This chatbot is one the best AI chatbots and it’s my favorite too. Evidently it is the current winner of Loebner Prize. The Loebner Prize is an annual competition in artificial intelligence that awards prizes to the chatterbot considered by the judges to be the most human-like. The format of the competition is that of a standard Turing test. You can talk with Mitsuku for hours without getting bored. It replies to your question in the most humane way and understands your mood with the language you’re using.
I’m just starting to get into the sneaker game and I purchased this bot. I thought I was making a wise decision. This shoe has gotten me NO pairs of shoes. The bot is having difficulties for sure, today while I was going for the new adidas zx4000 I had 50 tasks going. Only a couple tasks made it through and I had like 3 saying, waiting for captcha solver. I was sitting there solving captchas for at least 15 minutes and none of my tasks got through. To make things worse the admins on the discord are never present and if u have a question expect to wait at least 3 hours for a reply. It just seems like they don’t really care about their customers. Also the bot is just buggy, every release Something goes wrong. Also they claim to have good proxy testers, little do u know until u actually buy the bot, that the bot cannot even test residential proxies AT ALL! Every time you try to test out residential proxies the bot claims none of them are working. Tbh if I could go back in time and take back my purchase for $300, I would do it in a heartbeat.
Amazon Lex is a service for building conversational interfaces into any application using voice and text. Amazon Lex provides the advanced deep learning functionalities of automatic speech recognition (ASR) for converting speech to text, and natural language understanding (NLU) to recognize the intent of the text, to enable you to build applications with highly engaging user experiences and lifelike conversational interactions. With Amazon Lex, the same deep learning technologies that power Amazon Alexa are now available to any developer, enabling you to quickly and easily build sophisticated, natural language, conversational bots (“chatbots”). Speech recognition and natural language understanding are some of the most challenging problems to solve in computer science, requiring sophisticated deep learning algorithms to be trained on massive amounts of data and infrastructure. Amazon Lex democratizes these deep learning technologies by putting the power of Amazon Alexa within reach of all developers. Harnessing these technologies, Amazon Lex enables you to define entirely new categories of products made possible through conversational interfaces. As a fully managed service, Amazon Lex scales automatically, so you don’t need to worry about managing infrastructure. With Amazon Lex, you pay only for what you use. There are no upfront commitments or minimum fees.

Botengine does a awesome job ,there is no limit to the number of chat our Botengine chatbot can respond to at the same time. Botengine assists our customer care team in responding to regular questions which our customers usually ask ; questions whose answer already lies on one section of the website or another. Therefore on most occasions ,Botengine simply refers our web visitors to sections of the website ,where the answer to their question lies.


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.
Pandorabots is a platform for building and deploying chatbots. Pandorabots use artificial intelligence as a service to provide API access to our bots’ SDK and hosting platform. This allows easy integration of conversational interfaces into applications by developers making it easy to build chatbots on our Playground. Pandorabots main features are custom, content, learning, community, speech interfaces, deployable, multilingual and free. Pandorabots also provide a platform for professional services. In the professional services, there is the custom chatbot development service. This service builds chatbots according to a developer’s specifications. Pandorabots will help also in integrating avatar or speech capabilities. The…
I always love to see what types of people I’m paired with in a situation like this. I was initially given all women in their 40s and decided to ask for “more options,” just to see what that looked like. I was then given a wider array of ages, as well as one man. After making my choice (I chose the man), I received my first voice text within a couple of days.

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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.
Customer support tools, such as live chat, help desk, or contact center solutions, may already have chatbots implemented as a first line of defense when dealing with customers. However, they are becoming more widely used in other applications, such as sales and marketing knowledge bases. Users may even use them instead of a query language to find certain data points in business intelligence tools; by simply typing or speaking a request to a business intelligence platform, a chatbot can provide the proper data. Chatbot capabilities are constantly expanding and becoming more frequently implemented in other types of software.
In the recent years, the growth in popularity of chatbots has been the result of the amount of research poured into its underlying technology. These AI-powered bots are now being integrated in various industries such as payments, banking, customer service, and even pure personal amusement. The birth of chatbots developed from the curiosity of whether a robot can really fool any human into believing that it is human as well.
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.
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.
Created in 1966 as an early natural language processing (NLP) computer program that emulates a Rogerian psychotherapist, a clinical practice that allows clients to take more action and progression in discussions. This is also known as person-centered therapy. Developed by Joseph Weizenbaum, ELIZA, named after a character in the play Pygmalion by George Bernard Shaw, is generally known as the first chatbot.
I like that Botengine platform is easy to use,thereby making it easy to create our chat bot in a matter of minutes,and with as much minimal support as possible from the software development team. Botengine is so simple to use,that it was created and deployed by myself and team members at the marketing team,despite not coming from a technical background.
Amazon Lex is a service for building conversational interfaces into any application using voice and text. Amazon Lex provides the advanced deep learning functionalities of automatic speech recognition (ASR) for converting speech to text, and natural language understanding (NLU) to recognize the intent of the text, to enable you to build applications with highly engaging user experiences and lifelike conversational interactions. With Amazon Lex, the same deep learning technologies that power Amazon Alexa are now available to any developer, enabling you to quickly and easily build sophisticated, natural language, conversational bots (“chatbots”). Speech recognition and natural language understanding are some of the most challenging problems to solve in computer science, requiring sophisticated deep learning algorithms to be trained on massive amounts of data and infrastructure. Amazon Lex democratizes these deep learning technologies by putting the power of Amazon Alexa within reach of all developers. Harnessing these technologies, Amazon Lex enables you to define entirely new categories of products made possible through conversational interfaces. As a fully managed service, Amazon Lex scales automatically, so you don’t need to worry about managing infrastructure. With Amazon Lex, you pay only for what you use. There are no upfront commitments or minimum fees.
I like that Botengine platform is easy to use,thereby making it easy to create our chat bot in a matter of minutes,and with as much minimal support as possible from the software development team. Botengine is so simple to use,that it was created and deployed by myself and team members at the marketing team,despite not coming from a technical background.

