But even though most chatbots can handle moderately sophisticated conversations, like welcome conversations and product discovery interactions, the if/then logic that powers their conversational capabilities can be limiting. For instance, if a customer asks a unique yet pressing question that you didn’t account for when designing your chatbot’s logic, there’s no way it can answer their question, which hangs your customer out to dry and ultimately leaves them dissatisfied with your customer service.
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.
If you plan on using ChatBot, it'll take a while to get it near perfection. I would recommend creating a list of events or potential encounters and map it out on your website to try to predict how to fix it. Plan this out on paper and use each scenario, it'll take hours but it'll build value and make it seem like the client is talking to a real person. After that, use the chat logs where a client runs into an issue with the chat to learn what can happen and fix that scenario.
Cons: The Learning Academy and help topics are not sufficient to train you to use this product. It took a lot of stumbling through (and still does) on how to figure out what to do and how to train the chatbot. Also - support is only available through email, would be extremely helpful to be able to get help in realtime.... You would think a chat product would have the ability to LiveChat with it's customers!
Reply.ai brings the power of artificial intelligence across all messaging apps including Facebook Messenger, Kik, Telegram, LINE, SMS, or your own chat screen. Native custom UI elements are used in each channel. Reply.ai visual bot builder gives you the power to build advanced bots as well as visually create your conversations on your own, without the help of a developer. Reply.ai supports human/bot hybrid which allows human agents to take over the conversation from Reply.ai, Zendesk, LiveChat, BrightPattern, FreshDesk or ZipWhip, at any moment and only when really needed. Analytics enable you to analyze every single response from your users…
Running on Pandorabots, one of the most powerful conversational artificial intelligence chatbot platforms, Mitsuku won the award for the most human-like AI in 2013 and again in 2017. She was created from AIML, a bot language technology by Steve Worswick, who found the inspiration for Mitsuku after being asked to write her character for an internet games site.
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.
Pros: The personal interaction with the team is probably the biggest draw for me. ActiveChat is one of the new players in the bot field, but they're clearly listening and responding to their early adopters via e-mail, the official Facebook Group and probably other channels as well. I am confident they will execute everything on their roadmap within a reasonable time frame, allowing us to create every type of bot we can imagine.
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?