ecommerce Archives - AI-Powered End-to-End Testing | Applitools https://app14743.cloudwayssites.com/blog/tag/ecommerce/ Applitools delivers full end-to-end test automation with AI infused at every step. Fri, 08 Nov 2024 12:42:24 +0000 en-US hourly 1 https://wordpress.org/?v=6.5.8 A Guide to AI-Powered Ecommerce Application Testing https://app14743.cloudwayssites.com/blog/ai-powered-testing-for-ecommerce-applications/ Tue, 01 Oct 2024 13:22:00 +0000 https://app14743.cloudwayssites.com/?p=58565 Modern ecommerce applications are more than digital storefronts. They’re immersive, complex experiences designed to captivate and engage customers—customers that spent well over $1 trillion in 2024 (over $220 billion during...

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Autonomous screenshot showing accessibility test

Modern ecommerce applications are more than digital storefronts. They’re immersive, complex experiences designed to captivate and engage customers—customers that spent well over $1 trillion in 2024 (over $220 billion during seasonal shopping surges).

Ecommerce applications are now multifaceted ecosystems that require high reliability, fast updates, and seamless performance across devices. With features like multi-step checkout, dynamic promotions, and personalized recommendations, these applications present a unique challenge for testing teams: ensuring consistent quality in an environment of constant change.

From adaptive content testing to streamlined cross-platform validations, AI-powered testing helps software test and development teams deliver personalized, high-quality experiences to their shoppers.

Step 1: Addressing the Core Challenges in Ecommerce Application Testing

To understand how AI-powered testing can enhance quality, we first need to think about the primary complexities in ecommerce applications:

  • Dynamic Content
    Promotions, recommendations, and A/B testing create a dynamic landscape where content changes rapidly, which can lead to issues in test reliability.
  • Multifaceted User Journeys
    A typical user flow can include browsing, filtering products, adding items to a cart, and various checkout steps, each with variations like promotional codes and payment methods.
  • Cross-Platform Consistency
    Ensuring a consistent experience across mobile, desktop, and tablet adds another layer of complexity, requiring cross-device and cross-browser validations to prevent regressions. 

These challenges make e-commerce application testing labor-intensive, especially for teams relying on traditional methods–manual or automated.

Step 2: Leveraging AI to Manage Complexity in Ecommerce Testing

Let’s explore how AI-powered testing can help address the common pain points of ecommerce application testing:

Autonomous Testing for Comprehensive Flow Coverage

Autonomous testing provides broad page coverage by automatically creating visual tests for each page from a single URL. For more complex, critical user journeys, custom flow tests blend human oversight with AI assistance to ensure thorough validation.

AI tools, like Applitools Autonomous, can learn the structure of complex user journeys—like multi-step checkouts or specific promo code applications—and adapt to new scenarios with minimal manual intervention. For developers, this means reduced time writing scripts and a faster feedback loop, as the AI detects critical paths and validates user interactions autonomously.

Test Tip: Use autonomous testing to cover frequently changing paths like checkout, where many variations (promo codes, payment methods) need to be validated with each update.

Visual AI for Dynamic Content Testing

AI-powered visual testing focuses on meaningful changes, helping to identify only the differences that impact user experience. Traditional test automation often flags minor layout shifts that don’t affect usability, leading to unnecessary noise. On the other hand, Visual AI detects layout issues that matter, minimizing false positives and simplifying testing for high-variance content.

Use Cases: Visual AI is particularly effective in handling promotional banners, personalized ads, and product recommendations. It ensures that these elements render correctly without producing redundant alerts.

Cross-Browser and Cross-Device Testing

Ensuring consistency across devices and browsers is crucial in ecommerce. Testing with a tool, teams can validate both functionality and appearance across multiple environments in parallel, enabling broader test coverage with significantly reduced runtime.