IBM Watson™ Assistant is highly flexible, allowing you to deploy small, focused solutions or to scale to enterprise wide deployments. With simplified tooling, it allows collaboration between business SMEs and developers to build out conversational solutions and advanced dialog flows, without needing to be an expert in machine learning. The premium and dedicated plans provide enterprise grade security and support; such as data isolation, end to end encryption and support for non-regulated PII data.


As for the app’s “friendliness,” this is an area where Joyable really shines. The program itself feels very easy to navigate, yet polished in a way that puts very little pressure on the person using it. The app isn’t needy, nor are the coaches you check in with. It’s straightforward in a soothing way, and, to me, that’s the ideal kind of friendliness.

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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.
DigitalGenius is an intersection of artificial intelligence and customer service. DigitalGenius combines machine intelligence and human understanding so as to deliver great customer satisfaction. This is demonstrated by Human + AITM. Through the combination of human and AI, DigitalGenius enables human agents use the minimal time while serving their customers and therefore creating great experience for their customers across any channel. The combination of AI with human will enable DigitalGenius to automatically respond to repetitive questions. DigitalGenius also suggests the right answers to be given to your customers. This eliminates searching of answers from knowledge articles and also eliminates copy…
Imperson develops enterprise chatbots that support text, audio, video, AR, and VR on all major messaging platforms. Their conversational bots provide authentic and engaging customer chat experiences. The conversation navigator uses relationship memory, NLP user intents, and deep dialogue context to lead conversations. And the AI moderator helps achieve customer’s goals. Imperson provides an end-to-end bot solution.
AI powers for customer service agents to provide faster, smarter responses. ultimate.ai's deep learning artificial intelligence technology works in partnership with agents, learning from historical chat data to provide reply suggestions in real time. ultimate.ai learns from agent behaviours and grows in accuracy. Ultimately, the most common questions in customer service are fully automated, freeing agents to focus on what really matters: the customer.
Meya helps businesses create bots that assist their customers inside messaging apps. It has a code editor, live debugger, and a visualizer. With the help of Meya, companies can leverage AI for their customer service. You can build, train, and host your bots on Meya. And you can easily scale your bot. Meya integrates easily with third party applications, which increases its usability.
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.
Semantic Machines solve conversational artificial intelligence. The conversational artificial intelligence interfaces by Semantic Machines will soon enable a natural communication between people and computers. Semantic Machines vision is paving way for conversational computing through development of fundamental artificial intelligence technology. Semantic Machines is currently developing language independent technology platform. The platform will enable computers collaborate, communicate, accomplish tasks and understand goals. Semantic Machines are developing the conversation engine. The conversation engine will extract semantic intent such as text or voice from a natural input. The engine then will spawn a self updating framework that will manage the content and end…
For at least the foreseeable future, chatbots won’t be replacing humans in contact center jobs. At this point, chatbots will only replace some of the tasks that people are now handling – especially lower-level requests, questions and complaints. The best chatbot systems can recognize customer frustration and switch the interaction to a human in the company’s support center. That said, chatbots are on their way to mainstream acceptance. Here are four ways AI and chatbots are creating a major impact in the customer service and CX world:
SmartAction is transforming customer self-service with artificial intelligence. We work with businesses to create an environment where intelligent virtual agents are handling complex customer requests in every medium – voice, SMS text, chat, and social media. With state-of-the-art technology and industry-leading expertise, our goal is to fundamentally improve the way customers communicate with the brands they love.
Pros: I like the quickness with which I am able to create a chatbot on Botengine. I also think that Botengine is well priced and affordable for small teams like ours. Most important ,is the fact that the chatbot we created on Botengine ,has been reliable and met our expectation by reducing the amount of customer query our customer care department agents have to respond to each day.
I liked the clarity of Joyable’s approach: It’s intended to only be eight weeks long, so there’s no pressure to continue after it ends (the anxious people pleaser in me likes knowing how much time I’m signing up for and how easy it is to cancel.) And each week, a new themed course is “unlocked,” allowing me the chance to tackle a new set of cognitive-behavior related challenges.
Cons: Botengine has reduced the workload on the helpdesk department . However ,I fear we may come one day have an advanced Botengine ,years down the line ; which is able to respond to the current complex queries we respond to and thus when that day comes , why would my employer keep me at the job ,when a Bot can do a better job ,without ever getting tired?
By collecting over 20 years of messaging transcript data and feeding it to their AI-powered chatbot, LivePerson can automate almost every industry’s messaging and integrate with most messaging channels like your website, mobile app, Apple Business Chat, text messaging, Google Rich Business messaging, Line, Facebook Messenger, WhatsApp, and Google AdLingo.

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