How do chatbots really work?
According to Mindshare, 63% of consumers would consider using a chatbot when visiting a business or brand’s website. Chatbots.org, an online site that keeps up with the number and types of chatbots around the world, reports that there are approximately 1,374 currently in use.
Why is chatbot technology suddenly so popular and why are more and more chatbots popping up on the web and in mobile apps? A big reason for the spike in popularity is the addition of Artificial Intelligence to chat applications.
One of the main AI chatbot advantages is that it is able to deliver instant gratification. People would much rather chat online than take the time to call a company’s 800-number. Another one of the top AI chatbot benefits is that the technology delivers higher user engagement and conversion rates. Plus, AI-based chatbot features allow businesses to provide 24/7 support for their customers.
Chatbots can also increase revenue by suggesting additional products based on a shopper’s previous browsing activity. This technology is a win-win for consumers and businesses alike.
The AI chatbot: How it works
A bot is simply a computer software program that is designed to perform routine automated tasks. It is designed specifically to interact – or “chat” with – a human being through a web or mobile application.
When Artificial Intelligence programming is added to chat software, it helps the bot become more human-like. Bots utilize a database of information and pattern matching along with AI chatbot deep learning, machine learning, and natural language processing (NLP).
The chat program will look at previous conversations and documentation from customer support reps in the knowledge base to find similar text groupings corresponding to the original inquiry. It will then present the most appropriate answer according to specific AI chatbot algorithms.
Machine learning and deep learning in AI chatbots
Machine learning is the phrase used to describe how a computer can receive data, analyze and interpret that data to identify certain patterns, and then use that analysis to make the best logical decisions without input from a human operator.
A chatbot learns simply by recognizing repetitive patterns during conversations it has with humans combined with pre-determined chat scripts and a database of answers for responses. The more the program operates, the more it “learns” from the database and the more intelligent the chatbot becomes.
Natural language processing in AI chatbots
In the middle of AI chatbot, architecture is the Natural Language Processing (NLP) layer. Natural Language Processing is how the computer programs translate and mimic human conversation. It does this through predictive and sentiment analysis along with text classifications.
Predictive analytics combines big data, modeling, artificial intelligence, and machine learning in order to make more precise predictions about future events. Sentiment analysis explores the context of a situation in order to make a subjective determination. Specifically, as it relates to chatbot technology, a sentiment analysis can determine what a user “really means” when they type in a certain phrase or perhaps make a common spelling or grammatical mistake.
Text classifications allow NLP to understand human language – including phrasing, intent, colloquialisms, etc. – and respond in kind through chat, text, or voice messaging.
All of these technologies work together seamlessly behind the facade of the chatbot in order to provide such a natural flow of messaging conversation that the user really doesn’t know they are talking to a machine.
What’s the best programming language for an AI chatbot?
Python. Python is currently the most popular language for creating an AI chatbot, as most developers find it extremely easy to learn and work with. It’s also the best choice for natural language processing, as the initial Natural Language Toolkit (NLTK) was written in Python.
Java. Since AI programming is based on the use of algorithms, Java is also a good choice for chatbot development. Java features a standard Widget toolkit that makes it faster and easier to both build and test bot applications.
PHP. If you’re looking to create a chatbot that can run on any platform, PHP is the right choice. It’s also popular due to the fact that it’s cheaper to use since it’s open-source and there is a plethora of libraries to choose from.
There are several other languages you can use as well, including Ruby, C++, and Clojure. In the end, the language you choose to develop your chatbot application will depend primarily on the development team that is doing the programming and what they are most comfortable working with.
Chatbots are the new “contact us” links for business pages. They are the preferred method in which your customers want to communicate with you. If you don’t currently have a chat option, you’re already way behind the curve.
We live in an instant gratification and increasingly automated world. Gartner predicts that 85% of all customer interactions will be automated by 2020. Consumers have grown to expect an even faster, even more, personalized shopping or browsing experience. If you want to grab and hold their attention (and their loyalty), you need to be actively “chatting” them up.
Do you need help building an AI chatbot for your business? Give us a shout! Or you can use our chat function for assistance! Our devs know everything there is to know about artificial intelligence and chat technology. We’ll help you stay several steps ahead of the competition.