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A rule-based chatbot is suitable for handling basic inquiries, automating repetitive tasks, and reducing costs. In contrast, conversational AI offers a more personalized and interactive experience, enhancing customer satisfaction, loyalty, and business growth. However, implementing conversational AI demands more resources and expertise.<\/p>\n<\/p>\n
With REVE Chat, you can start a free trial of a chatbot and other support tools and see how they would fit into the specific needs of your business. What\u2019s more, you can combine the live chat software with the chatbot and ensure hybrid support to users across the journey with your brand. We, at REVE Chat, are aware of the shortcomings that scripted chatbots can have and therefore help businesses easily design the best chatbot they can. For example, the Belgian insurance bank Belfius was handling thousands of insurance claims\u2014daily!<\/p>\n<\/p>\n
The first example is too formal and not reflective of how a real user would ask while the second one is more natural. If the user asks if they can apply for a credit card, the bot should not just say \u201cYes\u201d or \u201cNo\u201d. It can direct the user to the steps, but whether the application will be approved, concersational ai vs chatbots<\/a> depends on more factors. Accuracy of a bot needs to be looked at in the context of its scope coverage, or the breadth of topics it has been trained for. To gauge the \u2018smartness\u2019 of the conversational agent, the entire organization has to align on the KPIs and what they expect the bot to do.<\/p>\n<\/p>\n