1. FAQs and personalized customer service

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Let’s explore four practical ways conversational AI tools are being used across industries.

Customer service chatbots are one of the most prominent use cases of conversational AI. So much so that 93% of business leaders agree that increased investment in AI and ML will be crucial for scaling customer care functions over the next three years, according to The 2023 State of Social Media Report.

An AI-powered customer experience means albania phone number data that customers can be helped 24/7. And these bots’ ability to mimic human language means your customers still receive a friendly, helpful and fast interaction.

But this doesn’t replace the need for your human team. Rather, the efficiency of AI customer service tools triage the “easy” questions so that your team has more time to dedicate to more complex customer issues.

Every conversation a customer service chatbot has with customers is data. Conversational AI enables you to use this data to uncover rich brand insights and get an in-depth understanding of your customers to make better business decisions, faster.

An AI-based tool synthesizes data gathered from customer conversations—think, your virtual agents and AI-based chatbots—using tasks like sentiment analysis and named entity recognition (NER) to give you granular, actionable insights about your brand and customer. These insights help you build more targeted marketing campaigns, improve products and services and remain agile in a competitive market.