You may remember Facebook’s big chatbot push in 2016 – when they announced that they were opening up the Messenger platform to chatbots of all varieties. Every organization suddenly needed to get their hands on the technology. The idea of having conversational chatbot technology was enthralling, but behind all the glitz, glamour and tech sex appeal, was something a little bit less exciting. To quote Gizmodo writer, Darren Orf:
Note that you can add more than one button under this card, so if the most common customer requests are your hours, location, phone number, or directions, create additional blocks with that information to return to the user. If you’re an online service-based business, you may want to include blocks in your buttons that give more information on a particular segment of your business.
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Forrester just released a new report on mobile and new technology priorities for marketers, based on our latest global mobile executive survey. We found out that marketers: Fail to deliver on foundational mobile experiences. Consumers’ expectations of a brand’s mobile experience have never been higher. And yet, 58% of marketers agree that their mobile services […]
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.
For every question or instruction input to the conversational bot, there must exist a specific pattern in the database to provide a suitable response. Where there are several combinations of patterns available, and a hierarchical pattern is created. In these cases, algorithms are used to reduce the classifiers and generate a structure that is more manageable. This is the “reductionist” approach—or, in other words, to have a simplified solution, it reduces the problem.
Previous generations of chatbots were present on company websites, e.g. Ask Jenn from Alaska Airlines which debuted in 2008 or Expedia's virtual customer service agent which launched in 2011.  The newer generation of chatbots includes IBM Watson-powered "Rocky", introduced in February 2017 by the New York City-based e-commerce company Rare Carat to provide information to prospective diamond buyers. 
[In] artificial intelligence ... machines are made to behave in wondrous ways, often sufficient to dazzle even the most experienced observer. But once a particular program is unmasked, once its inner workings are explained ... its magic crumbles away; it stands revealed as a mere collection of procedures ... The observer says to himself "I could have written that". With that thought he moves the program in question from the shelf marked "intelligent", to that reserved for curios ... The object of this paper is to cause just such a re-evaluation of the program about to be "explained". Few programs ever needed it more.