Tool Tip: For each release, use the Ultrafast Grid to run tests across all targeted browsers and devices simultaneously. By testing in parallel, you can catch visual and functional discrepancies early, ensuring consistent experiences across your audience’s preferred devices.

AI for Personalized and Edge Case Testing

AI-powered testing can adapt to personalized and localized content variations. This allows you to verify account-based and user-specific scenarios, like tailored recommendations, language translation, and geolocation-based offers. The AI dynamically generates test scenarios for real-world edge cases, validating content presentation, accuracy, and functionality across users.

A/B Testing and Experimentation

AI testing tools can run tests alongside A/B experiments to quickly validate different scenarios and identify potential issues without extensive setup or downtime. Integrated into CI/CD pipelines, AI can seamlessly support experimentation, allowing you to test new features or changes with agility.

Test Tip: Use AI for A/B testing by validating that both variations display correctly and function as expected. This can streamline experiment verification and minimize risk.

Accessibility Compliance with AI

Accessibility is key to ensuring inclusivity for all of your shoppers when you consider that 4.4% of the world’s population is colorblind. Even more shoppers have contrast sensitivity issues (we don’t know about you but some of us are just getting old). AI-driven testing identifies accessibility issues early, such as missing alt text, improper color contrast, and navigation difficulties. With accessibility testing integrated into automated pipelines, developers can confidently meet compliance requirements while optimizing the experience for users with disabilities.

Autonomous screenshot showing accessibility test for ecommerce application test

Step 3: Applying AI Testing in Real-World Ecommerce Scenarios

Ensuring that every scenario receives accurate validation across all paths and user types can be hard but your team can quickly improve test coverage by integrating AI into the below scenarios:

  • Multi-Path Checkout Testing
    AI testing tools validate complex checkout flows, including various payment methods, promo codes, and cart adjustments. This reduces the risk of abandoned carts due to broken checkout paths and ensures seamless user experiences.
  • Product Filtering and Sorting
    Filtering and sorting are essential for user navigation. AI testing validates the functionality and accuracy of filters by testing different combinations. This ensures the results match user criteria and display correctly.
  • Personalized Content Validation
    Personalized recommendations, banners, and product listings are critical for user engagement. AI-powered testing verifies that these elements display correctly based on user data, ensuring consistency without disrupting the layout.
Screenshot of Lowe's homepage with all personalized content identified

Step 4: Getting Started with AI-Powered Testing

To maximize the benefits of AI in ecommerce application testing, you can follow these best practices:

  • Integrate AI into your CI/CD Pipeline
    Embedding AI testing into the CI/CD process ensures that every change undergoes rigorous testing before reaching production. This allows for fast iteration and high-quality releases.
  • Prioritize Dynamic and High-Risk Areas
    Focus AI testing on paths that involve dynamic content, personalized features, and checkout flows. These areas tend to have the highest variance and the most critical impact on user experience.
  • Leverage Parallel Testing
    Run cross-platform tests in parallel to streamline testing cycles and get immediate insights into how changes impact various devices and browsers.
  • Use AI for Regression and Smoke Tests
    Routine regression and smoke testing can become resource-intensive. By automating these with AI, you free up resources for more complex testing, ensuring each release is stable.

To Wrap Up…

As AI becomes an integral part of the testing process you can shift your focus toward building new features and enhancing shopper experiences by maintaining a high standard of quality:

  • Reduced Manual Work and Faster Releases
    By automating repetitive tasks and handling edge cases, AI-powered testing allows QA teams to focus on high-impact scenarios, reducing time to market.
  • Increased Test Coverage and Accuracy
    AI’s ability to adapt to dynamic content and complex scenarios broadens test coverage and increases the accuracy of results, ultimately reducing production issues.
  • Adaptability to Ongoing Changes
    AI-powered testing lets ecommerce sites handle constant updates and seasonal changes without extensive reconfiguration so that shoppers have a seamless experience.

