This is now, the 'age of the bot'.
Even as the market for chatbots moves from mere hype and excitement, to a space of maturity and universality, it's evident that this is a phenomenon that's here to stay. Having said that, it's important to remember that they won't be replacing the power or the impact of the 'human factor - the ability to connect, converse, and speak with a real person.
However, today several daily, iterative customer service tasks are consistently being automated via chatbots. This helps to reduce timelines, offer cutting-edge tech for an enhanced customer experience, while ensuring a streamlined return on investment.
Let's begin by looking at the major technologies, companies are investing in, at this moment:
'Technology as a driver of innovation'
Today, firms are open to all kinds of experimentation, when it comes to chatbots. broadly, we see three major trends:
The move from NLP to NLU
Often, AI experts and solution providers opine that Natural Language Processing or NLP is at the core of a high-functioning chatbot. Interestingly, this isn't entirely true. As a result, there is a shift in the works - a move from NLP to NLU or Natural Language Understanding. This extends the scope of a chatbot's ability to gather data, learn quickly, and deliver humanized, bespoke responses. Companies are investing in a number of hard techs such as AI negotiation and reinforcement learning, in order to help chatbots genuinely ascertain user desire and intent.
The rise and rise of Voice Interface
There's been some criticism around how chatbots add to taps and friction, as against the norm for regular UI scenarios. This has led to an attempt at creating an interface, that feels easy, works simply, and is hassle-free - in other words, 'Voice Interfacing' is considered an essential for chatbots. Add to this, the growing popularity of Smart Speakers like Google Home, Apple Homepod, and Amazon Echo, and the case for an effective Voice Interfacing system is pretty solid.
The hybridization model with Conversational Interfaces
As companies begin to grapple with the challenges of NLP, new ideas are being explored for smarter and enriched UX. Instead of only depending on natural language interactions, with Conversational Interfacing, one can build a more dynamic user experience. An illustration of this would Slack's bot platform, which carries a vibrant mix of images, message menus, and interactive buttons.
The use of text-focused chatbots for enhanced customer experience
There are several chatbot engines now working on a majority of social networking channels, (such as Facebook Messenger and Baidu), which helps companies action simplified interfaces for the programming of dialogues, in a textual mode. Ironically, most of these don't work on AI, and instead operate on a closed question model, in order to feed in dialogues. Once a question is formulated, an answer is arrived at through keyword research or is provided by an actual person.
Given the above trends, it would be great to see a movement towards deeper sophistication in the chatbot engineering and design, which cover areas like, wider customer engagement across social channels, user identification & authorisation management, customer request analysis via machine learning, expanded questionnaires for request assessment, and adapted information offerings through connections with other IT/IS.
Chatbot Vendors
| Vendor/Product Name | Web Site |
| Amazon | Amazon Connect + Lex |
| Arabot | Arabot |
| Aspect | Aspect CXP Pro |
| Athenka | Athenka |
| Botsify | Botsify |
| BotsCrew | BotsCrew |
| Botfuel | Botfuel |
| Botmind | Botmind |
| Chatfuel | Chatfuel |
| Conversable (acquired by LivePerson) | Conversable |
| Destygo | Destygo |
| ECS Inc | ECS Inc |
| Engati | Engati |
| Enghouse Interactive | Enghouse Interactive |
| FloatBot | FloatBot |
| FlowXO | FlowXO |
| Google Dialogflow (previously Api.ai) | Google Dialogflow |
| Gubshup | Gubshup |
| IBM Watson Assistant | IBM Watson Assistant |
| Inbenta | Inbenta |
| It's Alive | It's Alive |
| KITT.AI (acquired by Baidu) | KITT.AI |
| Like a Bot | Like a bot |
| LivePerson | LivePerson |
| Living Actor | Living Actor |
| ManyChat | ManyChat |
| Meya.ai | Meya.ai |
| Microsoft Bot Framework | Microsoft Bot Framework |
| Microsoft Language Understanding Intelligent Service (LUIS) | Microsoft LUIS |
| Mindmeld (acquired by Cisco) | Mindmeld |
| MobileMonkey | MobileMonkey |
| Morph.ai | Morph.ai |
| motion.ai (acquired by HubSpot) | motion.ai |
| Octane.ai | Octane.ai |
| Pandorabots | Pandorabots |
| Pypestream | Pypestream |
| rasa NLU | rasa NLU |
| Rebot.me | Rebot.me |
| Recast.AI (acquired by SAP - now called SAP Conversational AI | SAP Conversational AI |
| Reply.ai | Reply.ai |
| Semantic Machines (acquired by Microsoft) | Semantic Machines |
| Smartloop | Smartloop |
| Smartly.ai | Smartly.ai |
| Sor'un | Sor'un |
| Twyla | Twyla |
| wit.ai (acquired by Facebook) | wit.ai |
| Zebo | Zebo |
What are the benefits of a chatbot in the contact center? Let's examine the real difference or changes, a chatbot can implement:




