Let’s take a weather chat bot as an example to examine the capabilities of Scripted and Structured chatbots. The question “Will it rain on Sunday?” can be easily answered. However, if there is no programming for the question “Will I need an umbrella on Sunday?” then the query will not be understood by the chat bot. This is the common limitation with scripted and structured chatbots. However, in all cases, a conversational bot can only be as intelligent as the programming it has been given.
Social networking bots are sets of algorithms that take on the duties of repetitive sets of instructions in order to establish a service or connection among social networking users. Various designs of networking bots vary from chat bots, algorithms designed to converse with a human user, to social bots, algorithms designed to mimic human behaviors to converse with behavioral patterns similar to that of a human user. The history of social botting can be traced back to Alan Turing in the 1950s and his vision of designing sets of instructional code that passes the Turing test. From 1964 to 1966, ELIZA, a natural language processing computer program created by Joseph Weizenbaum, is an early indicator of artificial intelligence algorithms that inspired computer programmers to design tasked programs that can match behavior patterns to their sets of instruction. As a result, natural language processing has become an influencing factor to the development of artificial intelligence and social bots as innovative technological advancements are made alongside the progression of the mass spreading of information and thought on social media websites.
According to the Journal of Medical Internet Research, "Chatbots are [...] increasingly used in particular for mental health applications, prevention and behavior change applications (such as smoking cessation or physical activity interventions).".[48] They have been shown to serve as a cost-effective and accessible therapeutic agents for indications such as depression and anxiety.[49] A conversational agent called Woebot has been shown to significantly reduce depression in young adults.[50]
Chatbots can perform a range of simple transactions. Telegram bots let users transfer money, buy train tickets, book hotel rooms, and more. AI chatbots are especially sought-after in the retail industry. WholeFoods, a healthy food store chain in the US, uses a chatbot to help customers find the nearest store. The 1-800-Flowers chatbot lets customers order flowers and gifts. In the image below, you can see more ways you might use AI chatbots for your business.
The market shapes customer behavior. Gartner predicts that “40% of mobile interactions will be managed by smart agents by 2020.” Every single business out there today either has a chatbot already or is considering one. 30% of customers expect to see a live chat option on your website. Three out of 10 consumers would give up phone calls to use messaging. As more and more customers begin expecting your company to have a direct way to contact you, it makes sense to have a touch point on a messenger.
It’s not all doom and gloom for chatbots. Chatbots are a stopgap until virtual assistants are able to tackle all of our questions and concerns, regardless of the site or platform. Virtual assistants will eventually connect to everything in your digital life, from websites to IoT-enabled devices. Rather than going through different websites and speaking to various different chatbots, the virtual assistant will be the platform for finding the answers you need. If these assistants are doing such a good job, why would you even bother to use a branded chatbot? Realistically this won’t take place for sometime, due to the fragmentation of the marketplace.

2a : a computer program that performs automatic repetitive tasks : agent sense 5 Several shopping "bots" will track down prices for on-line merchandise from a variety of vendors.— Sam Vincent Meddis especially : one designed to perform a malicious action These bot programs churn away all day and night, prodding at millions of random IP addresses looking for holes to crawl through. — Jennifer Tanaka
Using this method, you can manage multiple funnels of content upgrades, and even convince your users to take the next step in the buyer journey directly within Messenger. In the example below I just direct the user to subscribe to content recommendations via Messenger, but you could push them to book a meeting with a sales rep, take a free trial or directly purchase your product.
“We believe that you don’t need to know how to program to build a bot, that’s what inspired us at Chatfuel a year ago when we started bot builder. We noticed bots becoming hyper-local, i.e. a bot for a soccer team to keep in touch with fans or a small art community bot. Bots are efficient and when you let anyone create them easily magic happens.” — Dmitrii Dumik, Founder of Chatfuel
Back to our earlier example, if a bot doesn’t know the word trousers and a user corrects the input to pants, the bot will remember the connection between those two words in the future. The more words and connections that a bot is exposed to, the smarter it gets. This process is similar to that of human learning. Our capacity for memory and synthesis is part of what makes us unique, and we’re teaching our best tricks to bots.