AI-powered testing is now an essential strategy for ecommerce test and dev teams to meet user expectations and stay competitive. You can try out these strategic steps with a free trial of Applitools Autonomous.

Quick Answers

What is AI-powered testing, and how does it help ecommerce applications?

AI-powered testing uses artificial intelligence to automate and streamline the testing process for ecommerce applications. It helps by reducing manual work, increasing test coverage, and enabling faster releases, ensuring a high-quality user experience across complex, dynamic platforms.

How does AI testing handle dynamic content on ecommerce sites?

AI testing tools, like Visual AI, detect meaningful changes in content rather than minor layout shifts. This approach reduces false positives and focuses on changes that impact user experience, making it ideal for handling elements like promotional banners and personalized recommendations.

Why is cross-platform testing important for ecommerce?

Ecommerce customers use a range of devices, so cross-platform testing ensures a consistent experience across mobile, desktop, and tablets. AI testing enables parallel testing across these environments, catching visual and functional issues early in the development cycle.

How can AI testing improve multi-step checkout flows?

AI-powered tools validate various scenarios within checkout flows, such as payment options and promo codes. By automating these tests, teams can quickly ensure that all variations work seamlessly, reducing the risk of issues that could lead to cart abandonment.

What role does AI play in testing personalized content?

AI adapts to personalized user experiences by validating content specific to each user, such as recommendations or location-based offers. This ensures that tailored elements render correctly and are consistent across different users and sessions.

Why is accessibility testing important in ecommerce, and how does AI help?

Accessibility is essential for inclusivity, ensuring that all users, including those with disabilities, can interact with the site. AI testing tools identify issues like low contrast, missing alt text, and navigation problems early, helping teams meet compliance standards and enhance the experience for all users.

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Test Automation Video Winter Roundup: September – December 2022 https://app14743.cloudwayssites.com/blog/test-automation-video-winter-roundup-september-december-2022/ Mon, 09 Jan 2023 18:35:00 +0000 https://app14743.cloudwayssites.com/?p=45499 Get all the latest test automation videos you need right here. All feature test automation experts sharing their knowledge and their stories.

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Applitools minions in winter

Check out the latest test automation videos from Applitools.

We hope you got to take time to rest, unplug, and spend time with your loved ones to finish out 2022 with gratitude. I have been incredibly appreciative of the learning opportunities and personal growth that 2022 offered. In reflection of our past quarter here at Applitools, we’ve curated our latest videos from some amazing speakers. If you missed any videos while away on holiday or finishing off tasks for the year, we’ve gathered the highlights for you in one spot.

ICYMI: Back in November, Andrew Knight (a.k.a. the Automation Panda) shared the top ten Test Automation University courses.

Cypress vs. Playwright: The Rematch

One of our most popular series is Let the Code Speak, where we compare testing frameworks in real examples. In our rematch of Let the Code Speak: Cypress vs. Playwright, Andrew Knight and Filip Hric dive deeper to how Cypress and Playwright work in practical projects. Quality Engineer Beth Marshall moderates this battle of testing frameworks while Andy and Filip explore comparisons of their respective testing frameworks in the areas of developer experience, finding selectors, reporting, and more.

Video preview of Cypress vs Playwright: The Rematch webinar

Automating Testing in a Component Library

Visual testing components allows teams to find bugs earlier, across a variety of browsers and viewports, by testing reused components in isolation. Software Engineering Manager David Lindley and Senior Software Engineer Ben Hudson joined us last year to detail how Vodafone introduced Applitools into its workflow to automate visual component testing. They also share the challenges and improvements they saw when automating their component testing.

Video preview of Automating Testing in a Component Library webinar

When to Shift Left, Move to Centre, and Go Right in Testing

Quality isn’t limited to the end of the development process, so testing should be kept in mind long before your app is built. Quality Advocate Millan Kaul offers actionable strategies and answers to questions about how to approach testing during different development phases and when you should or shouldn’t automate. Millan also shares real examples of how to do performance and security testing.

