Activechat.ai provides a visual tool to make development process for complex enterprise chatbots easier. It is a visual conversation flow builder with advanced natural language understanding tools and lots of integrations to business frameworks like e-commerce shops, CRMs and external APIs. Based on the concept of "LEGO for chatbots" this visual tool makes it easy to build smart multichannel bots in a couple of days instead of weeks and months of development. Strong points: visually simple flow builder, Shopify/WooCommerce direct integration, site tracking, mass broadcasts, Twilio SMS support.
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.
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.
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.
Msg.ai is an artificial intelligence platform used in conversational commerce. Msg.ai enables messaging to be a medium for individual consumer engagement. This is achieved through msg.ai leveraging chatbots to provide VIP support, personal support and great experiences on demand for your customers. Msg.ai is powered by machine learning. This enables automated interaction in real time by our engine. Msg.ai through the machine learning triggers great experiences, contextual cards and nurtures relationship throughout the customer lifecycle. Msg.ai platform will elevate sensitive conversations to human agents therefore ensuring that the customer is not compromised. Our intent and tone classification feature is able…
Pros: First, ive to give credits to the development team for working hard. Bugs fixing, features enhancement, UI improvements and so much more. We've used manychat, funneldash, segmate, motion ai and others and personally we felt Activechat beat them all in terms of pro-activeness, features (standalone bot, NLP integration, custom smtp, woocommerce integration, etc).
Botengine enable sales and customer care agents focus on the complex issues and complaints made by our customer on the website,while our Botengine focuses on tackling the little and simple issues faced by customers,whose answers for the most part even lies on sections of our website.Thus on most occasions,Botengine simply respond to customers with a web link.
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?