1. The chatbot never sleeps: Customer service is all about convenience, which includes 24/7 customer support. A cost-efficient, yet powerful way to provide basic support is through the never-sleeping chatbot. Devine shared an excellent example of this. In the banking industry, Workfusion’s chatbots are trained by using historical conversations and can perform some of the same tasks as a live support center rep such as correcting an invoice, answering basic questions about account balances and more. Customers receive the same level of service they would get from the support rep. The chatbot can recognize human emotions such as anger, confusion, fear and joy. And, as mentioned above, if the chatbot detects that the customer is angry, upset or frustrated, it will seamlessly transfer the interaction to a human to take over and finish assisting the customer.
Given the recent headlines about misuse of user information, I decided to go with my Android device and was prompted to download the app. Still, my initial foray into chatbots brought up the central issue of confidentiality. Can I trust Woebot with my most intimate and personal information the way I would a human? I read the privacy policy and decided to keep things light.

There is a lot of potential for using chatbots for marketing. For example, it is possible to use Facebook advertising to send users directly to a Messenger chatbot. Users interacting with the chatbot consent to be contacted by the bot at a later point in time. This means that the cost-per-acquisition of Messenger contacts can be much lower than traditional email marketing.
DB: The last app I looked at was Talkspace, which provides online therapy with a licensed health professional at a significantly reduced rate. Similar to Joyable, it uses a variety of activity-based tools to make improvements in a variety of areas such as happiness, compassion, balance, self-awareness, and productivity. Users can communicate with therapists by leaving text, audio, and video messages at any time.

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Nina, the Nuance Intelligent Virtual Assistant, isdesigned to deliver an intuitive, automated experience for all your digital channels by engaging your customers in natural conversations using voice or text. No matter if you want to add a virtual agent to your website, app, or text messaging application, Nina offers your customers a consistent experience in any digital channel. A familiar voice will answer their request whether it's typed into a computer, tapped on a screen or spoken into a device.

Flow XO enables you to build bots for Telegram, Slack, and Facebook Messenger. With the help of Flow XO, you can build bots in a straightforward manner by using a logical flow. Third party integrations form a core part of this chatbot platform. Users can build bots that integrate with other services like Google Drive, Twitter, Salesforce, and more. Its built-in hosting and management makes it one of the best AI chatbot platforms.

Woebot has a sense of humor, and I can see people who are having a bad day sticking with the attractive platform. Woebot also has skills — in no time, Woebot had identified my mood (with emoji support), identified three thoughts underlying my mood, and helped me see that these thoughts were “distortions,” which we replaced with more helpful thoughts.
Pros: First, a shout-out to the developers and especially the founder for taking lead in such an awesome product with great support. I've been with them solely for creating funnels on facebook messenger bot but ActiveChat wow me with more channels like telegram and the ability to integrate NLP easily! Drag-drop interface for creating skills/sequences with functions/fields is also improving. Impressed!
DB: The last app I looked at was Talkspace, which provides online therapy with a licensed health professional at a significantly reduced rate. Similar to Joyable, it uses a variety of activity-based tools to make improvements in a variety of areas such as happiness, compassion, balance, self-awareness, and productivity. Users can communicate with therapists by leaving text, audio, and video messages at any time.

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But even though most chatbots can handle moderately sophisticated conversations, like welcome conversations and product discovery interactions, the if/then logic that powers their conversational capabilities can be limiting. For instance, if a customer asks a unique yet pressing question that you didn’t account for when designing your chatbot’s logic, there’s no way it can answer their question, which hangs your customer out to dry and ultimately leaves them dissatisfied with your customer service.
Overall: We are now able to leave our Chat on 24/7, when previously we had limited hours (due to staffing) for the Chat. It is still very much a work in progress to ensure the ChatBot has routed to the correct conversations and can sometimes be frustrating to try and figure out why the ChatBot went to a certain scenario over another. The help topics the company provides can point you in the right direction but they are written at a level above the capabilities of a brand new user to bots in my opinion. Determining whether or not no conversation with a client vs a below average conversation with a client (at times) is worth it, will determine whether we continue to renew our monthly subscription. 