Video preview of When to Shift Left, Move Centre, and Go Right in Testing webinar

You, Me, and Accessibility: Empathy and Human-Centered Design Thinking

Inclusive design makes it easier for your customers with your varying needs and devices are able to use your product. Accessibility Advocate and Crema Test Engineer Erin Hess talks about the principles of accessible design, how empathy empowers teams and end users, and how to make accessibility more approachable to teams that are newer to it. This webinar is helpful all team members, whether you’re a designer, developer, tester, product owner, or customer advocate.

Video preview of You, Me, and Accessibility webinar

Erin also shared a recap along with the audience poll results in a follow-up blog post.

Future of Testing October 2022

Our October Future of Testing event was full of experts from SenseIT, Studylog, Meta, This Dot, EVERSANA, EVERFI, LAB Group, and our own speakers from Applitools. We covered test automation topics across ROI measurement, accessibility, testing at scale, and more. Andrew Knight, Director of Test Automation University, concludes the event with eight testing convictions inspired by Ukiyo-e Japanese woodblock prints. Check out the full Future of Testing October 2022 event library for all of the sessions.

Video preview of Future of Testing keynote

Skills and Strategies for New Test Managers

Being a good Test Manager is about more than just choosing the right tools for your team. EasyJet Test Manager Laveena Ramchandani shares what she has learned in her experience on how to succeed in QA leadership. Some of Laveena’s strategies include how to create a culture that values feedback and communication. This webinar is great for anyone looking to become a Test Manager or for anyone who has newly started the role.

Video preview of Skills and Strategies for New Test Managers

Ensuring a Reliable Digital Experience This Black Friday

With so much data and so many combinations of state, digital shopping experiences can be challenging to test. Senior Director of Product Marketing Dan Giordano talks about how to test your eCommerce application to prioritize coverage on the most important parts of your application. He also shares some common shopper personas to help you start putting together your own user scenarios. The live demo shows how AI-powered automated visual testing can help retail businesses in the areas of visual regression testing, accessibility testing, and multi-baseline testing for A/B experiments.

Video preview of Ensuring a Reliable Digital Experience webinar

Dan gave a recap and went a little deeper into eCommerce testing in a follow-up blog post.

Cypress, Playwright, Selenium, or WebdriverIO? Let the Engineers Speak!

Our popular Let the Code Speak webinar series focused primarily on differences in syntax and features, but it doesn’t really cover how these frameworks hold up in the long term. In our new Let the Engineers Speak webinar, we spoke with a panel of engineers from Mercari US, YOOBIC, Hilton, Q2, and Domino’s about how they use Cypress, Playwright, Selenium, and WebdriverIO in their day-to-day operations. Andrew Knight moderated as our panelists discussed what challenges they faced and if they ever switched from one framework to another. The webinar gives a great view into the factors that go into deciding what tool is right for the project.

Video preview of Let the Engineers Speak webinar

More on the way in 2023!

We’ve got even more great test automation content coming this year. Be sure to visit our upcoming events page to see what we have lined up.

Check out our on-demand video library for all of our past videos. If you have any favorite videos from this list or from 2022, you can let us know @Applitools. Happy testing!

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Ensuring a Reliable Digital Shopping Experience https://app14743.cloudwayssites.com/blog/ensuring-a-reliable-digital-shopping-experience/ Thu, 15 Dec 2022 17:34:53 +0000 https://app14743.cloudwayssites.com/?p=44927 Last month, we hosted a webinar about ensuring a reliable digital eCommerce experience for the holiday season. This blog post will expand upon what we talked about in the webinar....

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Sample digital shopping screens layered on top of each other

Last month, we hosted a webinar about ensuring a reliable digital eCommerce experience for the holiday season. This blog post will expand upon what we talked about in the webinar. In case you missed it, the webinar is available on-demand.

