Closed-loop data intelligence applications
Relationchips breaks through to form a closed loop of data query, monitoring and warning, and decision-making execution. Its real-time dashboard function adopts WebSocket long connection technology, which can complete the interface refresh within 300ms when the data source changes, saving 85% server load than the traditional polling method. What's more, its intelligent reminder system supports setting compound trigger conditions (e.g., 'Customers have not logged in for 30 days and ARPU value is greater than 500'), which is pushed through multiple channels, such as email/nail/enterprise WeChat.
Typical application scenarios include: the customer success team configuring 'high value customer activity decline' alerts, the sales department setting up 'abnormal year-on-year fluctuations in regional sales' monitoring, and the operations team setting up 'real-time ROI for promotional activities'. Kanban'. The use case of an e-commerce platform shows that with Relationchips' automated monitoring system, the response time for customer churn alerts was shortened from an average of 5 days to less than 2 hours, and annual churned revenues of about 1.2 million dollars were recovered.
This answer comes from the articleRelationchips: an AI assistant for querying and visualizing data in natural languageThe
