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).
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: 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.
Pros: The visual bot builder makes building complicated bots really easy without loosing the greater picture. And with all the functions that are offered you are not limited by what the bot can do. And things you currently can't do are worked on by the developers immediately to make the product better. It is amazing how fast they pump out great updates!
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?
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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.