Amazon didn’t look the way it does today.
Apart from transforming their operations, strategic customer acquisition and retention plans, the company has invested in large scale product recommendation engines, improving user experience, and now a newly invented Dash Cart that allows shoppers to shop without visiting a retailer.
This has benefitted the company in many ways. Most importantly, in sales. According to a McKinsey report, 35% of Amazon sales are made through the recommendation engine. Recommendation engines are a simple form of artificial intelligence that assists online shoppers on Amazon’s website to discover new products, increasing chances of sales. The recommendation engine is built on item-to-item collaborative filtering algorithm that compares a shopper’s own past purchases and other shoppers’ purchases to recommend products that a customer can buy.
This is one example of how artificial intelligence is helping companies build better websites. The influence of artificial intelligence is everywhere… so no surprise that web development would be left untouched.
Artificial Intelligence in Web Development
Transforming UI (user interface) development
One of the crucial aspects of web development is the user interface. Building the user interface of the website/ mobile app is a long process. It starts with prototyping on a whiteboard with collaboration among multiple stakeholders. A typical UI design process looks like this:
White boarding / hand drawing/ doodling à Wireframing à UI development.
It can take a month to come up with a prototype for a website design. Using artificial intelligence, reduces this time. With AI in place, the process is reduced to:
White boarding à UI development
Convolutional neural networks (CNN) can recognizing objects in an image (recognition)
and LSTM (Long Short Term Memory) turns images into sentences (image captioning). Together, these can translate a design into code, meaning a rough sketch (image ) can be converted to UI code. This is one way how AI experts are trying to transform web development.
Naturally, this will save developer a lot time and eradicates the time spent on trivial and repetitive tasks. Plus, the barriers to entry into UI development will get very low. Older people with no experience will turn into user interface developer; Will go from stay-at-home people to UI developers in a snap.
Voice Search Optimization
Optimizing websites for voice searches is a top priority for companies. The advent of virtual assistants (Siri, Cortana, Alexa, Google Home) has arisen voice searches.
According to AI engineers equipped with NLP, language processing projects that demand to make their websites more voice search-friendly have increased. According to a report 30% of all searches are made on voice and this percentage is increasing consistently. AI engineers lend their expertise in NLP to optimize the website and make them search –friendly. Knowing that grocery shopping accounts for more than 20% of voice-based orders, e-commerce companies are now making amends to their website.
Voice-based shopping is expected to jump to $40 billion in 2022, thus artificial intelligence will play a big role in securing a piece of this spending. This will also be a time when AI experts are held directly responsible for revenue generation.
Good user experience is a metric of success for online businesses. However, very few measure this experience. If a visitor doesn’t see the right information on the website, they are most likely to leave. According to a report, a visitor takes 0.5 seconds to judge a website’s reputation. Chatbots have become an incredible tool to improve user experience and retain and engage online visitors.
On one hand, chatbots, are delivering customer service for existing customers. In website development, chatbots improve user experience for new customers by providing information right at not-so-hard-to-find-position on a website, improving user experience.
For instance, Sephora’s chatbot interacts with customers to understand their requirements. Based on their answers, the bot recommends products, skin care tips, and make up related tips. Similarly, HDFC bank’s bot Eva – first banking bot, handles more than 50k banking related queries. The bot manages to talk to 20k customers worldwide and answer their questions with nearly 85% accuracy. Chatbots are a novel invention of AI experts, which are improving user experience.
A Zion Market Research estimates the chatbots market share will be close to $2166.28 million by the end of 2024. AI chatbots are reaching maturity and are likely to become a fixture on almost every website in the near future. So, if you want to stay in demand, consider learning to implement an AI-based chatbot while developing a website. Gaining some knowledge on natural language processing, deep learning, and machine learning can help you get this through if you plan to build your own bot.
AI recommendation tools and optimization
Various global ecommerce and local websites have recommendation engines that use social evidence to impact sales. These recommendation tools provide suggestions to online customers on what to buy. These engines can use customer’s history and produce suggestions based on related pursuits. Netflix, for instance, uses AI to deal with its offerings by demonstrating results dependent on the viewer’s inclinations and determinations made by comparative profiled viewers. 80% of Netflix’s spilling is done because of AI suggestions.
With a plethora of online services coming up, AI experts can be regarded as true user experience designers for the web.