If you need a system to supply your customer service team with real-time analytics and sentiment analysis, Anecdote is worth a look. The platform supplies real-time insights based on monitoring and analyzing feedback from the App Store, support messages, surveys and social media. Anecdote's proprietary NLP engine spots sentiment trends and trouble spots, and it can integrate with more than 65 sources of feedback, including Slack. That can help you lower churn, cut support requests and improve overall customer satisfaction.
Another option is VOC AI, a single customer experience management platform that uses AI to deliver more detailed customer insights and sentiment analysis. It automates more than 50% of customer questions, offers customizable AI chatbots, and has advanced sentiment analysis features. The platform also offers in-depth review analysis and a dashboard to turn customer feedback into actionable insights. That makes it a good fit for e-commerce companies and agencies trying to get the most out of their customer feedback.
For a broader approach, EdgeTier offers an AI-powered customer engagement system that monitors conversations in real-time. It spots issues, coaches agents in real time and integrates with existing software like Salesforce and Zendesk. EdgeTier's aim is to increase agent productivity by more than 50%, speeding up response times and improving the quality of interactions, so it's a good fit for contact centers across many industries.
Last, MonkeyLearn offers a no-code text analytics tool that lets you clean, label and visualize customer feedback with AI. It offers immediate insights through customizable charts and visualizations, and it can integrate with a variety of apps including Zendesk and Google Sheets. MonkeyLearn's pre-built and custom machine learning models for sentiment analysis and other text classification tasks can help you automate text analysis and get more out of customer feedback.