This use case shows how to reduce human touch points by either fully automating QoE assurance or providing humans with decision support to improve their productivity. Participants include Spirent, NetYCE and Accenture.
Introduction
This short introduction video talks about the project and its participants:
Demo video
In this video you see the 3 use cases that have been implemented to automatically improve the customer experience:
- A customer has an SMS quality problem which is automatically remedied (zero-touch)
- The system supports the care agent to make better, faster and cheaper decisions when helping the customer
- Automated detection of a network issue with automated trouble ticket creation