In this blog, we’ll talk about:

  • Challenges of frontend testing eCommerce apps
  • Methods for frontend testing
  • Shopper personas and how to test for them
  • How Applitools helps test eCommerce apps

Challenges of frontend testing eCommerce apps

Traditional testing methods don’t always test your eCommerce applications in the same way that your customers shop. Properly capturing user scenarios based on how customers behave in your app is challenging, and writing stable tests that properly test these scenarios scale is tedious and can slow releases.

Data-rich testing scenarios

There’s a lot of data involved in eCommerce apps – product data, user data, app state, and so many different combinations of this data for different users as they shop in your virtual store. All of this data creates a lot of different potential user paths and testing scenarios to cover the different combinations of states based on product information and buyer information.

Multi-screen browsing

Shoppers may be on different browsers, on desktop or different mobile devices, or even using them in tandem to find the product they want – finding the product on their mobile device but completing the purchase on their laptop. A truly omnichannel experience requires that your app looks good and works on every combination of these screen sizes and operating systems.

A/B experimentation

Experimenting with the look and feel of your app can increase conversions and purchase. This puts a lot of pressure on QA to ensure the A/B experiments are properly tested, but these experiments often have complex logic on their own. And to test these A/B experiments, the test will have to mimic the complex experiment logic and understand the context of  the situation. Your product team is doing the work of a permanent test case for an experiment that may be fleeting and not in production for long if it fails.

Localization

There are a lot of global markets and vendors that sell online in many different countries across many different languages. Testing the languages supported is not only a requirement but also a challenge. Building the test cases and resourcing the right people who can test the implemented languages in context takes a lot of time and specific skill sets. To multiply the challenge, each time we add a language, we need to create and maintain new tests across browsers.

Post-production content

Your product or marketing teams may be updating or adding content that enters the app outside of the development process through a CMS, or analysts may be entering information about a new product into an ERP system. Something like adding a new headline or a new percentage to a product may truncate on a smaller screen, going from one line to two lines, which affect spacing elsewhere on the screen or even overlap onto other elements. You’ll need to create a set of tests that are able to be flexibly kicked off and monitored across small aspects of the content that may change without triggering a CI/CD build when changed.

Customer-generated content

Customer-generated content like reviews and product photos are not going to be in your development pipeline. With post-production content, you may have a style guide or requirements for copy and images, but customers aren’t adhering to a style guide. Ensuring that the content appears correctly within your templates for this content is important, and setting character limits and image resolution requirements can keep this content more consistent.

Methods for frontend testing

The traditional way to test frontend functionality includes hundreds of assertions of what the app should do in what we deem are the most important aspects of the experience – like product labels, buy-now buttons, or add-to-cart buttons. Even just testing the priority aspects of your app with these assertions creates technical debt, as things change and tests need to be maintained.

Sample code for a test for an eCommerce site
Pseudocode of functional assertions on an eCommerce homepage

Common methods for frontend testing

We are big believers in doing testing in a layered approach to provide proper coverage of your app. No one way of testing can cover everything. Here are some common methods to include in frontend testing your eCommerce app or website.

Component testing

Component testing is essentially atomic unit tests on components of your frontend. Due to the repeated nature of eCommerce apps – with elements being used across product pages and category pages – testing components of a design system can save a lot of time over checking assertions for individual elements. These components still lack context of the entire application, which leaves room for errors to occur when these components are together in production.

Smoke testing

There’s a lot you can do from a validation standpoint for the web both locally and in test environments to continually make sure that all of your products are showing up. Smoke testing consists of fast tests that validate that the app is able to run without failure, missing bugs that aren’t mission critical. This can include simple crawling of URLs to make sure that they don’t return an error or that uniquely created query parameters are getting created as expected. These tests are the fastest way to get quick uptime coverage for multi-page application e-commerce sites.