Google, the company with perhaps the greatest artificial intelligence chops and the biggest collection of data about you — both of which power effective bots — has been behind here. But it is almost certainly plotting ways to catch up. Google Now, its personal assistant system built within Android, serves many functions of the new wave of bots, but has had hiccups. The company is reportedly working on a chatbot that will live in a mobile messaging product and is experimenting with ways to integrate Now deeper with search.
Alternatively, think about the times you are chatting with a colleague over Slack. The need to find relevant information typically happens during conversations, and instead of having to go to a browser to start searching, you could simply summon your friendly Slack chatbot and get it to do the work for you. Think of it as your own personal podcast producer – pulling up documents, facts, and data at the drop of a hat. This concept can be translated into the virtual assistants we use on the daily. Think about an ambient assistant like Alexa or Google Home that could just be part of a group conversation. Or your trusted assistant taking notes and actions during a meeting.

An Internet bot, also known as a web robot, WWW robot or simply bot, is a software application that runs automated tasks (scripts) over the Internet.[1] Typically, bots perform tasks that are both simple and structurally repetitive, at a much higher rate than would be possible for a human alone. The largest use of bots is in web spidering (web crawler), in which an automated script fetches, analyzes and files information from web servers at many times the speed of a human. More than half of all web traffic is made up of bots.[2]
There was a time when even some of the most prominent minds believed that a machine could not be as intelligent as humans but in 1991, the start of the Loebner Prize competitions began to prove otherwise. The competition awards the best performing chatbot that convinces the judges that it is some form of intelligence. But despite the tremendous development of chatbots and their ability to execute intelligent behavior not displayed by humans, chatbots still do not have the accuracy to understand the context of questions in every situation each time.
The evolution of artificial intelligence is now in full swing and chatbots are only a faint splash on a huge wave of progress. Today the number of users of messaging apps like WhatsApp, Slack, Skype and their analogs is skyrocketing, Facebook Messenger alone has more than 1.2 billion monthly users. With the spread of messengers, virtual chatterbots that imitate human conversations for solving various tasks are becoming increasingly in demand. Chinese WeChat bots can already set medical appointments, call a taxi, send money to friends, check in for a flight and many many other.
If the success of WeChat in China is any sign, these utility bots are the future. Without ever leaving the messaging app, users can hail a taxi, video chat a friend, order food at a restaurant, and book their next vacation. In fact, WeChat has become so ingrained in society that a business would be considered obsolete without an integration. People who divide their time between China and the West complain that leaving this world behind is akin to stepping back in time.
“There is hope that consumers will be keen on experimenting with bots to make things happen for them. It used to be like that in the mobile app world 4+ years ago. When somebody told you back then… ‘I have built an app for X’… You most likely would give it a try. Now, nobody does this. It is probably too late to build an app company as an indie developer. But with bots… consumers’ attention spans are hopefully going to be wide open/receptive again!” — Niko Bonatsos, Managing Director at General Catalyst
The fact that you can now run ads directly to Messenger is an enormous opportunity for any business. This skips the convoluted and leaky process of trying to acquire someone's email address to nurture them outside of Facebook's platform. Instead, you can retain the connection with someone inside Facebook and improve the overall conversion rates to receiving an engagement.
Shane Mac, CEO of San Francisco-based Assist,warned from challenges businesses face when trying to implement chatbots into their support teams: “Beware though, bots have the illusion of simplicity on the front end but there are many hurdles to overcome to create a great experience. So much work to be done. Analytics, flow optimization, keeping up with ever changing platforms that have no standard.
For example, ecommerce companies will likely want a chatbot that can display products, handle shipping questions, but a healthcare chatbot would look very different. Also, while most chatbot software is continually upping the AI-ante, a company called Landbot is taking a different approach, stripping away the complexity to help create better customer conversations.
As IBM elaborates: “The front-end app you develop will interact with an AI application. That AI application — usually a hosted service — is the component that interprets user data, directs the flow of the conversation and gathers the information needed for responses. You can then implement the business logic and any other components needed to enable conversations and deliver results.”
Human touch. Chatbots, providing an interface similar to human-to-human interaction, are more intuitive and so less difficult to use than a standard banking mobile application. They doesn't require any additional software installation and are more adaptive as able to be personalized during the exploitation by the means of machine learning. Chatbots are instant and so much faster that phone calls, shown to be considered as tedious in some studies. Then they satisfy both speed and personalization requirement while interacting with a bank.
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