If you want a system that can give you real-time analytics and insights to gauge the success of your self-service support, Helpshift is a good option. It's a full-featured customer service platform with AI tools for self-service, conversational support and ticketing. It's got real-time dashboards and customizable reports to monitor customer and agent activity, which can dramatically improve customer satisfaction and lower support costs.
Another good option is AnswerDash, an AI-based self-service support system that's geared for predictive Q&A and real-time analytics. It can link to common knowledge bases and ticketing systems, and it's got tools like intelligent self-service and an ROI dashboard to measure cost and time savings. It's designed to improve customer satisfaction and cut the need for live chats, so it's a good choice for optimizing self-service performance and making data-driven decisions.
If you want more advanced analytics, check out ThoughtSpot. This AI-based analytics system lets people ask complex data questions in plain English and get answers and insights immediately. It's good for business teams that want to make data-informed decisions with self-service analytics. With natural language queries, flexible data modeling and powerful visualization tools, ThoughtSpot lets you quickly explore and share data-driven insights.
Last, Ada has a powerful AI-based customer service automation system that can handle more than 70% of customer inquiries on its own. It can link to existing knowledge sources and data systems to offer personalized and accurate answers. With automated resolution measurement and AI coaching, Ada can help you improve customer satisfaction and lower operational costs, and it's adaptable for many industries.