Optimizing Customer Support
Issue
A company faced challenges with frequent context switches in customer support, leading to slower query resolution and reduced satisfaction. Shperling.ai's context-switch classifier, with >94% accuracy, enabled real-time topic detection and automated transitions. Results: faster query processing, improved accuracy, and enhanced customer satisfaction through seamless workflow automation.
Anna.Money
Fintech
Solution using Shperling.AI
A classifier for context switching in communication has been created with an accuracy of over 94%. The functionality included: Real-time detection of new communication topics. Automatic switching of processes for each new context. Integration with customer support systems.
Benefits
Reduction in request processing time, increased accuracy, and automation of transitions between topics. Customers were satisfied, which improved their support and accelerated workflows.
