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.
Nina, the Nuance Intelligent Virtual Assistant, isdesigned to deliver an intuitive, automated experience for all your digital channels by engaging your customers in natural conversations using voice or text. No matter if you want to add a virtual agent to your website, app, or text messaging application, Nina offers your customers a consistent experience in any digital channel. A familiar voice will answer their request whether it's typed into a computer, tapped on a screen or spoken into a device.
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.
Aivo powers your customer support with the help of AI bots. It helps you respond in real time with text or voice. You can optimize your resources and increase conversions. Aivo’s Agentbot understands the rules of each channel, and adapts automatically to respond. You can give your customers a personalized experience. It can integrate easily with third party integrations like Salesforce, Zendesk, WhatsApp, etc.
Cons: Initial onboarding is wonky and can use UX upgrades. It was difficult understanding how to get started until I watched several videos. I also had issues using this platform on Firefox to connect Facebook messenger. Currently, the workaround is to use Chrome to connect messenger and then you can continue working on Firefox. I don't like having to use a different browser to obtain functionality. The team promised this was a bug that will be ivnestigated
We only introduced Botengine by Livechat into our help desk process in November 2017 ,however as expected with all things created by the Livechat team (counting on past experience) ,it has been helpful for the team . One ,it is easy to integrate with our existing Livechat solution , and the helpdesk team integrated it ourselves without the need to leverage on the technical know-how of our colleagues at the engineering department. Two ,it reduced the chat workload on the help desk team ,as we no longer need to treat everyday customer query like ; what does Iroko tv do , what countries can Iroko be used ? Pricing of our services ?
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.