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).
IBM Watson Conversation is a developer friendly platform that quickly builds and deploys chatbots and virtual agents across a variety of channels, including messaging platforms, mobile devices and even robots. IBM Watson Conversation is easy to begin with and easy to use. Users also get to enjoy the fast speeds of integrating across networks, channels and environments. IBM Watson Conversation Is also robust and secure. IBM protects your own data and privacy enabling users to opt out of data sharing. The enterprise grade feature provides users with a reliable infrastructure that scales with individual use cases. IBM Watson Conversation enables…
Typically, customer service chatbots answer questions based on key words. The most basic systems are actually document retrieval systems. Sometimes this is frustrating. Think of the times you may have asked Siri or Alexa a question and received the wrong answer. The computer recognizes key words but may not recognize the context in which they are being used. In other words, the computer doesn’t recognize the way people naturally speak. This causes the customer great frustration. However, these systems (including Siri and Alexa) have come a long way and continue to improve.
Studies and reports show that customers want quick, frictionless solutions to their problems and answers to their questions. No doubt there are acceptance issues for AI and chatbots. Some customers have always used traditional phone support and have a hard time accepting anything else. But, there is a growing contingent of customers who are increasingly open to new technology, especially if it can enhance their CX. As the technology improves and acceptance grows, chatbots, powered by AI, will have a strong role in customer service and support.
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.
Answer Bot works right alongside your support team. It uses machine learning to help answer your customers' questions with content from your Zendesk Guide knowledge base. The answers it provides are tailored to each customer's question accurately and reliably—every time. And when in doubt, Answer Bot loops in your support agents to offer the customer a human touch.
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
Chatterbot Platform or Chatbot Software are computer program which are designed to simulate an intelligent conversation with one or more human users via auditory or textual methods, for engaging in conversation. Chatterbot are text based conversation agent which can interact with human users through some medium, such as an instant message service. The primary aim of such simulation has been to fool the user into thinking that the program's output has been produced by a human. Programs doing this are referred to as Artificial Conversational Entities, talk bots, chatterboxes, chatter robot, chatterbot, chatbot, or chat bot. Some of the chatterbots use natural language processing systems, and some others scan for keywords within the input and respond with a reply with the most matching keywords, or similar wording pattern, from a textual database. Chatterbots are often integrated into dialog systems for various practical applications such as offline help, personalised service, or information acquisition.