AI-enhanced digital twins for best NPS network - 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
Customer satisfaction scores are crucial metrics to long-term sustainability in the ultra- competitive telecommunications industry. The GSMA's Mobile Economy 2024 report predicts minimal growth in mobile user penetration – so CSPs must prioritize enhancing customer experience to maintain market share and foster sustainable development. Yet traditional approaches to managing customer satisfaction typically rely on random, small-scale surveys. These are often insufficient for accurately identifying the root causes behind customer dissatisfaction.
This Catalyst therefore offers a solution designed to improve vital metrics such as the Net Promoter Score by using advanced AI, digital twin technology, and big data analytics. By combining detailed big data simulations and advanced AI algorithms, CSPs can effectively model and optimize common business scenarios, finding tailored and cost-effective solutions to network challenges. AI-powered digital twins also create accurate virtual replicas of network environments then simulate real-world conditions.
This visualization provides real-time, predictive insights and actionable recommendations, giving CSPs deeper, more granular insights into customer behavior and real-time network performance. They are then far better equipped to proactively monitor and manage potential network issues through intelligently automated network optimization. They can also employ sophisticated root cause analysis techniques enhanced by graph computing and big data analytics. These technologies quickly pinpoint specific network problems, facilitating targeted interventions and optimizations to improve network reliability and performance.
This solution is expected to improve CSP performance across a wide range of relevant indicators, including:
1. Net Promoter Score 2. Customer churn rate 3. Complaint resolution time 4. Network quality score 5. Marketing conversion rate 6. Service response time 7. Employee satisfaction
This approach to customer satisfaction management will create more personalized, responsive, and efficient customer experiences. Ultimately, by enhancing network performance and reliability, it will empower CSPs to better meet evolving customer expectations, ensuring continued competitiveness and market leadership.
Resources
Explore the previous phases of this project
Data-to-NPS: Boosting NPS using Decision Intelligence
Contact team
Email the members of the Catalyst team to request more details.