Question: Is there a customer support chatbot that can automatically categorize and tag incoming requests based on topics, intents, and sentiment?

If you need a customer support chatbot that can automatically categorize and tag incoming requests based on topics, intents and sentiment, Ada is a top contender. Ada is an AI-powered customer service automation platform that can handle more than 70% of customer service requests on its own. It can handle multiple languages and integrate with existing knowledge bases and business systems for personalized answers. Features include automated resolution measurement, AI coaching and support on web, mobile, social, SMS and phone channels.

Another contender is Ultimate, which uses generative AI to automate more than 60% of support requests across multiple digital touchpoints. UltimateGPT can handle FAQ-style questions, and Dialogue Builder lets you create custom dialogues without programming. It also comes with a powerful Analytics Suite to fine-tune conversation performance and integrates with any CRM.

If you want a tool that can be used in a variety of ways, Chatbase is a platform that can be adapted for customer support, lead generation and user engagement. It ingests data from a variety of sources, including files and third-party services like Slack and WhatsApp, to train chatbots. Chatbase supports multiple languages and offers advanced analytics and customization options, making it a good option for improving customer support and lead generation.

Last, My AskAI integrates with live chat providers like Intercom and Zendesk to deflect up to 75% of support requests. It offers smooth handovers to human agents, automated content integration and support for multiple languages. My AskAI is designed to improve customer support without replacing existing tools, so it's a good option for companies that want to cut support costs without sacrificing customer satisfaction.