Generative AI is set to play a pivotal role in the future of web design, especially as the eCommerce sector grows increasingly demanding. Personalisation is now a high-demand feature, and site developers must be prepared to adapt their site structures to align with seasonal trends and evolving preferences.
This is where artificial intelligence steps in, streamlining web design for beginners and powering a new generation of e-commerce websites.
Automated Template Generation
A significant development in the world of machine learning is AI-generated web templates. Previously a time-consuming process, it is now a creative and straightforward affair. AI algorithms are providing design suggestions, customisable layouts, and branding advice for web designers and developers.
AI saves business leaders valuable time when constructing their online stores. For example, image-based generators like DALL-E now take detailed web design prompts, including colours, content objectives, and competitor data, offering a plethora of suggestions.
While website design typically involves numerous design iterations, coding, and UX mapping, AI templates eliminate the need to start from scratch, affording designers more time for customisation and content creation. Additionally, AI website templates allow for plentiful customisation.
AI-Generated Content Creation
Creating content for a website can be a time-consuming process. Whether it’s enhancing blog posts or crafting original site graphics, leveraging generative AI tools like ChatGPT and Jasper is crucial to keep up with the fast-paced eCommerce landscape.
While maintaining a human presence in the content creation process is vital, online store owners can use AI to tackle complex content tasks that are typically time consuming.
Ultimate UX Optimisation
AI also plays a crucial role in optimising website UX. By analysing user data and behaviour, AI tools can identify low-traffic areas and UX deficiencies.
AI-driven UX design aims to create interfaces that are more intuitive, personalised, and responsive. It involves utilising machine learning algorithms to analyse user data, behaviour, and preferences to craft enhanced UX.
Some AI web builders offer in-depth UX analysis of specific site pages, identifying areas of user attention and low traffic. By addressing UX issues promptly, site developers can prioritise seamless design.