Voice Experience Analytics
Understanding users. Elevating experiences.
RADCOM Voice Experience Analytics monitors customer experiences across mobile networks. The solution provides end-to-end (from RAN to core) analysis, offering complete visibility into VoNR and VoLTE services. Â As a result, operators gain valuable insights into behavior, quality of experience (QoE), and network utilization patterns. These insights enable proactive issue identification, targeted network optimization, and the delivery of personalized services that improve customer satisfaction and loyalty. The solution offers media analysis across dozens of codecs to resolve issues like mute calls and one-way calls as well as analysis of pager mode messaging and session mode messaging.Â
Learn more about our VoNR/VoLTE solutions Â
Benefits
Enhances customer
experiences
Deep insights into apps and
services to ensure QoEÂ
Advanced media
analysis
Pinpoints and resolves
issues across multiple codecs Â
Enables proactive service management
Predicts potential degradation before impacting customersÂ
Â
Provides real-time
user-level visibility
Uncovers trends and correlatesÂ
activities with network eventsÂ
Supports personalized
service delivery
Customizes experiences
for individual customers Â
Drives operational
efficiency
Transforms and optimizes
network operations Â
Insightful Analytics. Exceptional Experiences
With High-Capacity User Plane Analytics, operators can correlate user-level data with network events in real time, uncover usage trends, and predict potential service degradations before they affect customers. Ultimately, empowering telecom operators to transition from reactive problem-solving to proactive, data-driven decision-making, driving operational efficiency, and ensuring superior customer experiences.Â
Built-in AI/ML Automation
By leveraging advanced AI and ML, operators can detect and resolve VoNR/VoLTE issues before they impact customers. Built-in intelligence enables anomaly detection, predictive and prescriptive analytics, turning vast network data into actionable insights. By automatically correlating data across events, records, and packets, the system identifies patterns and trends that a human could not detect manually. This empowers operators to address VoNR/VoLTE performance problems and prevent issues before they occur.