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Chatbots, which are often called virtual agents or virtual assistants, are used in place of a human to conduct specific tasks or provide information based on written or spoken requests. This functionality includes both external, customer-facing requests and internal, employee-facing requests. Chatbots allow users to interact with an application in a conversational manner, whether textually or audibly, to perform certain functions.
Are the travel bots or the weather bots that have buttons that you click and give you some query, artificially intelligent? Definitely, but they are just not far along the conversation axis. It can be a wonderfully designed conversational interface that is smooth and easy to use. It could be natural language processing and understanding where it is able to understand sentences that you structure in the wrong way. Now, it is easier than ever to make a bot from scratch. Also chatbot development platforms like WotNot, Chatfuel, Gupshup make it fairly simple to build a chatbot without a technical background. Hence, making the reach for chatbot easy and transparent to anyone who would like to have one for their business. For more understanding on intelligent chatbots, read our blog.

Pros: Botengine eases the stress on our helpdesk team. Enabling our helpdesk staffs to focus on complex complaints from our customers ,while simple complaints like the address of our company ,email contact etc are taken care off by Botengine. Thereby eliminating the need to hire extra hands on the helpdesk team and saving us time and financial resource in the process.
We only introduced Botengine by Livechat into our help desk process in November 2017 ,however as expected with all things created by the Livechat team (counting on past experience) ,it has been helpful for the team . One ,it is easy to integrate with our existing Livechat solution , and the helpdesk team integrated it ourselves without the need to leverage on the technical know-how of our colleagues at the engineering department. Two ,it reduced the chat workload on the help desk team ,as we no longer need to treat everyday customer query like ; what does Iroko tv do , what countries can Iroko be used ? Pricing of our services ?

AIDS THE SUPPORT TEAM - Botengine basically aids our support team by helping address the most popular and simple questions ,which customers are likely to ask the support helpdesk team like ; what Iroko is about , our office address , our contact email ,how to subscribe to Iroko ,or where to find our smartphone apps etc This activity enable the human support team to focus on the most important and complex customer questions , which Botengine cannot respond to.

Pros: First, a shout-out to the developers and especially the founder for taking lead in such an awesome product with great support. I've been with them solely for creating funnels on facebook messenger bot but ActiveChat wow me with more channels like telegram and the ability to integrate NLP easily! Drag-drop interface for creating skills/sequences with functions/fields is also improving. Impressed!
Pros: It's system is more advanced comparing with Manychat or Chatfuel (both are like toys if you try Activechat). It has autorresponders of course, but also suitable for flexible AI conversations. Is like coding an advanced chatbot without needing to be a coder. The team is very responsive and their founder Andrii has a clear vision about this project.
Overall: We are now able to leave our Chat on 24/7, when previously we had limited hours (due to staffing) for the Chat. It is still very much a work in progress to ensure the ChatBot has routed to the correct conversations and can sometimes be frustrating to try and figure out why the ChatBot went to a certain scenario over another. The help topics the company provides can point you in the right direction but they are written at a level above the capabilities of a brand new user to bots in my opinion. Determining whether or not no conversation with a client vs a below average conversation with a client (at times) is worth it, will determine whether we continue to renew our monthly subscription.
Existor is the algorithm used to developed Cleverbot, as well as EvieBot, BoiBot, PewDieBot, and ChimBot. It offers a wide-range of bot and AI-related products alongside bot development, such as apps and mobiles games, the Clever data set, and Cleverscript for scripted conversations. The underlying technology in Cleverbots not only processes verbal and textual interactions, but also the timing and degree of the avatars' facial expressions and movements to create a more authentic conversation experience.

Adam Devine is the CMO of WorkFusion, architects of AI-powered products that automate customer service functions as well as other business processes. According to Devine, “Adding natural language processes and machine learning changes everything, giving virtual customer assistants (VCAs) the ability to determine not just what rules-based action to take based on a word, but to understand the meaning of words in different combinations, ask questions to create context and intent, and actually do something for the customer.” 

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