Automatically synthesize customer conversation data, Highlight emerging trends
Mindlake.ai automatically organises and synthesizes customer conversation data scattered across all channels like Slack, Discord, Social Media, User Reviews, Transcripts, Support Chats, and predicts trends and churn.
Highlight emerging trends in
customer conversations
Predicts trends in customer feedback and flags users who might churn soon (such as repeated complaints, returns, low ratings), so that you can take action while there’s still time
Automatically Cluster Similar
Feedback
Detects sentiment & automatically categorizes feedback into themes (e.g., shipping/delivery delays, payment/checkout issues, app usability, common complaints, popular feature requests), so that you can prioritise them easily even within large vol. of data
Organise conversation from
multiple channels
It organizes customer feedback from multiple channels - live chat, social media, user reviews, app store feedback, surveys, NPS - at one place, reducing manual sorting and speeding up analysis
Connect your instant messaging apps, meeting channels, transcripts, app reviews
Bridge the gap between customer feedback and action!
Visualisations powered by AI
Get accurate and up-to-date analysis by synthesizing conversations across multiple channels like Slack, social media, support tickets, and user reviews. Our AI automatically categorizes and highlights emerging patterns.
Get alerts on emerging customer issues, sentiment shifts, and trending feature requests that need attention
Track customer satisfaction metrics and churn risk indicators in real-time
Surface actionable insights from customer conversations
Bridge the gap between customer feedback and action
Help teams quickly understand and act on customer needs by automatically organizing and categorizing feedback.
Customer Success teams can easily identify and address common pain points
Product teams can make data-driven decisions based on aggregated customer needs
Leadership gets clear insights into customer satisfaction trends and churn risks