to automate testing for their mobile application, overcoming limitations of traditional tools. Their software is a mobile application that runs on a .NET canvas element, where traditional solutions with id-based object recognition like Selenium simply didn't work. Previously, everything was tested manually and always under time pressure. Releases were often rushed, and regression testing was shortened due to lack of time – only new features and critical areas were tested.

    Read story

    We value your privacy

    We use cookies to enhance your experience, analyze traffic, and for marketing purposes.