But Zuckerberg is just getting started. And he is doubling down on his plan to monetize Facebook by delving into the foggy world of artificial intelligence (AI) in order to have computer software programs called bots, take over sales and customer service functions on Facebook's Messenger platform. This has profound consequences not only for Facebook’s bottom line, but for marketers as well.
Chatbot Eliza can be regarded as the ancestor and grandmother of the large chatbot family we have listed on our website. As you can see in our directory tab, there are hundreds of online chatbots available in the public domain, although we believe hundreds of thousands have been created by enthusiastic artificial intelligence amateurs on platforms such as Pandorabots, MyCyberTwin or Personality Forge AI. Most of these chatbots give similar responses, the default response, and it appears to take a long time and patience to train a chatbot in another field of expertise and not all amateur developers are willing to spend these vast amounts of time. Most of the chatbots created this way are no longer accessible. Only a small portion of fanatic botmasters manage to fight their way out of the crowd and get some visibility in the public domain.
Chatbots are used in a diverse fashion, across all verticals and on many different types of channel, e.g. websites, social messaging, etc. In business their application accelerated rapidly in 2019, leading Van Baker, research vice president at Gartner, to predict that: “By 2020, over 50% of medium to large enterprises will have deployed product chatbots."
The process of building, testing and deploying chatbots can be done on cloud-based chatbot development platforms offered by cloud Platform as a Service (PaaS) providers such as Oracle Cloud Platform  and IBM Watson. These cloud platforms provide Natural Language Processing, Artificial Intelligence and Mobile Backend as a Service for chatbot development.
In reality, such consumer expectations aren’t met, which thereby exposes a grey area for businesses to take advantage of. Statistically, 93% of businesses do not respond to consumer grievances within the first 5 minutes. This delayed response is directly responsible for a 400% decrease in lead generation. Over time this turns into a surmounting problem for both small and large organizations as they may be overwhelmed with customer grievances or may fail to maintain an online presence 24/7.
The bot (which also offers users the opportunity to chat with your friendly neighborhood Spiderman) isn’t a true conversational agent, in the sense that the bot’s responses are currently a little limited; this isn’t a truly “freestyle” chatbot. For example, in the conversation above, the bot didn’t recognize the reply as a valid response – kind of a bummer if you’re hoping for an immersive experience.
Ideally used for customer service functions Botsify is another Facebook Messenger Bot Builder tool that can help boost your brand. A noteworthy feature would be its website integration (helping you get more cross-platform support out of your chatbot. Like other platforms we discussed so far Botsify also has an easy drag-and-drop template designer. Also, it is trusted by names including Apple and Shazam.
Facebook is among the leading networks for consumers to directly interact with their choice of brand. Over a billion people in a month use this platform to directly get in touch with businesses. A survey reveals that 56% of consumers would prefer any and all form of grievances to be addressed and solved via chat rather than telephonically. Furthermore, consumers expect the response time to be less than 5 minutes per grievance.
Build a bot directly from one of the top messaging apps themselves. By building a bot in Telegram, you can easily run a bot in the application itself. The company recently open-sourced their chatbot code, making it easy for third-parties to integrate and create bots of their own. Their Telegram API, which they also built, can send customized notifications, news, reminders, or alerts. Integrate the API with other popular apps such as YouTube and Github for a unique customer experience.
Smart chatbots rely on artificial intelligence when they communicate with users. Instead of pre-prepared answers, the robot responds with adequate suggestions on the topic. In addition, all the words said by the customers are recorded for later processing. However, the Forrester report “The State of Chatbots” points out that artificial intelligence is not a magic and is not yet ready to produce marvelous experiences for users on its own. On the contrary, it requires a huge work:
To compliment the functionality of bots for Messenger, we're introducing another tool to facilitate more complex conversational experiences, leveraging our learnings with M. The wit.ai Bot Engine enables ongoing training of bots using sample conversations. This enables you to create conversational bots that can automatically chat with users. The wit.ai Bot Engine effectively turns natural language into structured data as a simple way to manage context and drive conversations based on your business or app's goals.