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How Modern E-Commerce Websites Are Built?
How modern e-commerce websites are built for speed and UX: service worker caching, lean webpack bundles, image loading, PWAs, and AI shopping agents.
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Modern e-commerce websites are built for fast page loads, a clear UI and UX, and offline-capable progressive web app features, then tested across browsers and devices. Teams doing eCommerce website development cache assets with service workers, shrink JavaScript bundles with webpack, and load product images on demand. This guide covers speed, UI and UX, progressive web apps, AI shopping agents, and testing your modern website.
Key Takeaways
- Modern e-commerce websites are built for fast page loads, a clear UI and UX, progressive web app features, and cross-browser compatibility.
- Google's Core Web Vitals treat a Largest Contentful Paint within 2.5 seconds as a good loading experience for any web page.
- Service workers cache images, API data and other resources, and every major browser has supported service workers since April 2018.
- Webpack tree shaking removes unused JavaScript and CSS from bundles, so shoppers download less code on each page.
- An existing e-commerce site can add a service worker without being rebuilt from scratch as a progressive web app.
- AI shopping agents read structured product data and call checkout APIs, so online stores now build for software buyers as well as human shoppers.
SPEED
Google's Core Web Vitals define a good loading experience as a Largest Contentful Paint (LCP) within 2.5 seconds of the page starting to load. Therefore while developing user centric sites it becomes extremely important that your website load time should be less, and it is one of the biggest hurdle in the trade.

These websites have such a plethora of back-end data that makes the integration of all the components of site to be slow. Great deal of traffic makes complicates the matter further. Now there are multiple ways which you can use to increase the page speed that include compressions, reducing resources, optimizing images, optimizing delivery, caching etc. and it would take a whole to discuss all possible solutions. We however are going to look more into easiest and greatest of the them, like Caching and Webpack.
Caching
Visiting a site can be compared to dominos falling, your request is accepted by the browser which in turn checks if the cache is present. If present it sends the cache data to the user otherwise it fetches the necessary resources from link servers. Latest browsers provide a lot of support when cache comes into the equation.
Almost all the major e-commerce websites use Service Worker (SW) for caching different chunks of information based on the variety of resources such as images, API data etc. Myntra specifically started SW implementation right from the start.

When these sites adopted SW caching with sw-toolbox (since replaced by Google's Workbox library), browsers like Safari and UC Browser did not yet support SW, so local storage was used for caching as a fallback. Service workers have been available across major browsers since April 2018, so the local storage fallback now matters only for very old browsers.
In fact one of the main motivation behind developing TestMu AI was to develop a cross browser testing platform where you can test if your website caching works as intended. Caching did provide these sites with untapped speed but along with it came whole set of problems. The biggest problem being reducing and compressing the bundles (HTML, CSS & JS) to ensure fast loading of web pages.
Webpack
Webpack single handedly solved a lot of problems. Using this technique, websites were able to compress their bundles more efficiently. Webpack had too many benefits, and along with an integrated webpack analyzer within build systems, it helped in keeping a close eye on the size of bundles. Another perk was being able fix size immediately instead of waiting for the end of development.
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Tresshaking is an adored feature of webpack, which greatly helped in automatic curbing of the unused JS and CSS parts in the bundles. JS developers most of the times use large libraries most of the part remain unused. Treeshaking efficiently eliminated that part to compress the bundle size even further. Webpack complements Babel to eliminate discrepancies generated due to ES6/5 browser support. The whole process of transpiling becomes faster when Webpack enters into the equation.
UI & UX
Combined they can make or break your dreams of being successful e-commerce website. It is true that a simple UI is more efficient but there has to be ‘something unique’ attached to it. While designing your website it is of utmost importance that you keep in mind the sea of data lying in the back-end. The UI must not hinder website’s loading time (which it usually does).

