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.

Chatbots utilize natural language processing (NLP) and speech recognition to understand written and spoken requests; businesses can leverage this technology to automate tasks that formerly required human intervention. Based on a request from a user, the chatbot provides the user with an output, which is a response to the request in text or speech form. With the use of machine learning and deep learning, chatbots can grow intelligently and understand a wider vocabulary and colloquial language, as well as provide more precise and correct responses to requests.

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…
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.
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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.
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.
Reply is one of the best AI chatbot platforms. It is an enterprise level bot building and management platform. And it enables business to consumer communication at scale. Their visual bot builder makes it easy to build bots. The dashboard has built-in CRM, machine learning, and real-time insights to make smarter and faster bots. You can expand bot functionalities across the whole customer experience.

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


Rulai also integrates with most messaging channels, customer service software, enterprise business software, and cloud storage platforms. You can either build a Ruali chatbot from scratch with its drag-and-drop design console and let its AI adapt to your customers or you can implement a pre-trained chatbot that has been fed data from your specific industry.

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