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.
Chatfuel helps you make a Facebook chatbot without coding. You can use the editing tools to design chatbots. And you can set up conversational rules in the dashboard. The bot will use NLP to understand and recognize phrases, and will send users predefined answers. You can build a chatbot to serve as a customer service advisor, an event assistant, or a personal avatar. Chatfuel’s analytics technology provides insights about the performance of the bot.

Qualified is a live chat and conversational marketing platform that will alert your sales reps when qualified leads are on your website, and give them the tools to meet with them in real-time, including live chat, voice calls, and screen sharing. Qualified was created to help companies reduce the amount of time it takes for sales reps to engage with qualified leads. By providing real-time qualification and instant meetings, sales teams are able to generate more leads and more pipeline.
1. The chatbot never sleeps: Customer service is all about convenience, which includes 24/7 customer support. A cost-efficient, yet powerful way to provide basic support is through the never-sleeping chatbot. Devine shared an excellent example of this. In the banking industry, Workfusion’s chatbots are trained by using historical conversations and can perform some of the same tasks as a live support center rep such as correcting an invoice, answering basic questions about account balances and more. Customers receive the same level of service they would get from the support rep. The chatbot can recognize human emotions such as anger, confusion, fear and joy. And, as mentioned above, if the chatbot detects that the customer is angry, upset or frustrated, it will seamlessly transfer the interaction to a human to take over and finish assisting the customer.
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).
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.
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.
Reply is one of the best AI chatbot platforms. It is an enterprise level bot-building and management platform. And it enables B2C communications 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.

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