AI-empowered digital twin for NPS-oriented autonomous network optimization – Phase II
URN C25.0.822
Topics AI (Artificial Intelligence), Customer experience management, Digital twin
Empower CSPs to proactively manage and improve NPS through converged data and AI technologies
Project companies
In today's competitive telecom landscape, customer satisfaction and Net Promoter Score (NPS) are critical indicators of a company's market competitiveness and long-term sustainability. Traditional methods of managing NPS, which rely on random surveys with small sample sizes, often fall short in identifying and addressing the root causes of customer dissatisfaction.
This project introduces an innovative approach to enhance network NPS by leveraging advanced AI and digital twin technology. Our solution provides a real-time, predictive, and actionable method for managing and improving network performance. By focusing on network NPS, we aim to significantly boost overall customer satisfaction and loyalty.
Using AI, we can gain deeper insights into customer behavior and network performance, enabling proactive management and optimization of the network. This ensures that CSPs can quickly address and prevent potential issues, leading to a more reliable and high-performing network. The result is a more satisfying and seamless experience for end-users, ultimately driving higher NPS scores and business growth.
By enhancing network NPS, we transform the way CSPs interact with their customers, ensuring continuous service improvement and personalized experiences that foster long-term loyalty and growth.
Building on the initial success of our data-driven NPS management solution, this proposal specifically focuses on enhancing network NPS. In the first phase, we established a robust foundation for using decision intelligence to improve overall NPS. For this second phase, we are introducing advanced AI and machine learning capabilities to further refine and strengthen our approach, particularly in the area of network satisfaction.
Our enhanced solution will provide deeper insights into customer behavior and network performance, enabling real-time monitoring and proactive management of network issues. By leveraging these advanced technologies, we aim to not only react more quickly to customer feedback but also predict and prevent potential network problems before they impact the customer experience. This focus on network NPS will help CSPs achieve higher levels of network reliability and performance, ultimately leading to a significant boost in customer satisfaction and loyalty.
Resources
Explore the previous phases of this project
Data-to-NPS: Boosting NPS using Decision Intelligence