Custom Web Fonts (Ebay)
Ebay wanted to make custom web fonts to attract more users to their website, in doing so they suffered numerous obstacles. Making the web font was quite easy, it was integration that raised concerns. Normal system fonts were easy and quick to execute but with custom fonts came the responsibility of delivering unique UI. The first problem was of course performance as now the CSS bundle was increased, but somehow they managed it. Secondly, FOUT (Flash Of Unstyled Text) and FOIT(Flash Of Invisible Text) exposed the problems with various browsers not supporting such fonts or lacking the support for such advances.
To solve the issue company came with the strategy of providing the system fonts to the user when he visits the website for the first time and then on the second visit (cache present) treating him with the web fonts. Also to counter the browser issue, CSS Font rendering was proposed in which a new @fontface descriptor named Font-display was added. Tiny inline CSS and JS snippet was smuggled into the header and footer to incorporate font decoder logic. While parsing the data Font-display flag is checked and if absent the API support is saved in the cache and if the browser support is absent then it is stored in the local storage for further usage.
Image Parsing
Images are among the heaviest assets on most web pages. E-commerce websites are image driven. You don’t buy a product that you can’t see, utmost priority is given to the images. They have high resolution images that need to be shown to the users, posing yet another hindrance. The introduction of SVG (Scalable Vector Graphics) for icons and logos, instead of the normal png formats, to some extent relieved the servers. The size of svg files is extremely less when compared to the normal png files, making it easier for the images to be parsed into the component code.

Sometimes when you click on a product and there is a very low res greyish image that gradually becomes the high resolution image of your product, that is another advancement called Lazy loading. Lazy loading is basically ‘on demand’ loading where the object is broken into parts and loaded whenever the user may want it. It helps a lot by easing up on the initial load.
Customer Satisfaction
Customer is the god that you have to impress by deploying your tactics. People prefer a website which offers a more interactive UI. For instance, in an e-commerce site the search bar optimization becomes the key aspect which user looks for. Both Flipkart and Amazon has great searchbar experience but Flipkart breakdowns your search product in more categories. Now relevance plays the next part, almost all these websites have infinite scrolling. The product details, images, reviews etc play very great role in defining and setting the standards.
PROGRESSIVE WEB APPS
It is assumed that to use SW you need to build your site from scratch as a PWA, such is not the case. A progressive web app lets a web store compete with native apps: it can be installed to the home screen and can work offline through a service worker. E-commerce companies such as Flipkart and AliExpress have launched PWAs. To know more about PWA refer to the blog on PWA.
How Do AI Shopping Agents Change the Way E-commerce Sites Are Built?
AI shopping agents add a second audience to a store: software that reads product data and completes checkout on a shopper's behalf. Teams that build for AI agents for ecommerce now expose clean product data and agent-ready checkout endpoints alongside the pages people see.
- Structured product data: Schema.org Product markup gives an agent the name, price and availability of an item without parsing the page layout.
- Agentic Commerce Protocol: OpenAI and Stripe maintain the Agentic Commerce Protocol, an Apache 2.0 open standard with specifications for checkout and delegated payment endpoints.
- Model Context Protocol servers: An MCP server exposes store actions such as catalog search and add-to-cart as tools that an AI assistant can call directly.
- Bot detection rules: A firewall rule that blocks all automated traffic also blocks legitimate shopping agents, so the rules need to tell the two apart.
- Agent checkout testing: QA teams test the product feed and checkout API that an agent uses, not only the pages a human clicks through.
Speed and accuracy still decide the sale. A slow product API or a wrong price in the product feed stops an agent's purchase the same way a slow page stops a shopper.
TESTING YOUR MODERN WEBSITE
Time is money, when it comes to e-commerce. Your website should work on all the browsers and all the devices. Many shoppers browse and buy on mobile phones, which makes it a priority for websites to work on mobile platforms. Responsive testing becomes crucial as there are high chances that your site mapping may vary on different devices. We at TestMu AI, equip you with tools like responsive screenshot, real-time browser test to check if your site behaves properly. Any anomaly in UI can be detected and marked by our visual UI testing. With TestMu AI you can easily keep track of your website’s testing and even bug tracking has been reduced to only one click. No matter what kind of project management tools, we provide integration for it. Check out TestMu AI, subscribe for free and let us make testing easier for you.
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