ChatBot provides the best bot platform for designing, building and deploying conversational chat bots to talk to customers and to provide information to users. With support for one-click integration process with Facebook Messenger and a range of other services, you can run powerful and intelligent bots in no time. ChatBot allows using entities, creating conversational scenarios, and it leverages Natural Learning Processing and Machine Learning to develop a human-like experience for customers.
Botsify helps you create intelligent Facebook Messenger chatbots without coding. It enables human takeover and handover features. The platform introduces conversation forms which collects information from users through Chatbot conversations. Botsify has an easy drag and drop interface. It is powered by AI and machine learning. And it offers plugins for integration of your platform with chatbot via JSON API or RSS Feed.
Non-technical tools: these are tools that anyone can use to quickly build a chatbot. These can be used to create simple chatbots or prototypes to quickly learn whether chatbots are a good fit for your application. You will likely not be able to handle complex integrations with your website, and your bot will not behave intelligently. Nevertheless, these tools are very useful even for those that are able to code. An example of a popular tool in this category is Chatfuel
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.
Overall: Botengine greatly reduces the number of chats our helpdesk support team gets to respond to. Realistically too ,a lot of customer questions have their answers already on the company website , thereby making it easy for our chatbot to simply direct such customers to the appropriate part of the website ,where answer to their query is available. Saving our agents the need to spend precious time doing that.
Whisbi provides a mobile-first conversational sales & marketing platform for B2C enterprises. Our solution creates an opportunity for Sales & Marketing professionals to increase sales conversion, improve live engagement and provide a differentiating online customer experience. Whisbi combines all contact channels like video-call, chat, chatbot, click-to-call or a traditional phone call into one centralized data-driven UI for your customers. Enhanced by a BI engine, Whisbi provides the right channel for the right customer at the right time. The Whisbi solution easily integrates with existing infrastructures, ranging from call centers to physical stores and virtual showrooms. A simple inclusion of the solution on websites provides the ability to drive a truly omnichannel customer experience that significantly increases online conversion rates. We offer a world-class conversational platform for sales & marketing and are able to share industry-specific insights & expertise. We have unparalleled experience working closely with global enterprises in telecommunications, automotive, travel, and insurance & banking. Our solutions have managed over: 700M impressions, 47M clicks, 18M call requests, 10M conversations To date, we have delivered over 1.5M sales to our clients globally. And we’re just getting started! Whisbi puts human interactions at the center of the online customer experience and increases the ROI of digital marketing campaigns. It allows brands to better capitalize on their website traffic, increase their NPS score, differentiate through CX and sell more online. We integrate with the best marketing & sales solutions including Salesforce, Google Adwords, Google Analytics & Adobe Marketing Cloud, helping to deliver more powerful insights into the full customer journey. In essence, Whisbi enables modern marketing and sales teams to deliver multichannel experiences that support & complement existing digital commerce systems.
If you go to the Official CleanBot Website, you can find information on how much this product costs as well as how to buy it. It looks like there is a special discount running NOW which includes up to 50% off and free shipping. This is subject to availability. So it won’t last long! To order, simply click any button here, go to the Official Clean Bot Site, and enter in your information to buy and ship!
Pros: Building a bot is really simple with their pre-made templates and a drag and drop flow diagram. We have been using Activechat to automate skills aka flows for different visitors (leads and vendors) and touchpoints through different growth tools (referral path to trigger skills). Broadcasting to 'tagged' subscribers is also straightforward. A real game changer.0
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.
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.
Its Alive helps you make chatbots for tour Facebook page. It enables you to engage with your Facebook community 24×7 with automated content to improve your response time significantly. Chatbots can be used to drive conversations. It can handle frequently asked questions directly through the chatbots by detecting keywords in Facebook Messenger. And it helps you broadcast your messages.
Fortunately, the next advancement in chatbot technology that can solve this problem is gaining steam -- AI-powered chatbots. By leveraging machine learning and natural language processing, AI-powered chatbots can understand the intent behind your customers’ requests, account for each customer’s entire conversation history when it interacts with them, and respond to their questions in a natural, human way.
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.
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.”