End-to-end testing

A common final approach in testing is end-to-end testing around specific scenarios, but even those have challenges. You have to experience end-to-end scenarios to understand them, which means that you’re only able to test for what you know. There may be common bugs that come up in customer tickets or problem areas that you see a lot in QA tickets during your sprints. We can only run so many scenario tests, so you need to take time to establish testing priorities.

Test prioritization

When it comes to prioritizing what to test, it can help to follow the Pareto principle, where 80% of the consequences come from 20% of the causes. This means that you want to test the most impactful aspects of your eCommerce experience to cover the most impact. By this principle, around 20% of your templates are going to drive 80% of your actual revenue, so it’s really important to prioritize the most important 20% of your app or website.

Sample eCommerce product page
Product page
Sample eCommerce category page
Category page
Sample eCommerce check-out page
Check-out page

For eCommerce, the most important parts of the app revolve around things like the:

  • Home page: Unless your customer followed a direct link through social or paid media, the home page is likely the landing page for most of your customers. The home page is where you’ll get much of your traffic, so your homepage needs to be on brand and working properly.
  • Category pages: Category pages are a chance for you to help guide your customers to what they want. These pages often build off templates for navigational consistency for users, so layout testing is an important part of covering these pages.
  • Individual pages: Individual product pages are the most numerous, but when you’re using a design system with components, they’re going to be very common in nature. Like category pages, they are often built from templates and layout testing is key.
  • Shopping cart: Your users may be browsing your site as they shop, so you need to test that cart data is maintained as a customer traverses the site. Your checkout system is where your users finalize their purchase, so if something goes wrong with it, you lose a sale.
  • Search and filtering: A lot of customers will browse items by key words or filter by specific attributes, so making sure that your product metadata is tested can ensure the products show up in these results.

You start to see that you’re testing a lot of the same things. You just need to make sure that you can either use data-driven testing to make sure you’re getting the most scenarios or cross-browser testing of the most important parts across all the experiences that an end user is getting. Visual testing can kind of combine all those aspects – templated pages, localization, cross-browser testing – all at the same time in a much faster way.

A framework for ensuring proper test coverage

With eCommerce being more accessible than ever, more people are shopping online, which brings in different kinds of user behavior. We’ve put together a few different shopper personas that cover some of this user behavior. These personas help us research and design test cases that better match how customers interact with an eCommerce app.

The Peruser

These shoppers browse items and pages before purchasing. You can potentially see this trend of users through the pages per visit. These shoppers use categories and filters to find items. They may have multiple tabs of their browser open to different pages of your site or web app.

How do you test for them?

  • Ensure metadata is connected: Filtering and categorization of products depends heavily on metadata. If any product listing is missing a tag or has an incorrect tag, it won’t show up for a customer and you may miss out on a sale.
  • Test your app in multiple states of filtering and search: Filter menus, drop-downs, and autocomplete in search bars can change the way that application looks. You need to make sure that web elements appear where they should as UI states change.
  • Use longer, end-to-end scenarios: Make sure that data carries over correctly between pages and user interactions. Test every page of your app in every UI state you can to emulate how your customer may go through your site.

The Social Buyer

These shoppers are brought in from social ads, paid media, or nurture emails. You can potentially see this trend of users who come in with referral cookies or through tracked links. These shoppers interact with paid ads in your app, and they find other products on your site through internal ads. They give product ratings and write reviews for other shoppers.

How do you test for them?

  • Test experiences like pop-ups upon landing: Some parts of your app or site may only be shown to first-time visitors or users who have been on the site for a certain amount of time. The timing and presentation of these pop-ups needs to 
  • Test with referral cookies: Monitoring customer interactions through referral cookies gives you insights into user behavior and tracks where your app is getting its traffic from. Testing that these cookies are properly tracked ensures you’re getting accurate insights.
  • Use multiple mobile screens: Visual elements may have different sizes or locations on a different screen size. Test your app or site across multiple breakpoints to accommodate any device your customers may be using to shop.

