Chatbots and AI in Web App Development
Emerging computer technologies become more customer-driven. Developers make them more interactive and conversational. One of the recent trends is to use AI-based chatbots in web application development. They change the way customers browse and interact with web apps. Instead of step-by-step website navigation, users can satisfy their search queries in a friendly conversation with a chatbot. And Artificial Intelligence (AI) technology makes their experience even more personalized and smoother.
Many web app solutions empowered by AI and smart chatbots, improve their search procedures, helpdesk support, and app navigation, making them less tedious, simpler to manage, and more customized. All these help attract and retain more customers, enhance companies’ popularity, and increase their revenue.
Why Should Developers and Designers Care about the Bot Era?
More and more businesses decide to incorporate chatbots in their app. According to the Grand View Research company, the global chatbot market will reach $1.25 billion by 2025 with CAGR at 24.3%, in comparison to only $190.8 million in 2016. This considerable growth is explained by continuous innovations in AI and Machine learning technologies for chatbot development.
Such well-known companies as Google, Microsoft, IBM, Amazon, and Facebook have already introduced a number of open-source chatbot development platforms, building tools, and frameworks. Thus, they are worth including in web developers’ tech stack.
Let’s have a look at the most popular frameworks and platforms for building chatbots:
Dialogflow represents a conversational platform supported by Google. It allows building chatbots and voice apps for the most popular virtual digital assistants like Google Actions and Amazon’s Alexa.
On this platform, web developers can build voice and text-based solutions on more than 20 natural languages that support Facebook Messenger, Slack, Skype, Telegram, Twitter, Viber, and many others.
Dialogflow allows software developers to build omnichannel chatbots that can be integrated into web apps using REST API.
Microsoft Bot Framework
Microsoft Bot Framework helps web developers build chatbots for web apps and integrate them with Skype, Microsoft Teams, Facebook Messenger, Slack, and others. The framework has 2 key elements that allow building chatbots fast and simply – Bot Builder SDK and Bot Connectors.
Amazon Lex is another platform for building conversational interfaces that are available in text and voice formats. Amazon Lex provides web developers with the technologies that are used for deep learning implemented in Amazon Alexa.
The Amazon service facilitates building solutions with high-quality speech recognition and natural language understanding. Moreover, this platform is easy to scale and its solutions can be deployed right from the Amazon Lex console into any messaging platforms like Facebook Messenger, Kik, Slack, and others.
How Bots Will Change Web Interactions
To understand how chatbots will change web interaction, let’s first analyze their current state. Typically users enter their requests into Google, get a pile of search results, go through them, and find what they’re looking for. This procedure can be time-consuming and monotonous.
Chatbots help users avoid most of the steps outlined above as all navigational elements are replaced by an ordinary conversation. Users usually start these conversations with a request and then a chatbot starts asking questions to specify the search result. This type of research is more humanized and user-friendly.
Chatbots are widely used in:
- e-commerce, assisting users in searching for the needed products;
- help desk support to provide users with the answers on emerging issues;
- banking for paying bills, checking card balances, and more;
- entertainment for engaging customers in everyday conversations, like movies and weather discussions;
- surveys to collect customers’ feedback;
- healthcare when users need quick responses on how to behave in the situations of emergency;
- education when chatbots ask questions or share facts on various topics, and much more.
Now, there is no need to switch between web pages or use filters to sort out the data. Chatbots can offer various services listed above inside one window, by just asking a few questions.
Moreover, users don’t need to bother downloading any special apps to use different chatbots. All of them can be gathered in one app like Telegram or Kik that have a wide range of bots for users to search and communicate with. All that users need to do is to search for a brand, service, or a company and start chatting as if they are talking to their friends on a messenger.
Artificial Intelligence in Web Development
Artificial Intelligence (AI) is considered to be the most significant trend in the digital world. It provides a basis for the development of the most prominent digital technologies such as IoT, Machine Learning, Big Data processing, virtual assistants, and chatbots. The rise of AI helps these technologies to evolve fast and web developers can effectively implement them in various spheres.
AI has become quickly commercialized. Google and Facebook have already started developing and offering web developers ready-made natural language processing and machine learning functionalities.
Why Implement AI in Web Development?
AI underlies the latest and advanced digital technologies and it can be adopted for web solutions in many ways. Let’s have a look at how you can implement AI for your web app development.
- Digital assistants and chatbots
AI together with Machine learning enables voice-based and text-based bots to learn. It means that over time after multiple interactions with customers, they can solve the same problem in various ways, adapting better to the user requests.
- Improved SEO
AI can process big amounts of data and provide web engineers with the best Search Engine Optimization (SEO) techniques. For example, AI can notify web developers about issues in website architecture, suggest corrections in web content and ideas on how to improve the current situation.
- Test automation
With AI algorithms web developers can automate routine tests and auto-run them to ensure that a web app works properly. Besides that, AI can perform predictive maintenance when a program notifies web developers about probable software issues.
These are just some most widespread examples of how to implement Artificial Intelligence in web development.
The Future of Chatbots and AI in Web App Development
Artificial Intelligence influences the development of many technological trends, including text-based chatbots and voice digital assistants. All rolled in one revolutionize how we as customers interact with the web. Now, we don’t need to scroll through piles of search results, neither use filtering systems, chatbots do this work for us in a smooth conversation.
Besides chatbots, AI can be useful for web app development in many other ways such as improved SEO, personalized search systems, and many more. All these solutions together with chatbots make web apps more conversational, personalized, and intellectually empowered.
However, to implement AI and chatbots in web apps effectively, web developers need to learn how to use AI concepts properly. Therefore, when searching for a company to build your web app, you need to consider highly-qualified experts in this field.