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Version 5.4
March 4, 2025
Enhancements
Configuring Default Queue Type for RabbitMQ Applications
Default queue type configuration has been introduced for RabbitMQ applications, allowing users to set a predefined queue type. This ensures better message handling and optimized performance based on application needs.
Sentiment Analysis for Email Type Conversations
Sentiment analysis has been extended to email conversations, enabling the system to assess the emotional tone of email content. This enhancement provides deeper insights into customer interactions and overall sentiment trends.
Rating for CSAT as a Conversation Filter
A new filtering option based on CSAT (Customer Satisfaction) ratings has been added to conversation lists. This allows users to refine search results and focus on conversations with specific satisfaction levels.
Rating for CSAT as a Category Parameter
CSAT ratings can now be used as a category parameter, enabling more precise categorization based on customer satisfaction scores. This helps in analyzing trends and improving customer experience strategies.
Delivering SR Results from RTG to Analysis Worker
Speech Recognition (SR) results received from RTG are now delivered directly to the Analysis Worker. This improves processing efficiency by ensuring seamless data flow between services.
Improvements
Changing the Term 'Redaction' to 'Masking'
The term "Redaction" has been replaced with "Masking" across the system for better clarity and consistency. This change ensures a more intuitive understanding of data obfuscation processes.
Minor UI Enhancements
Several minor improvements have been implemented to enhance the user interface. These enhancements make the interface more intuitive and user-friendly, contributing to a better overall user experience.
Minor Bug Fixes
Various minor bugs have been addressed to improve overall system stability and performance. These fixes result in a smoother and more reliable user experience.