The Slow Poke

These shoppers take their time making their decision. They may take days between first viewing a product and purchasing, revisiting the site or app. This revisiting may even be on different devices and browsers to view the site when they visit the site or app.

How do you test for them?

  • Test your app across different browsers and devices: Elements can behave or render differently in different browsers or operating systems. Test your app in different browsers and on different emulated or real devices to ensure your app works and looks right.
  • Test shopping cart functionality based on cookies: Make sure your shopping cart maintains the correct products and information while the user continues shopping. If a user comes back a few days later to finalize their order, not having a functioning cart could lose you sales.

A faster way to test: Visual testing

Visual testing captures screenshots of your app at various stages and compares them to known baselines to catch unexpected visual changes. Adding this approach to your testing pipeline speeds up your frontend testing by giving you a way to test entire screens at a time, instead of individual components with individual assertions.

While visual testing allows us to cover aspects of functional testing with less code, using visual AI will unlock even more test automation capabilities like:

  • Cross-browser testing
  • Account balances
  • Mobile device status bars
  • News content
  • Ad content
  • User-submitted content
  • Suggested content
  • Notification icons
  • Content shifts
  • Mouse hovers
  • Cursors
  • Anti-aliasing settings
  • Browser upgrades

To learn more about visual testing, read our Enhance your testing strategy with visual testing two-pager. Now that we’ve covered different methods of testing frontends, we’ll go into a few different types of users to keep in mind when testing your eCommerce app or website.

How Applitools helps test eCommerce apps

Applitools is a test automation platform that uses AI to help teams ship flawless digital experiences without the hassle of the traditional testing practices.

With Applitools Eyes and our next-gen testing cloud, Ultrafast Grid, developers and QA engineers can run tests to quickly validate frontend functionality, accessibility, and visual correctness with unprecedented speed and accuracy.

Simplified UI of intelligent comparison of.an eCommerce site in Applitools Eyes
Intelligent comparison of dynamic content

Applitools enables you to test for dynamic content, but also unlock a variety of AI-powered visual testing capabilities:

  • Visual regression testing: As your digital storefront changes, Applitools Eyes captures screenshots across browsers and devices and compares them to a previously accepted baseline image of your app. Visual AI in Eyes enables you to test layouts and dynamic content, ignore colors, and ignore specific regions of pages or test specifics with customizable match levels.
  • Cross-browser testing: Applitools AI-powered automated visual testing can test visual elements across OS, browser, orientation, and resolution combinations. Just running the first baseline rendering and functional test on a single combination is sufficient to test results across the range of potential platforms.
  • Automated analysis: Teams can save time with auto-grouping when testing across different browsers, devices, or screen sizes. Auto-grouping will show something like a missing navigation item as one singular bug.
  • Automated maintenance: Auto-maintenance automates the creation of new baselines or failure status across the same groupings created by our auto-grouping feature. Auto-maintenance also enables users to set granular controls over what gets updated automatically between checkpoints, test runs, and more.
  • Root cause analysis: When unexpected changes do occur on your site, root cause analysis helps teams pinpoint exactly what changed in the DOM. It surfaces the exact difference in DOM elements based on visual changes – eliminating back and forth hunting down bugs.
  • Multi-baseline testing: Applitools Eyes supports visual testing of applications that are undergoing A/B testing by allowing checkpoints to be matched against a baseline that includes multiple variations of the baseline image per checkpoint.
  • Accessibility testing: Applitools Contrast Advisor seamlessly integrates into your Applitools Eyes test automation workflow to let you instantly see how well your application complies with WCAG color contrast guidelines – you don’t even need to re-run existing tests.

The live demo in the webinar covered visual regression testing, accessibility testing, and multi-baseline testing. To check out the live demo of using Applitools Eyes to test an eCommerce site, you can view the on-demand webinar. If you’re ready to try it yourself, you can create a free account or reach out to our sales team. Happy testing!

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